JP2002219116A - Sleep cycle detector - Google Patents
Sleep cycle detectorInfo
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- JP2002219116A JP2002219116A JP2001018145A JP2001018145A JP2002219116A JP 2002219116 A JP2002219116 A JP 2002219116A JP 2001018145 A JP2001018145 A JP 2001018145A JP 2001018145 A JP2001018145 A JP 2001018145A JP 2002219116 A JP2002219116 A JP 2002219116A
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- JP
- Japan
- Prior art keywords
- detecting
- sleep
- heart rate
- detection
- sleep cycle
- Prior art date
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Abstract
Description
【０００１】[0001]
【発明の属する技術分野】本発明は、人体の睡眠周期を
検出する睡眠周期検出装置に関するものである。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a sleep cycle detecting device for detecting a sleep cycle of a human body.
【０００２】[0002]
【従来の技術】従来、人体の睡眠状態を調べるために睡
眠中の脳波、眼球電図、筋電図を測定して人体の睡眠深
度を判定しており、上記３種の測定結果から４段階から
なるノンレム睡眠と、レム睡眠および覚醒の６段階に分
類されて人体の睡眠の状況を知るために用いられてい
る。一般に人体の睡眠は脳の休息のためのノンレム睡眠
と休息から覚醒させるための準備段階であるレム睡眠と
が約１時間半の周期で繰り返されており、また、一晩の
複数の睡眠周期では入眠後の最初の１、２周期は睡眠深
度３、４の深いノンレム睡眠が長く現れる一方でレム睡
眠はあまり出現せず、３周期以降になると睡眠深度３や
４の深いノンレム睡眠はほとんどなくなり、逆にレム睡
眠は長くなっていく。人体にとっては脳を十分に休息さ
せるために深いノンレム睡眠が十分にあること、そし
て、睡眠からさわやかに目覚めるためにレム睡眠が周期
的に出現することの両方が必要とされる。2. Description of the Related Art Conventionally, in order to examine the sleep state of a human body, brain waves, electro-oculograms, and electromyograms during sleep are measured to determine the depth of sleep of the human body. Are classified into six stages of non-REM sleep and REM sleep and wakefulness, and are used to know the sleep state of the human body. Generally, the sleep of the human body is a non-REM sleep for resting the brain and REM sleep, which is a preparation stage for awakening from rest, are repeated in a cycle of about one and a half hours, and in a plurality of overnight sleep cycles, During the first one or two cycles after falling asleep, deep non-REM sleep at sleep depths 3 and 4 appears for a long time, while REM sleep does not appear much. After the third cycle, deep non-REM sleep at sleep depths 3 and 4 almost disappears, Conversely, REM sleep gets longer. The human body needs both enough non-REM sleep to rest the brain well and periodic appearance of REM sleep to wake up from sleep.
【０００３】このような睡眠深度や睡眠周期の検出は一
般に人体の脳波等を採取するために人体に電極を貼り付
ける事が必要であり、準備が大変わずらわしく、また、
睡眠をも妨げるものとなっていた。[0003] In order to detect such a sleep depth and a sleep cycle, it is generally necessary to attach electrodes to the human body in order to collect brain waves and the like of the human body, and preparation is very troublesome.
It also hindered sleep.
【０００４】このような手間を省くために脳波、筋電
図、眼球電図を用いることなく睡眠深度や睡眠周期を検
出する方法が提案されている。たとえば、特開平５−９
５９９３５号公報に開示されるものは、寝具に配置した
圧電素子により人体の睡眠中の粗体動を検出し、粗体動
の強度と粗体動の静止時間から睡眠深度を推定してい
る。また、特開平８−１１２２７０号公報に開示される
ものは、現在の心拍数の値とそれまでの心拍数の最低値
との差分と粗体動からノンレム睡眠とレム睡眠とを判別
している。さらに、特開２０００−２１５号公報に開示
されるものは、寝具の下に配置されたエアマットの圧力
を検出して睡眠中の人体の心拍数、呼吸数、粗体動を検
出し、心拍数と呼吸数の変化から睡眠深度１および２の
浅いノンレム睡眠と睡眠深度３および４の深いノンレム
睡眠とを判別し、粗体動の発生頻度からノンレム睡眠と
レム睡眠とを判別している。[0004] In order to save such labor, a method of detecting the depth of sleep and the sleep cycle without using an electroencephalogram, an electromyogram or an electro-oculogram has been proposed. For example, JP-A-5-9
The technology disclosed in Japanese Patent No. 59935 detects a coarse movement of a human body during sleep by a piezoelectric element arranged on a bedding, and estimates a sleep depth from the intensity of the coarse movement and the resting time of the coarse movement. Japanese Patent Application Laid-Open No. H08-112270 discriminates between non-REM sleep and REM sleep based on the difference between the current heart rate value and the minimum value of the heart rate up to that time and the coarse body movement. . Further, the one disclosed in Japanese Patent Application Laid-Open No. 2000-215 detects the pressure of an air mat placed under bedding to detect the heart rate, respiration rate, and coarse body movement of a sleeping human body, and detects the heart rate. And a change in respiratory rate, a non-REM sleep with a light sleep depth of 1 and 2 and a non-REM sleep with a deep sleep depth of 3 and 4 are discriminated.
【０００５】[0005]
【発明が解決しようとする課題】しかしながら、上記従
来の睡眠周期検出装置では、主として粗体動の発生をレ
ム睡眠の指標として用いているが、ノンレム睡眠でも四
肢が動くなどの軽い粗体動も多く発生し、また、レム睡
眠中の粗体動もノンレム睡眠との境界で粗体動が多く、
レム睡眠が長く継続する場合はレム睡眠中であっても粗
体動が比較的少なくなり、結果として両者の区別が困難
になる場合があった。However, in the above-described conventional sleep cycle detecting apparatus, the occurrence of coarse body movement is mainly used as an index of REM sleep. Many occur, and there are many coarse movements during REM sleep at the border with non-REM sleep,
When REM sleep is continued for a long time, even during REM sleep, the amount of coarse movement is relatively small, and as a result, it may be difficult to distinguish between the two.
【０００６】また、粗体動だけでなくレム睡眠時に変動
が大きくなる心拍数を合わせて用いる場合も、粗体動を
検出する圧力センサや振動センサの出力から心拍数を算
出する構成の場合、粗体動の影響で心拍数を安定して検
出できない場合も多く、その検出誤差をレム睡眠時の心
拍数変動と誤認識してしまったり、入眠後最初の睡眠周
期ではレム睡眠の出現時間が短かかったり出現しない場
合もあり、レム睡眠の特徴のみを用いて睡眠周期を検出
するには限界があった。In addition, when a heart rate that fluctuates during REM sleep is used in addition to the body movement, the heart rate is calculated from the output of a pressure sensor or a vibration sensor that detects the body movement. In many cases, heart rate cannot be detected stably due to the influence of coarse body motion, and the detection error is erroneously recognized as heart rate fluctuation during REM sleep, or the appearance time of REM sleep in the first sleep cycle after falling asleep In some cases, it was short or did not appear, and there was a limit in detecting the sleep cycle using only the characteristics of REM sleep.
【０００７】本発明は、前記従来の課題を解決するもの
で、人体に電極等を取りつけることなく簡単にかつ確実
に睡眠周期を検出できる睡眠周期検出装置を提供するこ
とを目的とする。An object of the present invention is to solve the above-mentioned conventional problems, and an object of the present invention is to provide a sleep cycle detecting device capable of easily and surely detecting a sleep cycle without attaching electrodes or the like to a human body.
【０００８】[0008]
【課題を解決するための手段】本発明は上記課題を解決
するために、粗体動検出手段が検出した睡眠中の粗体動
から粗体動発生回数を算出し、心拍数検出手段が検出し
た睡眠中の心拍数の変動を算出して、粗体動発生回数ま
たは心拍数変動から人体の睡眠周期を決定する。また、
粗体動検出手段の検出結果と心拍数検出手段の検出結果
とから人体の入眠、深いノンレム睡眠、レム睡眠を検出
して人体の睡眠周期を検出する。SUMMARY OF THE INVENTION In order to solve the above-mentioned problems, the present invention calculates the number of occurrences of coarse body motion from the coarse body motion during sleep detected by the coarse body motion detection means, and detects the number of occurrences of the coarse body motion. The fluctuation of the heart rate during sleep is calculated, and the sleep cycle of the human body is determined from the number of occurrences of the coarse movement or the fluctuation of the heart rate. Also,
A sleep cycle of the human body, deep non-REM sleep, and REM sleep are detected from the detection result of the coarse body motion detection means and the detection result of the heart rate detection means to detect a sleep cycle of the human body.
【０００９】上記発明によれば、睡眠周期と相関する粗
体動発生回数または心拍数変動周期とから人体の睡眠周
期を決定するので、脳波や筋電図を採取するための電極
を用いることなく簡単に睡眠周期に検出できる。また、
粗体動と心拍数との２種類の睡眠中の特徴から入眠、深
いノンレム睡眠、レム睡眠を検出できるので、簡単かつ
正確に睡眠周期を検出できる。According to the present invention, the sleep cycle of the human body is determined from the number of occurrences of coarse body motion or the heart rate fluctuation cycle that correlates with the sleep cycle, so that an electrode for collecting electroencephalograms and electromyograms is not used. It can be easily detected during the sleep cycle. Also,
Since sleep onset, deep non-REM sleep, and REM sleep can be detected from two types of characteristics during sleep, that is, body movement and heart rate, the sleep cycle can be detected easily and accurately.
【００１０】[0010]
【発明の実施の形態】本発明の請求項１にかかる睡眠周
期検出装置は、人体の動きである粗体動を検出する粗体
動検出手段と、前記粗体動検出手段の検出結果から一定
時間の粗体動発生回数を算出する粗体動発生回数算出手
段と、前記粗体動発生回数算出手段の出力から前記人体
の睡眠周期を検出する睡眠周期検出手段とを備えた。DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A sleep cycle detecting apparatus according to a first aspect of the present invention includes a coarse movement detecting means for detecting a coarse movement, which is a movement of a human body, and a constant value based on a detection result of the coarse movement detecting means. A coarse body motion occurrence number calculating unit for calculating the number of times of coarse body motion occurrence time, and a sleep cycle detecting unit for detecting a sleep cycle of the human body from an output of the rough body motion occurrence number calculation unit are provided.
【００１１】そして、睡眠周期と相関がある粗体動の発
生周期を求めて睡眠周期を検出するので、睡眠周期の概
略を簡単に検出できる。Then, since the sleep cycle is detected by obtaining the occurrence cycle of the coarse body motion correlated with the sleep cycle, the outline of the sleep cycle can be easily detected.
【００１２】本発明の請求項２にかかる睡眠周期検出装
置は、人体の心拍数を検出する心拍数検出手段と、前記
心拍数検出手段の検出結果から心拍数の変動を算出する
心拍数変動算出手段と、前記心拍数変動算出手段の出力
から前記人体の睡眠周期を検出する睡眠周期検出手段と
を備えた。According to a second aspect of the present invention, there is provided a sleep cycle detecting apparatus, comprising: a heart rate detecting means for detecting a heart rate of a human body; and a heart rate fluctuation calculating means for calculating a heart rate fluctuation from a detection result of the heart rate detecting means. And a sleep cycle detecting means for detecting a sleep cycle of the human body from an output of the heart rate variability calculating means.
【００１３】そして、睡眠周期と相関がある人体の心拍
の変動周期を求めて睡眠周期を検出するので、睡眠周期
の概略を簡単に検出できる。Since the sleep cycle is detected by obtaining the fluctuation cycle of the heartbeat of the human body having a correlation with the sleep cycle, the outline of the sleep cycle can be easily detected.
【００１４】本発明の請求項３にかかる睡眠周期検出装
置は、人体の動きである粗体動を検出する粗体動検出手
段と、前記人体の心拍数を検出する心拍数検出手段と、
前記粗体動検出手段の検出結果と前記心拍数検出手段の
検出結果とから前記人体の睡眠周期を検出する睡眠周期
検出手段とを備え、睡眠周期検出手段は、心拍数検出手
段の検出結果と粗体動検出手段の検出結果とから前記人
体の入眠を検出する入眠検出手段を備える。According to a third aspect of the present invention, there is provided a sleep cycle detecting apparatus, comprising: a coarse movement detecting means for detecting a coarse movement which is a movement of a human body; a heart rate detecting means for detecting a heart rate of the human body;
Sleep cycle detection means for detecting the sleep cycle of the human body from the detection result of the coarse movement detection means and the detection result of the heart rate detection means, the sleep cycle detection means, the detection result of the heart rate detection means A sleep detection means for detecting sleep of the human body from a detection result of the coarse movement detection means;
【００１５】そして、粗体動と心拍数とを用いて入眠を
検出するので、確実に入眠を検出できる。Since falling asleep is detected using the body movement and the heart rate, falling asleep can be reliably detected.
【００１６】本発明の請求項４にかかる睡眠周期検出装
置は、入眠検出手段は、心拍数検出手段の検出した心拍
数の変化があらかじめ決められた閾値以下であり、か
つ、粗体動検出手段が粗体動を検出しない状態を検出
し、この状態があらかじめ決められた時間以上連続した
場合に、人体が入眠したと判断する。According to a fourth aspect of the present invention, there is provided the sleep cycle detecting device, wherein the sleep onset detecting means is configured such that a change in the heart rate detected by the heart rate detecting means is equal to or less than a predetermined threshold value, and Detects a state in which no coarse movement is detected, and if this state continues for a predetermined time or longer, it is determined that the human body has fallen asleep.
【００１７】そして、粗体動と心拍数の入眠時の特徴を
用いて入眠を検出するので、確実に入眠を検出できる。Since falling asleep is detected using the characteristics at the time of falling asleep such as coarse body movement and heart rate, falling asleep can be detected reliably.
【００１８】本発明の請求項５にかかる睡眠周期検出装
置は、入眠検出手段は、心拍数検出手段の検出した心拍
数の変化があらかじめ決められた閾値以下であり、か
つ、前記粗体動検出手段が粗体動を検出しない状態を検
出し、その状態があらかじめ決められた時間以上連続し
た場合に、心拍数の変化があらかじめ決められた閾値以
下になった時点、または、入眠検出の直前に粗体動が発
生した時点から一定時間後の時点のうち、どちらか後の
時点を持って入眠時刻とする。According to a fifth aspect of the present invention, in the sleep cycle detecting device, the sleep detection means includes a change in heart rate detected by the heart rate detection means which is equal to or less than a predetermined threshold value, and If the means detects a state where it does not detect coarse body movement and the state continues for a predetermined time or more, when the change in heart rate becomes equal to or less than a predetermined threshold value, or immediately before falling asleep detection Of the time points after a certain period of time after the occurrence of the coarse body motion, any of the time points is taken as the sleep onset time.
【００１９】そして、粗体動と心拍数の入眠時の特徴を
用いて入眠を検出し、これらの特徴のうち後に発生した
特徴の時刻を持って入眠時刻とするので、確実に入眠時
刻を決定できる。Sleeping is detected by using the features of the body movement and the heart rate at the time of falling asleep, and the time of the later feature of these features is taken as the falling asleep time, so that the falling asleep time is reliably determined. it can.
【００２０】本発明の請求項６にかかる睡眠周期検出装
置は、人体の動きである粗体動を検出する粗体動検出手
段と、人体の心拍数を検出する心拍数検出手段と、前記
粗体動検出手段の検出結果と前記心拍数検出手段の検出
結果とから前記人体の睡眠周期を検出する睡眠周期検出
手段とを備え、前記睡眠周期検出手段は、前記粗体動検
出手段の検出結果が一定時間粗体動を検出しないかまた
は一定時間中の粗体動の回数があらかじめ決められた閾
値以下であり、かつ、前記心拍数検出手段の検出結果の
変動があらかじめ決められた閾値以下のとき深いノンレ
ム睡眠と判断する。According to a sixth aspect of the present invention, there is provided a sleep cycle detecting apparatus, comprising: a coarse body motion detecting means for detecting a coarse body motion which is a human body motion; a heart rate detecting means for detecting a heart rate of the human body; Sleep cycle detection means for detecting a sleep cycle of the human body from the detection result of the body motion detection means and the detection result of the heart rate detection means, wherein the sleep cycle detection means is a detection result of the coarse motion detection means Does not detect the coarse movement for a certain time or the number of times of the coarse movement during a certain time is equal to or less than a predetermined threshold, and the fluctuation of the detection result of the heart rate detecting means is equal to or less than a predetermined threshold. Sometimes judge it as deep non-REM sleep.
【００２１】そして、粗体動と心拍数の深いノンレム睡
眠時の特徴を用いて深いノンレム睡眠を検出するので、
簡単に深いノンレム睡眠を検出できる。Then, deep non-REM sleep is detected by using the characteristics of non-REM sleep with deep body movement and heart rate.
You can easily detect deep non-REM sleep.
【００２２】本発明の請求項７にかかる睡眠周期検出装
置は、人体の動きである粗体動を検出する粗体動検出手
段と、人体の心拍数を検出する心拍数検出手段と、前記
粗体動検出手段の検出結果と前記心拍数検出手段の検出
結果とから前記人体の睡眠周期を検出する睡眠周期検出
手段とを備え、前記睡眠周期検出手段は、前記粗体動検
出手段の検出結果が一定時間中の粗体動の発生回数があ
らかじめ決められた閾値以上であり、かつ、前記心拍数
検出手段の検出結果の変動があらかじめ決められた閾値
以上のときレム睡眠と判断する。According to a seventh aspect of the present invention, there is provided a sleep cycle detecting device, comprising: a coarse body motion detecting means for detecting a coarse body motion as a human body movement; a heart rate detecting means for detecting a heart rate of a human body; Sleep cycle detection means for detecting a sleep cycle of the human body from the detection result of the body motion detection means and the detection result of the heart rate detection means, wherein the sleep cycle detection means is a detection result of the coarse motion detection means Is determined to be REM sleep when the number of occurrences of coarse movement during a certain period of time is equal to or greater than a predetermined threshold and the variation in the detection result of the heart rate detecting means is equal to or greater than a predetermined threshold.
【００２３】そして、粗体動と心拍数のレム睡眠時の特
徴を用いてレム睡眠を検出するので、簡単に深いノンレ
ム睡眠を検出できる。Then, since REM sleep is detected using the characteristics of REM sleep such as gross body movement and heart rate, deep non-REM sleep can be easily detected.
【００２４】本発明の請求項８にかかる睡眠周期検出装
置は、人体の動きである粗体動を検出する粗体動検出手
段と、人体の心拍数を検出する心拍数検出手段と、前記
粗体動検出手段の検出結果と前記心拍数検出手段の検出
結果とから前記人体の睡眠周期を検出する睡眠周期検出
手段とを備え、前記睡眠周期検出手段は、前記粗体動検
出手段の検出結果と前記心拍数検出手段の検出結果とか
ら、前記人体の入眠、深いノンレム睡眠、レム睡眠のう
ち少なくとも一つを検出して睡眠周期の検出に用いる。[0024] The sleep cycle detecting device according to claim 8 of the present invention comprises: a coarse body movement detecting means for detecting a coarse body movement which is a movement of a human body; a heart rate detecting means for detecting a heart rate of a human body; Sleep cycle detection means for detecting a sleep cycle of the human body from the detection result of the body motion detection means and the detection result of the heart rate detection means, wherein the sleep cycle detection means is a detection result of the coarse motion detection means And at least one of the human body falling asleep, deep non-REM sleep, and REM sleep is detected from the detection result of the heart rate detecting means and used for detecting a sleep cycle.
【００２５】そして、粗体動と心拍数から入眠、深いノ
ンレム睡眠、レム睡眠を検出して睡眠周期を検出できる
ので、正確な睡眠周期を簡単に検出できる。Since the sleep cycle can be detected by detecting sleep onset, deep non-REM sleep, and REM sleep from the body movement and the heart rate, an accurate sleep cycle can be easily detected.
【００２６】本発明の請求項９にかかる睡眠周期検出装
置は、請求項６または７記載の睡眠周期検出手段を備え
た請求項８記載の睡眠周期検出装置である。A sleep cycle detecting apparatus according to a ninth aspect of the present invention is the sleep cycle detecting apparatus according to the eighth aspect, comprising the sleep cycle detecting means according to the sixth or seventh aspect.
【００２７】そして粗体動と心拍数の深いノンレム睡眠
時の特徴を用いて深いノンレム睡眠を検出するので、簡
単に深いノンレム睡眠を検出できるので、粗体動と心拍
数から入眠、深いノンレム睡眠、レム睡眠を検出して睡
眠周期を検出でき正確な睡眠周期を簡単に検出できる。Since the deep non-REM sleep is detected using the characteristics of the non-REM sleep with the deep body movement and the heart rate, the deep non-REM sleep can be easily detected. The sleep cycle can be detected by detecting REM sleep, and the accurate sleep cycle can be easily detected.
【００２８】本発明の請求項１０にかかる睡眠周期検出
装置は、人体の動きである粗体動を検出する粗体動検出
手段と、前記粗体動検出手段の検出結果から粗体動発生
回数を算出する粗体動発生回数算出手段と、人体の心拍
数を検出する心拍数検出手段と、前記心拍数検出手段の
検出結果から心拍数の変動を算出する心拍数変動算出手
段と、前記粗体動発生回数算出手段の出力と前記心拍数
変動算出手段の出力から前記人体の睡眠周期を検出する
睡眠周期検出手段とを備えた。According to a tenth aspect of the present invention, there is provided a sleep cycle detecting device, comprising: a coarse body movement detecting means for detecting a coarse body movement which is a movement of a human body; Calculating the number of occurrences of coarse body motion, calculating the heart rate of the human body, detecting the heart rate, calculating the variation in heart rate from the detection result of the heart rate detecting means, calculating the heart rate fluctuation, A sleep cycle detecting means for detecting a sleep cycle of the human body from an output of the body motion occurrence frequency calculating means and an output of the heart rate variability calculating means.
【００２９】そして、粗体動発生回数と心拍変動発生周
期という睡眠周期と相関のある２つの変動から睡眠周期
を検出するので、簡単に睡眠周期を検出できる。Then, the sleep cycle is detected from two fluctuations, which are correlated with the sleep cycle, namely, the number of occurrences of body movements and the heartbeat fluctuation generation cycle, so that the sleep cycle can be easily detected.
【００３０】また、本発明の請求項１１にかかる睡眠周
期検出装置は、粗体動発生回数算出手段が、少なくとも
３０分間以上の時間に発生した粗体動の数から粗体動発
生回数を算出する。[0030] In the sleep cycle detecting device according to the eleventh aspect of the present invention, the number of occurrences of coarse movement is calculated from the number of coarse movements generated in at least 30 minutes or more. I do.
【００３１】そして、睡眠深度が深い場合でも粗体動が
発生する確率の高い時間間隔を用いて粗体動を検出し一
回のデータとするので、間欠的な出力をアナログデータ
に効率的に変換できる。Even when the sleep depth is deep, the coarse motion is detected using a time interval in which the probability of occurrence of the coarse motion is high and is made into one data, so that the intermittent output can be efficiently converted into analog data. Can be converted.
【００３２】また、本発明の請求項１２にかかる睡眠周
期検出装置は、睡眠周期検出手段が粗体動発生回数算出
手段の出力から１時間から２時間周期の変動を検出して
睡眠周期とする。Further, in the sleep cycle detecting device according to the twelfth aspect of the present invention, the sleep cycle detecting means detects a fluctuation of a one to two hour cycle from the output of the rough movement occurrence frequency calculating means and sets the sleep cycle as a sleep cycle. .
【００３３】そして、一般に１時間半程度と言われる睡
眠周期に相当する変動を検出して睡眠周期とするので、
睡眠周期と同期する変動を確実に検出できる。Then, a change corresponding to a sleep cycle generally called about one and a half hours is detected and set as a sleep cycle.
Fluctuations synchronized with the sleep cycle can be reliably detected.
【００３４】また、本発明の請求項１３にかかる睡眠周
期検出装置は、睡眠周期検出手段が、心拍数変動算出手
段の出力から１時間から２時間周期の変動周期を検出し
て睡眠周期の算出に用いる。[0034] In the sleep cycle detecting apparatus according to the thirteenth aspect of the present invention, the sleep cycle detecting means detects a fluctuation cycle of one to two hours from the output of the heart rate variability calculating means to calculate the sleep cycle. Used for
【００３５】そして、心拍数変動のうち睡眠周期と同期
する変動を検出して睡眠周期を決定するので、簡単かつ
正確な睡眠周期を決定できる。Since the sleep cycle is determined by detecting a change in heart rate fluctuation synchronized with the sleep cycle, a simple and accurate sleep cycle can be determined.
【００３６】また、本発明の請求項１４にかかる睡眠周
期検出装置は、心拍数検出手段の検出結果のうち、粗体
動検出手段が粗体動の発生を検出した時点の出力を除去
した上で睡眠周期の検出に用いる。In the sleep cycle detecting device according to the fourteenth aspect of the present invention, the output at the time when the rough movement detecting means detects the occurrence of the rough movement is removed from the detection results of the heart rate detecting means. Used to detect the sleep cycle.
【００３７】そして、睡眠周期の検出に粗体動発生のな
い時点のデータのみを用いるので、粗体動発生時の信頼
性の低い心拍数を用いることなく正確に睡眠周期を検出
できる。Since only the data at the time when no coarse movement occurs is used for detecting the sleep cycle, the sleep cycle can be accurately detected without using a heart rate with low reliability at the occurrence of the coarse movement.
【００３８】また、本発明の請求項１５にかかる睡眠周
期検出装置は、人体を検出する人体検出手段を持ち、心
拍数検出手段や粗体動検出手段は人体検出手段が人体を
検出している場合にのみ、心拍数検出や粗体動検出を行
なう。A sleep cycle detecting apparatus according to a fifteenth aspect of the present invention has a human body detecting means for detecting a human body, and the heart rate detecting means and the coarse movement detecting means detect the human body. Only in this case, the heart rate detection and the coarse movement detection are performed.
【００３９】そして、人体が存在する場合にのみ心拍数
や粗体動の検出を行なうので、人体以外からの一時的な
振動に影響されることなく確実に睡眠周期を検出でき
る。Since the heart rate and the coarse body movement are detected only when a human body is present, the sleep cycle can be reliably detected without being affected by temporary vibrations other than the human body.
【００４０】また、本発明の請求項１６にかかる睡眠周
期検出装置は、入眠検出手段を備え、前記入眠検出手段
が入眠を検出後あらかじめ決められらた時間以内に限り
深いノンレム睡眠の検出を行なう。A sleep cycle detecting apparatus according to a sixteenth aspect of the present invention includes sleep onset detecting means, and detects deep non-REM sleep only within a predetermined time after the sleep onset detecting means detects sleep onset. .
【００４１】そして、睡眠深度３または４の深いノンレ
ム睡眠が出現する睡眠前期に限り深いノンレム睡眠の検
出を行なうので、睡眠前期の深いノンレム睡眠を確実に
検出できる。Since the deep non-REM sleep is detected only in the early sleep period in which the deep non-REM sleep at the sleep depth of 3 or 4 appears, the deep non-REM sleep in the early sleep period can be reliably detected.
【００４２】また、本発明の請求項１７にかかる睡眠周
期検出装置は、入眠検出手段を備え、前記入眠検出手段
が入眠を検出後あらかじめ決められらた時間以降に限り
レム睡眠の検出を行なう。A sleep cycle detecting apparatus according to a seventeenth aspect of the present invention includes sleep onset detecting means, and detects REM sleep only after a predetermined time after the sleep onset detecting means detects sleep onset.
【００４３】そして、一般にレム睡眠が多く出現する睡
眠の後期に限りレム睡眠の検出を行なうので、睡眠の後
期のレム睡眠を確実に検出できる。In general, since REM sleep is detected only during the second half of sleep when REM sleep frequently appears, REM sleep in the second half of sleep can be reliably detected.
【００４４】[0044]
【実施例】以下、本発明の実施例について図面を用いて
説明する。Embodiments of the present invention will be described below with reference to the drawings.
【００４５】（実施例１）図１は本発明の実施例１にお
ける睡眠周期検出装置のブロック図である。図中１は敷
布団、２は敷布団１の下側に配置された人体の心拍や呼
吸の細かな振動から寝返りや四肢の移動などの体の動き
による粗体動まで様々な振動を検出する振動センサ、３
は振動センサの出力信号を増幅するとともに不要な周波
数成分を除去する信号処理手段、４は信号処理手段３の
出力の振幅を算出する振幅算出手段、５は振幅算出手段
４の出力から敷布団１上の人体の存在を検出する人体検
出手段、６は振幅算出手段４の出力から体の動きによる
粗体動のみを検出する粗体動検出手段、７は粗体動検出
手段の出力からその時点から３０分前までの粗体動発生
回数を検出して出力する粗体動発生回数算出手段、８は
粗体動発生回数算出手段７の出力から粗体動発生回数の
変動を算出する粗体動発生回数変動算出手段、９は信号
処理手段３の出力信号から心拍による変動成分を抽出し
て心拍数を検出する心拍数検出手段、１０は心拍数検出
手段の出力から心拍数変動を算出する心拍数変動算出手
段、１１は人体検出手段５の出力と粗体動検出手段６の
出力と心拍数検出手段９の出力とから入眠を決定する入
眠検出手段、１２は人体検出手段５の出力と粗体動発生
回数変動算出手段８の出力と心拍数変動算出手段１０の
出力と入眠検出手段１１の出力とから睡眠周期を決定す
る睡眠周期検出手段、１３は睡眠周期検出手段１２が検
出した睡眠周期を表示する表示手段である。(Embodiment 1) FIG. 1 is a block diagram of a sleep cycle detecting apparatus according to Embodiment 1 of the present invention. In the drawing, reference numeral 1 denotes a mattress, and 2 denotes a vibration sensor disposed under the mattress 1 for detecting various vibrations from minute vibrations of the heartbeat and breathing of the human body to coarse body movements due to body movements such as turning over and movement of limbs. , 3
Is a signal processing means for amplifying the output signal of the vibration sensor and removing unnecessary frequency components, 4 is an amplitude calculating means for calculating the amplitude of the output of the signal processing means 3, and 5 is a signal on the mattress 1 from the output of the amplitude calculating means 4. Means for detecting the presence of a human body, 6 is a coarse body motion detecting means for detecting only a coarse body motion due to body motion from the output of the amplitude calculating means 4, and 7 is an output from the coarse body motion detecting means from that time. Coarse body motion occurrence number calculating means 8 for detecting and outputting the number of rough body motion occurrences up to 30 minutes before, and a rough body movement number 8 for calculating a variation in the number of rough body movement occurrence numbers from the output of the coarse body movement occurrence number calculating means 7 The number-of-occurrence-variation calculating means 9 is a heart rate detecting means for detecting a heart rate by extracting a fluctuation component due to the heart rate from the output signal of the signal processing means 3, and 10 is a heart rate for calculating the heart rate fluctuation from the output of the heart rate detecting means Number variation calculation means, 11 is a human body examination Sleep detection means for determining sleep on the basis of the output of the means 5, the output of the coarse movement detection means 6, and the output of the heart rate detection means 9, and 12 indicates the output of the human body detection means 5 and the variation calculation means 8 Sleep cycle detecting means for determining a sleep cycle based on the output, the output of the heart rate variability calculating means 10 and the output of the sleep onset detecting means 11, and 13 is a display means for displaying the sleep cycle detected by the sleep cycle detecting means 12.
【００４６】ここで振動センサ２は圧電素子を用い、機
械的な振動が加えられた場合に振動の大きさに応じた電
荷を発生するものであり、敷布団１の下側に配置され
る。また、振動センサ２の下は畳１４となっている。ま
た、信号処理手段３は生体信号検出手段２の出力を増幅
する増幅手段３ａと不要な周波数信号を除去するフィル
ター３ｂとからなっている。Here, the vibration sensor 2 uses a piezoelectric element and generates an electric charge according to the magnitude of the vibration when a mechanical vibration is applied. The vibration sensor 2 is arranged below the mattress 1. A tatami 14 is provided below the vibration sensor 2. The signal processing means 3 comprises an amplifying means 3a for amplifying the output of the biological signal detecting means 2 and a filter 3b for removing unnecessary frequency signals.
【００４７】また、心拍数変動算出手段１０では、粗体
動検出手段６の出力を用い粗体動発生時に検出された心
拍数を心拍変動の算出に使用しないようにしており、ま
た、粗体動検出手段７と心拍数検出手段９とは人体検出
手段５の出力を用い人体が敷布団１上に存在していると
きにのみ粗体動や心拍数の検出を行っている。The heart rate variability calculating means 10 uses the output of the coarse motion detecting means 6 so that the heart rate detected at the occurrence of the coarse motion is not used for calculating the heart rate variability. The motion detecting means 7 and the heart rate detecting means 9 use the output of the human body detecting means 5 to detect the coarse body motion and the heart rate only when the human body is present on the mattress 1.
【００４８】上記構成の作用について説明する。図２に
振幅算出手段４の出力図を示す。人体が敷布団１に着床
し横になったり座ったりすると敷布団１の下側に配設さ
れた振動センサ２が振動して振動の大きさに応じた電圧
を発生する。この発生信号には、図２に示すように、着
床時には着床時の衝撃により一時的に大きな信号が現わ
れる（Ａ）が、人体が安静にしていると人体の心拍や呼
吸等の微体動による信号が継続して現われ（Ｂ）、寝返
りをしたり腕や脚を動かす粗体動の場合には微体動の場
合よりも大きな信号が一時的に出現する（Ｃ）。人体が
いなければ出力信号は小さくなりゼロに近づく（Ｄ）。The operation of the above configuration will be described. FIG. 2 shows an output diagram of the amplitude calculating means 4. When the human body lands on the mattress 1 and lays down or sits down, the vibration sensor 2 disposed below the mattress 1 vibrates and generates a voltage corresponding to the magnitude of the vibration. As shown in FIG. 2, a large signal appears temporarily in the generated signal due to the impact at the time of landing (A). However, if the human body is at rest, minute signals such as heartbeat and respiration of the human body are generated. A signal due to motion appears continuously (B), and a larger signal temporarily appears in the case of a coarse motion in which the user turns over or moves his / her arm or leg than in the case of a fine motion (C). If there is no human body, the output signal becomes small and approaches zero (D).
【００４９】一方、敷布団１に物が置かれた場合は、物
が置かれた瞬間には一時的に大きな信号が現われる
（Ｅ）が、物には人体のような心拍や呼吸による細かな
微体動はないので出力信号は再びゼロに近づく（Ｆ）。
また、人が敷布団１上を歩いて通過したような場合も物
を置いた場合と同様になる。On the other hand, when an object is placed on the mattress 1, a large signal appears temporarily at the moment when the object is placed (E). Since there is no body movement, the output signal approaches zero again (F).
Also, the case where a person walks on the mattress 1 and passes is the same as the case where an object is placed.
【００５０】人体が存在する場合と存在しない場合とを
分ける閾値として図に示すＶ１を用いることにより、振
幅算出手段４の出力をこのＶ１と比較することにより人
体の存在の有無を検出することができる。このような振
動センサ２からの出力信号は、信号処理手段３の増幅手
段３ａが増幅し、フィルター３ｂが不要な周波数成分を
除去して振幅算出手段４と心拍数検出手段９とに出力し
ている。By using V1 shown in the figure as a threshold for separating the case where a human body exists and the case where no human body exists, it is possible to detect the presence or absence of a human body by comparing the output of the amplitude calculating means 4 with this V1. it can. Such an output signal from the vibration sensor 2 is amplified by the amplifying means 3a of the signal processing means 3, and the filter 3b removes unnecessary frequency components and outputs the same to the amplitude calculating means 4 and the heart rate detecting means 9. I have.
【００５１】振幅算出手段４は信号処理手段３の出力信
号の振幅を算出して人体検出手段５と粗体動検出手段６
とに出力している。人体検出手段５では図２に示すよう
な在床時の信号の特徴に基づき敷布団１上の人体の存在
の有無を判定している。この判定アルゴリズムを図３に
示す。The amplitude calculating means 4 calculates the amplitude of the output signal of the signal processing means 3 and calculates the human body detecting means 5 and the coarse movement detecting means 6.
And output to. The human body detection means 5 determines the presence or absence of a human body on the mattress 1 based on the characteristics of the signal when the person is in the floor as shown in FIG. This determination algorithm is shown in FIG.
【００５２】電源を入れる（ＳＴ１）とまずタイマーに
Ｔ１をセットし（ＳＴ２）、「仮に人が存在」の判定か
らスタートする（ＳＴ３）。「仮に人が存在」とは、人
が存在していることが疑われるが確実ではない状態であ
り、「不在」から「在」へ判定を変更する場合には必ず
この判定を経過させて、確実に存在すると判断してはじ
めて判定を「在」に変えている。これにより、ノイズや
一時的な出力が発生しても「在」判定にならず、確実な
人体検出が可能となる。スタート後タイマーを減じなが
ら振幅算出手段４の出力をあらかじめ決められた閾値Ｖ
１と比較し、Ｖ１以上の状態がタイマーが０になるまで
連続すれば「在」に確定（ＳＴ６）し、タイマーが０に
なるまでにＶ１以下の状態に一度でもなれば「不在」に
確定（ＳＴ１５）となる（ＳＴ４、ＳＴ５）。When the power is turned on (ST1), first, T1 is set in a timer (ST2), and the process is started from the determination of "temporary presence of a person" (ST3). "Temporarily a person exists" is a state in which a person is suspected to be present but is not certain.When changing the determination from "absence" to "presence", this determination must be passed, The determination is changed to "Present" only after it is determined that it is present. As a result, even if noise or a temporary output occurs, it is not determined to be “present”, and reliable human body detection is possible. After the start, the output of the amplitude calculating means 4 is reduced by a predetermined threshold V while decreasing the timer.
Compared to 1, if the state of V1 or more continues until the timer becomes 0, it is determined to be “present” (ST6). If the state of V1 or more has been at least once before the timer becomes 0, it is determined to be “absent”. (ST15) (ST4, ST5).
【００５３】「在」が確定すると「仮に在」の時間も
「在」とし（ＳＴ７、ＳＴ９）、「仮に不在」から
「在」に確定された場合は「仮に不在」の時間も「在」
に戻して（ＳＴ８）、振幅算出手段４の出力がＶ１以下
になるのを検出するまでこの状態を維持する（ＳＴ１
０）。When "presence" is determined, the time of "temporarily" is also set to "presence" (ST7, ST9), and when "presence" is determined to "presence", the time of "temporary absence" is also "presence".
(ST8), and this state is maintained until it is detected that the output of the amplitude calculation means 4 becomes V1 or less (ST1).
0).
【００５４】振幅算出手段４の出力がＶ１以下になると
タイマーにＴ２をセットし（ＳＴ１１）、「仮に不在」
として（ＳＴ１２）として不在判定を行なう。「在」か
ら「不在」の判定は振幅算出手段４の出力がＶ１以下に
なる時間がＴ２以上連続した場合に「不在」に確定し
（ＳＴ１５）、タイマーが０になるまでに一度でもＶ１
以上になれば「在」に確定（ＳＴ６）する（ＳＴ１３、
ＳＴ１４）。「仮に不在」から「不在」に確定となった
場合は「仮に不在」となった時間も「不在」とし（ＳＴ
１６、ＳＴ１８）、「仮に在」から「不在」に確定され
た場合は「仮に在」の時間も「不在」に戻して（ＳＴ１
７）、振幅算出手段４の出力が入床時の人体の大きな体
動を示すＶ２以上になるのを検出するまでこの状態を維
持する（ＳＴ１９）。そして振幅算出手段４の出力がＶ
１以上になった場合にタイマーにＴ１をセット（ＳＴ２
０）して、再び「仮に在」として（ＳＴ３）として
「在」か「不在」かの判定を行なう。When the output of the amplitude calculating means 4 becomes equal to or less than V1, T2 is set in the timer (ST11) and "temporarily absent".
(ST12), the absence determination is performed. The determination of “absence” from “presence” is determined to be “absence” when the time during which the output of the amplitude calculation means 4 becomes equal to or less than V1 continues for T2 or more (ST15).
If this is the case, it is determined to be “present” (ST6) (ST13,
ST14). If the “absent” is confirmed to “absent”, the “temporarily absent” time is also regarded as “absent” (ST
16, ST18), when it is determined from “tentatively present” to “absent”, the time of “tentatively present” is returned to “absent” (ST1).
7) This state is maintained until it is detected that the output of the amplitude calculating means 4 becomes equal to or higher than V2 indicating a large body motion of the human body when entering the bed (ST19). The output of the amplitude calculating means 4 is V
When it becomes 1 or more, T1 is set to the timer (ST2
0), and then, as "temporarily" (ST3), it is determined whether "present" or "absent".
【００５５】この敷布団１上での人体の在、不在の判定
は粗体動検出手段６と心拍数検出手段９と入眠検出手段
１１と睡眠周期検出手段１２に出力される。粗体動検出
手段６は、人体検出手段５が敷布団１上に人体が存在す
ることを検出している場合に、振幅算出手段４の出力か
ら敷布団１への人体の入床、離床や敷布団１上で寝返り
などの大きな粗体動のみを検出して粗体動発生回数算出
手段７と心拍数変動算出手段１０と入眠検出手段１１に
出力している。The determination of the presence or absence of the human body on the mattress 1 is output to the coarse movement detecting means 6, the heart rate detecting means 9, the sleep detecting means 11, and the sleep cycle detecting means 12. When the human body detecting means 5 detects that a human body is present on the mattress 1, the coarse body movement detecting means 6 enters or leaves the mattress 1 from the output of the amplitude calculating means 4 to the mattress 1. Above, only large body movements such as turning over are detected and output to the body movement occurrence frequency calculation means 7, heart rate fluctuation calculation means 10 and falling asleep detection means 11.
【００５６】なお、粗体動検出手段６では、人体検出手
段５が敷布団１上に人体がいること検出している場合に
のみ人体の粗体動とするので、敷布団１上に人体が存在
しない場合に敷布団１の近くに人が近づいたり、敷布団
の上を歩いたりして振動センサ２から大きな出力が出た
場合でも、これを粗体動と誤認識して誤った入眠検出や
睡眠周期検出を行なうことを防止できる。In the rough movement detecting means 6, since the rough movement of the human body is determined only when the human body detecting means 5 detects the presence of the human body on the mattress 1, no human body exists on the mattress 1. In this case, even when a person approaches the mattress 1 or walks on the mattress, a large output is output from the vibration sensor 2, which is erroneously recognized as a coarse body motion and erroneous sleep detection or sleep cycle detection is performed. Can be prevented.
【００５７】心拍数検出手段９は、人体検出手段５が敷
布団１上に人体が存在することを検出した場合に、信号
処理手段３の出力からフィルターにより０．５Ｈｚから
２Ｈｚまでの信号を抽出しこの信号の周期を求めて心拍
数を算出し、心拍数変動算出手段１０と入眠検出手段１
１に出力している。心拍数変動算出手段１０は心拍数検
出手段９の５分間の分散を求めて心拍数の変動の大きさ
を算出し、睡眠周期検出手段１２に出力しているが、粗
体動発生時は信号処理手段３の出力信号が大きくぶれて
信号処理手段３の出力の周期性を用いて心拍数を算出し
ている心拍数検出手段９の心拍数検出精度が低下してし
まうことから、粗体動検出手段６の出力を用いて、粗体
動が発生した時点の信号処理手段３の出力を用いて算出
された心拍数のデータを取り除いた上で５分間の分散を
算出し、粗体動による影響を受けない心拍数変動を算出
して睡眠周期検出手段１２に出力している。ここでは、
人体検出手段５が敷布団１上に人体がいること検出して
いる場合にのみ人体の心拍数を検出するので、人体の信
号のない状態で無理に心拍数を算出してしまうことがな
く、これを用いて誤った入眠検出や睡眠周期検出を行な
うことを防止できる。When the human body detecting means 5 detects the presence of a human body on the mattress 1, the heart rate detecting means 9 extracts a signal from 0.5 Hz to 2 Hz from the output of the signal processing means 3 by using a filter. The period of this signal is obtained to calculate the heart rate, and the heart rate variability calculating means 10 and the falling asleep detecting means 1 are calculated.
1 is output. The heart rate variability calculation means 10 calculates the five-minute variance of the heart rate detection means 9 to calculate the magnitude of the heart rate variance, and outputs it to the sleep cycle detection means 12. Since the output signal of the processing means 3 greatly fluctuates and the heart rate detection accuracy of the heart rate detecting means 9 which calculates the heart rate using the periodicity of the output of the signal processing means 3 decreases, Using the output of the detecting means 6, the data of the heart rate calculated using the output of the signal processing means 3 at the time when the coarse motion occurs is removed, and the variance for 5 minutes is calculated. The heart rate fluctuation which is not affected is calculated and output to the sleep cycle detecting means 12. here,
Since the heart rate of the human body is detected only when the human body detecting means 5 detects that the human body is on the mattress 1, the heart rate is not forcibly calculated without the signal of the human body. Erroneous sleep detection or sleep cycle detection can be prevented.
【００５８】入眠検出手段１１は、人体検出手段５が敷
布団１上に人体が存在することを検出している場合に、
粗体動検出手段６の出力と心拍数検出手段９の出力とか
ら敷布団１上の人体の入眠の検出を行っている。この入
眠検出段の入眠の検出原理を図４を用いて説明する。図
４（ａ）は１分間の心拍数、図４（ｂ）は粗体動の発生
状況、図４（ｃ）は脳波等の結果から判定された睡眠段
階である。なお、図４（ｃ）の縦軸の記号はＷは覚醒、
Ｒはレム睡眠、１〜４の数字はノンレム睡眠の睡眠深度
を示す。When the human body detecting means 5 detects that a human body is present on the mattress 1,
From the output of the coarse movement detecting means 6 and the output of the heart rate detecting means 9, the detection of falling asleep of the human body on the mattress 1 is performed. The principle of detection of falling asleep by the falling asleep detection stage will be described with reference to FIG. FIG. 4A shows a heart rate for one minute, FIG. 4B shows a state of occurrence of coarse body motion, and FIG. 4C shows a sleep stage determined from a result such as an electroencephalogram. Note that the symbol on the vertical axis in FIG.
R indicates REM sleep, and numbers 1 to 4 indicate the sleep depth of non-REM sleep.
【００５９】図中Ａは覚醒から入眠して睡眠深度１と判
定されたが、５分後にまた覚醒と判定された部分であ
り、Ｂは覚醒から入眠して睡眠深度１から徐々に４まで
進み深いノンレム睡眠に入った部分である。ここで図４
（ａ）の心拍数の変化を見ると、Ａでは睡眠深度１と判
定されるとともに心拍数が急速に低下し、５分後に再度
覚醒と判定されると心拍数が再び上昇してＡの覚醒時の
水準に戻っている。一方、Ｂでは入眠と同時に心拍数が
低下するが、睡眠深度が１から４になっても入眠直後の
心拍数が低下した後の心拍数の低い水準を維持してい
る。このように入眠時の心拍数は覚醒から入眠に移行す
るときに急激に低下し、入眠状態から覚醒に戻ると急速
に元のレベルに上昇する。In the figure, A is a participant who has fallen asleep from awakening and has been determined to have a sleep depth of 1; This is the part that has entered deep non-REM sleep. Here, FIG.
Looking at the change in the heart rate in (a), in A, it is determined that the sleep depth is 1 and the heart rate rapidly decreases, and when it is determined that the user is awake again after 5 minutes, the heart rate increases again and the awakening of A It is back to the level of time. On the other hand, in B, the heart rate decreases at the same time as falling asleep. However, even when the sleep depth changes from 1 to 4, the heart rate immediately after falling asleep is maintained at a low level after the heart rate decreases. As described above, the heart rate at the time of falling asleep suddenly decreases when awakening to sleep, and rapidly rises to the original level when the sleep state returns to awake.
【００６０】また、図４（ｂ）を見ると、粗体動はＡの
前とＢのあと睡眠深度が４からＲに変化したときに発生
しており、入眠前後には粗体動の発生は見られない。こ
れは、粗体動が入眠前後ではあまり発生せず、また、入
眠直後には睡眠深度４の深いノンレム睡眠が発現しやす
く睡眠深度が深くなると粗体動の発生はほとんどなくな
ることから、入眠直後は長時間にわたって粗体動が発生
しないことが多い。Referring to FIG. 4B, coarse body motion occurs when the sleep depth changes from 4 to R before A and after B, and the occurrence of coarse body motion occurs before and after falling asleep. Is not seen. This is because coarse body motion does not occur much before and after falling asleep, and immediately after falling asleep, non-REM sleep with a deep sleep depth of 4 is likely to occur, and when the sleep depth is deep, almost no coarse body movement occurs, so immediately after falling asleep In many cases, coarse body motion does not occur for a long time.
【００６１】そこで、本実施例では、（１）粗体動検出
手段６の出力から粗体動の発生がＴ３時間以上発生しな
い場合で、かつ、（２）その間に心拍数がＣ１以上低下
したことを検出し、（３）心拍数低下を検出後Ｔ４時間
以上低下した水準を維持している場合に、敷布団１上の
人体が入眠したと判定し、心拍数がＣ１以上低下した時
点を持って入眠時刻としている。Therefore, in the present embodiment, (1) the case where the occurrence of the coarse movement does not occur for more than T3 hours from the output of the coarse movement detecting means 6 and (2) the heart rate decreases by C1 or more during that time. (3) If the heart rate decreases and the level of T4 hours or less has been maintained after detecting the decrease in heart rate, it is determined that the human body on the mattress 1 has fallen asleep, and the time when the heart rate has decreased by C1 or more is determined. Sleep onset time.
【００６２】なお、入眠時の心拍数の変化は個人差があ
ることがわかっているが、われわれの実験では覚醒から
入眠または入眠から覚醒の変化のどちらかは明確に出る
ことが多いので心拍数の変化が長時間ない場合は覚醒が
続いているかまたは入眠して睡眠状態になったかどちら
かであると考えられる。どちらの状態であるかは粗体動
の有無で判断できる。したがって、入眠時の心拍数変化
が少なく上記のうち（２）の心拍数の低下が検出できな
い場合でも（１）と（３）から心拍数と粗体動とから確
実に入眠を検出できる。ただし、この場合は入眠時刻は
明確にならないので、入眠検出後、最後に体動が発生し
た時点からあらかじめ決められた一定時間Ｔ４後に入眠
したとしている。なお、本実施例ではＴ４は１５分とし
て設定している。Although it is known that the change in heart rate during falling asleep varies from individual to individual, in our experiments, either the change from awake to asleep or the change from asleep to awake often comes out clearly, so the heart rate is changed. If there is no change for a long time, it is considered that either awakening has continued or the subject has fallen asleep and has entered a sleep state. Which state is being determined can be determined by the presence or absence of coarse movement. Therefore, even if the heart rate change during falling asleep is small and the decrease in the heart rate in (2) above cannot be detected, the falling asleep can be reliably detected from the heart rate and the coarse body movement from (1) and (3). However, in this case, since the time of falling asleep is not clear, it is assumed that after falling asleep, the user falls asleep a predetermined time T4 after the last time a body motion occurred. In this embodiment, T4 is set to 15 minutes.
【００６３】粗体動発生回数算出手段７では、人体検出
手段５の出力が人体が存在していることを検出している
場合にその時点から３０分前までに発生した粗体動の回
数をカウントしている。これは、睡眠中の粗体動の発生
間隔が長いときで３０分以上となる場合があり、これは
深いノンレム睡眠になっている場合に多くなるが、この
ような場合でもカウントの出力を極力ゼロとしないよう
にして出力の振り幅を大きくし周期性を明確にするため
である。When the output of the human body detecting means 5 detects that a human body is present, the number of occurrences of the coarse body motion is calculated by the coarse body motion occurrence calculating means 7. Counting. This may be 30 minutes or more when the interval between occurrences of coarse body movements during sleep is long, and this is more likely to occur when the patient is in deep non-REM sleep. This is because the amplitude of the output is increased so as not to be zero and the periodicity is clarified.
【００６４】図５に粗体動発生回数算出手段７において
カウントする時間を変化させた場合の出力を示す。図５
（ａ）は粗体動検出手段６が検出した粗体動、図５
（ｂ）はカウントする時間が１５分間の場合、図５
（ｃ）は３０分間の場合、図５（ｄ）は４５分間の場合
である。図５（ｂ）で散見される粗体動回数０の平坦な
部分が図５（ｃ）（ｄ）と時間が延びるに連れて徐々に
なくなり、図５（ｄ）では平坦な部分は存在しなくなる
が、平坦な部分がなくなっていくと同時に長周期の波も
明確になっていることがわかる。図５は一例ではある
が、これまでのわれわれの検討結果から３０分間以上体
動回数をカウントすることが望ましいと思われる。これ
により間欠的に発生する体動出力を効率よくアナログデ
ータに変換できる。ただし、睡眠の周期は一般に約１時
間３０分であるので、カウントする時間は１時間３０分
よりも十分短いことが必要である。FIG. 5 shows an output when the time counted by the coarse motion occurrence frequency calculating means 7 is changed. FIG.
(A) is a coarse motion detected by the coarse motion detection means 6, FIG.
FIG. 5B shows the case where the counting time is 15 minutes.
FIG. 5C shows the case of 30 minutes, and FIG. 5D shows the case of 45 minutes. 5 (b) gradually disappears as time elapses with respect to FIGS. 5 (c) and 5 (d), and the flat portion exists in FIG. 5 (d). It can be seen that the long-period wave is clear at the same time as the flat part disappears. FIG. 5 is an example, but it is considered that it is desirable to count the number of body movements for 30 minutes or more based on the results of our studies so far. Thus, the intermittently generated body motion output can be efficiently converted to analog data. However, since the sleep cycle is generally about one hour and thirty minutes, the counting time needs to be sufficiently shorter than one hour and thirty minutes.
【００６５】このように粗体動発生回数算出手段７が粗
体動の長周期の変動を取り出し、さらに粗体動発生回数
変動算出手段８が睡眠周期に相当する１時間から２時間
の周期の変動を検出して睡眠周期検出手段１２に出力し
ている。なお、粗体動発生回数変動算出手段の出力も、
睡眠周期と相関するものであり、これのみでも睡眠周期
の概略を知ることができる。As described above, the rough movement occurrence frequency calculating means 7 extracts the long-period fluctuation of the rough movement, and the coarse movement occurrence frequency fluctuation calculating means 8 obtains the one-hour to two-hour period corresponding to the sleep cycle. The change is detected and output to the sleep cycle detecting means 12. In addition, the output of the coarse movement occurrence frequency variation calculation means is also:
It is correlated with the sleep cycle, and it is possible to know the outline of the sleep cycle alone.
【００６６】睡眠周期検出手段１２は、入眠検出手段１
１により人体の入眠が検出された後人体検出手段により
離床したと判定されるまでの間の粗体動発生回数変動算
出手段８と心拍数変動算出手段１０の出力とから睡眠周
期を算出する。この算出の概念図６を用いて説明する。The sleep cycle detecting means 12 includes the sleep detecting means 1
The sleep cycle is calculated from the outputs of the coarse body motion occurrence frequency fluctuation calculating means 8 and the heart rate fluctuation calculating means 10 until the human body detecting means determines that the human body has left the bed after the sleep detection of the human body is detected by 1. This calculation will be described with reference to FIG.
【００６７】図６（ａ）は粗体動発生回数変動算出手段
８の出力、（ｂ）は心拍数変動算出手段１０の出力、
（ｃ）は本実施例の睡眠周期検出手段１２が検出した睡
眠周期、（ｄ）は脳波等による睡眠深度の判定結果であ
る。なお、図中、Ｗは覚醒、Ｒはレム睡眠、数字はノン
レム睡眠の睡眠深度、ＮＲ１２は睡眠深度１または２に
相当する浅いノンレム睡眠、ＮＲ３４は睡眠深度３また
は４に相当する深いノンレム睡眠をあらわす。FIG. 6A shows the output of the rough movement occurrence frequency fluctuation calculating means 8, FIG. 6B shows the output of the heart rate fluctuation calculating means 10,
(C) shows the sleep cycle detected by the sleep cycle detecting means 12 of the present embodiment, and (d) shows the result of sleep depth determination based on brain waves and the like. In the figure, W is awake, R is REM sleep, numbers are sleep depths of non-REM sleep, NR12 is light non-REM sleep equivalent to sleep depth 1 or 2, and NR34 is deep non-REM sleep equivalent to sleep depth 3 or 4. It represents.
【００６８】まず、粗体動発生回数変動算出手段８の出
力と心拍数変動算出手段１０の出力とから、深いノンレ
ム睡眠に相当すると考えられる領域を抽出する。睡眠深
度３または４の深いノンレム睡眠の場合、一定時間中の
粗体動発生回数が多く、かつ、心拍数の変動が少ないと
いう特徴があり、また、主として入眠から３時間以内に
発生するので、深いノンレム睡眠の検出は（１）粗体動
発生回数変動算出手段の出力がＭ１以下、（２）心拍数
変動算出手段１０の出力がＣ２以下、（３）入眠検出手
段１１が入眠を検出後３時間以内に発生、の３つの条件
をともに満たす場合を睡眠深度３または４の深いノンレ
ム睡眠であると判定する。First, an area that is considered to correspond to deep non-REM sleep is extracted from the output of the coarse movement occurrence frequency fluctuation calculating means 8 and the output of the heart rate fluctuation calculating means 10. In the case of deep non-REM sleep with a sleep depth of 3 or 4, the number of occurrences of coarse movement during a certain period of time is large, and there is a characteristic that the fluctuation of the heart rate is small, and since it mainly occurs within 3 hours after falling asleep, The detection of deep non-REM sleep is as follows: (1) the output of the coarse movement occurrence frequency variation calculation means is M1 or less, (2) the output of the heart rate variation calculation means 10 is C2 or less, and (3) the sleep detection means 11 detects the falling asleep. A case where both of the three conditions of occurrence within 3 hours are satisfied is determined to be deep non-REM sleep with a sleep depth of 3 or 4.
【００６９】次にレム睡眠の検出を行う。ここでは、レ
ム睡眠では心拍数の変動がノンレム睡眠時より大きくな
ることと一定時間中の粗体動発生回数が多くなることを
利用し、心拍数の変動から心拍数変動の大きな部分を抽
出し、その部分の粗体動発生回数が閾値より大きい場合
にレム睡眠を検出している。また、レム睡眠は入眠後３
時間程度は出現時間が短かく、明確に心拍数変動として
出現しない場合があるので、入眠後３時間以降にレム睡
眠の検出をするのが望ましい。従って、ここでは、
（１）心拍数変動算出手段１０の出力がＣ３以上、
（２）粗体動発生回数変動算出手段の出力がＭ２以上、
（３）入眠検出手段１１が入眠を検出後３時間以降に発
生、の３つの条件をともに満たす場合にレム睡眠である
と判定している。Next, REM sleep is detected. Here, we use the fact that heart rate variability in REM sleep is larger than in non-REM sleep and that the number of occurrences of coarse motion during a certain period of time increases, and extract a large part of heart rate variability from heart rate variability. If the number of occurrences of the rough movement in that part is larger than the threshold, REM sleep is detected. In addition, REM sleep is 3 after falling asleep.
Since the appearance time is short in about the time and it may not clearly appear as heart rate fluctuation, it is desirable to detect REM sleep after 3 hours after falling asleep. Therefore, here
(1) The output of the heart rate variability calculation means 10 is C3 or more,
(2) the output of the coarse movement occurrence frequency variation calculating means is M2 or more;
(3) It is determined that the subject is REM sleep when all of the three conditions, that is, three hours or more after the onset of sleep detection by the sleep detection unit 11 are satisfied, are satisfied.
【００７０】なお、ここでは、心拍数変動算出手段１０
の出力から１時間から２時間の周期の信号をフィルタに
よりろ波して取り出すことによりレム睡眠の周期に相当
する変動を抽出したのちに上記のレム睡眠の検出を行っ
ている。この変動のみでも、睡眠周期の特徴を反映する
ものであり、睡眠周期の簡単な指標として用いることも
可能である。Here, the heart rate fluctuation calculating means 10
After extracting a signal corresponding to the cycle of REM sleep by extracting a signal having a cycle of 1 to 2 hours from the output of the filter by a filter and extracting the same, the above-described detection of REM sleep is performed. Even this variation alone reflects the characteristics of the sleep cycle, and can be used as a simple index of the sleep cycle.
【００７１】このように抽出された入眠から３時間以内
の深いノンレム睡眠の部分と入眠から３時間以降のレム
睡眠の部分を一体化することにより図６（ｃ）のように
睡眠周期を求めることができる。これを図６（ｄ）の脳
波等による睡眠深度判定と比較すると細かい点に違いは
あるが、概略は適合していることがわかる。The sleep cycle as shown in FIG. 6C is obtained by integrating the extracted non-REM sleep portion within 3 hours after falling asleep and the REM sleep portion after 3 hours after falling asleep. Can be. When this is compared with the sleep depth determination based on the electroencephalogram or the like in FIG. 6D, there is a difference in the details, but it is understood that the outline is suitable.
【００７２】なお、この変動を評価して睡眠周期として
正しいか否かを判定してもよい。たとえば、（１）得ら
れた睡眠周期が１．５時間から２時間の規則正しい周期
で繰り返されているか、（２）粗体動発生回数変動と相
関しているか（３）心拍数変動周期と相関しているかの
３点に基づいて判定できる。（１）では睡眠周期を周波
数分析し、パワースペクトル密度を用い周期が１．５時
間から２時間に相当する周波数帯のピークがあらかじめ
決められた閾値Ｐ１と比較してＰ１以上の場合に１．５
時間から２時間の規則正しい周期で繰り返されていると
判定できる。また、（２）、（３）についてはそれぞれ
の波形と相互相関を算出し、相互相関係数の値があらか
じめ決められた閾値Ｒ１、Ｒ２以上の場合に相関がある
とそれぞれ判定できる。なお、この判定ですべてが正し
くないと判明したときは再度各閾値を変更して睡眠周期
の算出をやり直すことも可能である。これにより正確な
睡眠周期の検出を実現できる。Note that this variation may be evaluated to determine whether or not the sleep cycle is correct. For example, (1) whether the obtained sleep cycle is repeated at a regular cycle of 1.5 hours to 2 hours, (2) whether it correlates with the fluctuation of the number of occurrences of coarse body motion, and (3) correlation with the heart rate fluctuation cycle It can be determined based on the three points of whether or not they are doing. In (1), the sleep cycle is frequency-analyzed, and using the power spectrum density, if the peak of the frequency band corresponding to the cycle of 1.5 hours to 2 hours is equal to or greater than P1 as compared with a predetermined threshold P1, 1. 5
It can be determined that it is repeated at a regular cycle of 2 hours from time. For (2) and (3), the respective waveforms and the cross-correlation are calculated, and when the value of the cross-correlation coefficient is equal to or larger than predetermined thresholds R1 and R2, it can be determined that there is a correlation. In addition, when it is determined that all are not correct in this determination, it is possible to change each threshold value again and calculate the sleep cycle again. Thereby, accurate detection of the sleep cycle can be realized.
【００７３】また、粗体動発生回数変動算出手段の変動
波形と心拍数変動算出手段の変動波形を組み合わせてよ
り正確な睡眠周期を求めることもできる。粗体動発生回
数変動算出手段の出力では睡眠前半のノンレム睡眠の特
徴が明確になるが後半の睡眠周期が不安定となり、心拍
数変動算出手段の出力では、逆にレム睡眠の影響で前半
より広範の方が明確な変動が現れやすいので、両者の長
所を有効に活用してより正確な睡眠周期の概略を得るこ
とができる。Further, a more accurate sleep cycle can be obtained by combining the fluctuation waveform of the coarse body motion occurrence frequency fluctuation calculating means and the fluctuation waveform of the heart rate fluctuation calculating means. The characteristics of non-REM sleep in the first half of sleep become clear in the output of the coarse movement occurrence frequency fluctuation calculation means, but the sleep cycle in the latter half becomes unstable, and in the output of the heart rate fluctuation calculation means, conversely, the influence of REM sleep causes Since a clear variation is more likely to appear in a wide range, it is possible to obtain a more accurate outline of the sleep cycle by effectively utilizing the advantages of both.
【００７４】このように本実施例の睡眠周期検出装置
は、睡眠周期と相関がある粗体動または心拍数変動の発
生周期を求めてどちらか単独または両者を組み合わせて
睡眠周期を検出するので、睡眠周期の概略を簡単に検出
できる。As described above, the sleep cycle detecting apparatus according to the present embodiment obtains the occurrence cycle of the gross body movement or the heart rate fluctuation which is correlated with the sleep cycle, and detects the sleep cycle by using either alone or a combination of both. The outline of the sleep cycle can be easily detected.
【００７５】また、本実施例の睡眠周期検出装置は、粗
体動と心拍数から入眠時、深いノンレム睡眠、および、
レム睡眠の特徴を用いてそれぞれの睡眠段階を検出でき
るので正確な睡眠周期を求めることができる。Further, the sleep cycle detecting apparatus according to the present embodiment is capable of detecting a sleep, a deep non-REM sleep,
Since each sleep stage can be detected using the characteristics of REM sleep, an accurate sleep cycle can be obtained.
【００７６】また、本実施例の睡眠周期検出装置は、一
般に１時間半程度と言われる睡眠周期に相当する変動を
検出して睡眠周期とするので、睡眠周期と同期する変動
を確実に検出できる。In addition, the sleep cycle detecting device of the present embodiment detects a change corresponding to a sleep cycle generally called about one and a half hours and sets it as a sleep cycle, so that a change synchronized with the sleep cycle can be reliably detected. .
【００７７】なお、本実施例では生体の支持手段として
敷布団を用いているが、ベッドや座席に使用するもので
もよい。In this embodiment, a mattress is used as a means for supporting a living body, but it may be used for a bed or a seat.
【００７８】また、本実施例では信号処理手段は増幅手
段とフィルターとからなっているが、増幅手段は生体信
号検出手段の感度がよく出力が十分取れる場合は必ずし
も必要ではなく、フィルターも不要な信号成分の大きさ
が生体信号より十分小さい場合は不要にできる。In this embodiment, the signal processing means comprises an amplifying means and a filter. However, the amplifying means is not always necessary when the sensitivity of the biological signal detecting means is high and sufficient output can be obtained, and no filter is required. If the magnitude of the signal component is sufficiently smaller than the biological signal, it can be made unnecessary.
【００７９】また、本実施例では、判定手段においてＶ
１、Ｔ１など時間や検出値などをあらかじめ決められた
閾値と比較して睡眠周期や敷布団上での在／不在を判定
しているが、これらの閾値は実際に多数の人で出力を確
認しこれらのデータから統計的に求めた最適値を使用し
ている。なお、この閾値は一定値を用いてもよいが、心
拍数や粗体動の検出を行ないながら都度変更させるもの
でももちろんよい。Further, in this embodiment, V
The sleep cycle and the presence / absence on the mattress are determined by comparing time, detection value, etc. such as 1, T1, etc. with a predetermined threshold value, but these threshold values are actually checked by many people. The optimal value statistically determined from these data is used. The threshold value may be a constant value, but may be changed each time while detecting the heart rate or the coarse movement.
【００８０】また、本実施例では、一つの振動センサを
用いて敷布団上の人体の粗体動と心拍数を検出している
が、それぞれ別の専用の検出手段を用いる構成でもよ
い。また、心拍数のみでなく呼吸数も求め、睡眠周期の
検出に用いることも可能である。Further, in this embodiment, one vibration sensor is used to detect the coarse movement and the heart rate of the human body on the mattress. However, it is also possible to use different dedicated detection means. It is also possible to determine not only the heart rate but also the respiratory rate and use it for detecting the sleep cycle.
【００８１】また、本実施例では振動センサを用いて粗
体動と心拍数の検出を行なっているがたとえばレーザー
変異計などにより非接触で体の動きといった粗体動や、
呼吸、心拍活動に起因する人体の腹部の上下動を検出す
るものや、ｃｃｄカメラなどを用い非接触で布団上の人
体の呼吸や心拍活動に起因する微妙な変化や体の大きな
動きを検出するものを用いてもよい。In this embodiment, the body motion and the heart rate are detected by using the vibration sensor.
Detects vertical movements of the abdomen of the human body caused by breathing and heart rate activities, and detects subtle changes and large movements of the body caused by the breathing and heart rate activities of the human body on a futon without contact using a ccd camera A thing may be used.
【００８２】また、本実施例では振動センサを敷布団の
下に敷いているが、振動センサの下に更にスポンジ等の
クッションなどを配置すると振動に対する出力を大きく
できる。特にＰＶＤＦ（ポリ弗化ビリニデン）など可と
う性の圧電素子を振動センサとして用いる場合は有効で
ある。In this embodiment, the vibration sensor is laid under the mattress. However, if a cushion such as a sponge is further provided under the vibration sensor, the output for vibration can be increased. In particular, it is effective when a flexible piezoelectric element such as PVDF (polyvinylidene fluoride) is used as a vibration sensor.
【００８３】また、本実施例では、深いノンレム睡眠の
検出を入眠から３時間以内に限って行なっているが、深
いノンレム睡眠の出現が入眠後３時間以内に多く見られ
るという一般的な所見からこの数値を設定している。し
かし、入眠後３時間以降でも出現することはあり、従っ
てこの検出を必ずしも３時間以内に限定する必要はな
い。また、同様に、レム睡眠の検出を入眠後３時間以降
に限っているが、こちらも必ずしも３時間以降に限定す
る必要はない。さらに、本実施例では、深いノンレム睡
眠の検出とレム睡眠の検出の時間領域は重複してないが
両者の検出領域が重なってもまったくかまわない。Further, in this embodiment, the detection of deep non-REM sleep is performed only within 3 hours after falling asleep, but from the general observation that the appearance of deep non-REM sleep is frequently observed within 3 hours after falling asleep. This number is set. However, it may appear even after 3 hours after falling asleep, so that this detection need not necessarily be limited to within 3 hours. Similarly, the detection of REM sleep is limited to three hours after falling asleep, but this need not necessarily be limited to three hours or more. Further, in the present embodiment, the time regions for the detection of the deep non-REM sleep and the detection of the REM sleep do not overlap, but it does not matter if the two detection regions overlap.
【００８４】また、本実施例では、心拍数変動算出手段
は５分間の心拍数から分散を算出して出力しているが、
変動の算出に用いる時間は１分から１０分程度の間であ
ればよく、５分に限定するものではない。また、変動の
算出も分散を用いず標準偏差など変動の大きさを算出で
きる計算方法であればいかなる計算方法を用いてよい。In this embodiment, the heart rate variance calculating means calculates and outputs the variance from the heart rate for 5 minutes.
The time used for calculating the fluctuation may be between about 1 minute and about 10 minutes, and is not limited to 5 minutes. In addition, any calculation method may be used for the calculation of the change, as long as the calculation method can calculate the magnitude of the change such as the standard deviation without using the variance.
【００８５】また、本実施例では、体動発生回数算出手
段の出力や心拍数変動算出手段の出力から１時間から２
時間周期の変動成分を取り出して睡眠周期検出に用いて
いるが、これは、睡眠周期が一般に１時間半程度の周期
をもって変動し、しかも個人によりまたその時々の状態
によって変化するため、１時間から２時間までの周期の
変動を検出できればこのような状態の変化にも十分に対
応できるからである。しかし、必ずしも１時間から２時
間の変動成分をすべて取り出す必要はないし、体動発生
回数算出手段の出力や心拍数変動算出手段の出力を単に
移動平均するなどしてノイズ成分を除去したものでも十
分に睡眠周期検出に利用できる。In this embodiment, the output from the body motion occurrence frequency calculating means and the output from the heart rate variability calculating means are calculated from one hour to two hours.
The fluctuation component of the time cycle is taken out and used for the detection of the sleep cycle. This is because the sleep cycle generally fluctuates with a cycle of about one and a half hours, and varies depending on the individual and the state of each time. This is because if a change in the cycle up to two hours can be detected, such a change in the state can be sufficiently coped with. However, it is not always necessary to extract all the fluctuation components from one hour to two hours, and it is sufficient to simply remove the noise component by simply performing a moving average of the output of the body motion occurrence frequency calculation means or the output of the heart rate fluctuation calculation means. Can be used for sleep cycle detection.
【００８６】上記の実施例に述べたように、本発明の睡
眠周期検出装置は脳波や筋電図、眼球電図を採取するこ
となく人体の睡眠周期を検出できる。これを用いること
により、不眠症患者の睡眠状態の把握や、不眠を訴える
人の実際の睡眠状況の把握が簡単に行なえる。また、睡
眠周期や睡眠の時間帯からサーカディアンリズムなどの
人に固有の生活リズムを割り出すことも可能であり、生
活リズムが乱れがちな若者や高齢者に対する適切な生活
の指導や活力ある生活の実現等に大いに役立てることが
できる。As described in the above embodiment, the sleep cycle detecting apparatus of the present invention can detect the sleep cycle of the human body without collecting electroencephalograms, electromyograms, and electro-oculograms. By using this, it is possible to easily grasp the sleep state of the insomnia patient and the actual sleep state of the person who complains of insomnia. In addition, it is also possible to determine a person's own life rhythm such as circadian rhythm from the sleep cycle and the time of sleep, and to provide appropriate life guidance and vibrant life to young people and elderly people whose life rhythm tends to be disordered Etc. can be greatly useful.
【００８７】[0087]
【発明の効果】以上、実施例で説明したように本発明に
よれば、脳波や筋電図、眼球電図を採取することなく人
体の睡眠周期を検出できる。これを用いることにより、
不眠症患者の睡眠状態の把握や、不眠を訴える人の実際
の睡眠状況の把握が簡単に行なえる。As described above, according to the present invention, the sleep cycle of the human body can be detected without collecting electroencephalograms, electromyograms, and electro-oculograms. By using this,
It is easy to grasp the sleep state of an insomnia patient and the actual sleep state of a person who complains of insomnia.
【図１】本発明の実施例１における睡眠周期検出装置の
ブロック図FIG. 1 is a block diagram of a sleep cycle detection device according to a first embodiment of the present invention.
【図２】同装置の振幅算出手段の出力図FIG. 2 is an output diagram of an amplitude calculating unit of the apparatus.
【図３】同装置の人体検出手段の人体検出アルゴリズム
のフローチャートFIG. 3 is a flowchart of a human body detection algorithm of a human body detection unit of the apparatus.
【図４】（ａ）同装置の入眠検出時の心拍数検出手段の
出力図 （ｂ）同装置の入眠検出時の粗体動検出手段の出力図 （ｃ）入眠検出時の脳波等を用いて検出した睡眠段階図FIG. 4 (a) is an output diagram of a heart rate detecting unit when the device detects a falling asleep. (B) An output diagram of coarse movement detecting device when the device detects a falling asleep. Sleep stage diagram detected
【図５】（ａ）同装置の粗体動検出手段の出力図 （ｂ）同装置の粗体動発生回数算出手段の出力図 （ｃ）同装置の粗体動発生回数算出手段の出力図 （ｄ）同装置の粗体動発生回数算出手段の出力図5 (a) is an output diagram of a coarse motion detection means of the same device; (b) an output diagram of a coarse motion occurrence frequency calculating device of the same device; (D) Output diagram of the rough motion occurrence count calculating means of the device
【図６】（ａ）同装置の粗体動発生回数変動算出手段の
出力図 （ｂ）同装置の心拍数変動算出手段の出力図 （ｃ）同装置の睡眠周期検出手段の出力図 （ｄ）脳波等を用いて検出した睡眠段階図6 (a) is an output diagram of a coarse body motion occurrence frequency variation calculating unit of the same device; (b) an output diagram of a heart rate variation calculating unit of the same device; and (c) an output diagram of a sleep cycle detecting unit of the same device. ) Sleep stage diagram detected using EEG etc.
５ 人体検出手段 ６ 粗体動検出手段 ７ 粗体動発生回数算出手段 ９ 心拍数検出手段 １０ 心拍数変動算出手段 １１ 入眠検出手段 １２ 睡眠周期検出手段 5 Human body detecting means 6 Coarse body motion detecting means 7 Coarse body motion occurrence frequency calculating means 9 Heart rate detecting means 10 Heart rate fluctuation calculating means 11 Sleep detection means 12 Sleep cycle detecting means
───────────────────────────────────────────────────── フロントページの続き (72)発明者 原 由美子 大阪府門真市大字門真1006番地 松下電器 産業株式会社内 Ｆターム(参考） 4C017 AA02 AA20 AB10 AC03 BC08 BC11 BD10 FF30 4C038 PP05 PQ00 PS00 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Yumiko Hara 1006 Kazuma Kadoma, Osaka Prefecture Matsushita Electric Industrial Co., Ltd. F-term (reference) 4C017 AA02 AA20 AB10 AC03 BC08 BC11 BD10 FF30 4C038 PP05 PQ00 PS00
Claims (17)
動検出手段と、前記粗体動検出手段の検出結果から一定
時間の粗体動発生回数を算出する粗体動発生回数算出手
段と、前記粗体動発生回数算出手段の出力から前記人体
の睡眠周期を検出する睡眠周期検出手段とを備えた睡眠
周期検出装置。1. A rough movement detecting means for detecting a rough movement which is a movement of a human body, and a rough movement occurrence calculating means for calculating a rough movement occurrence number for a predetermined time from a detection result of the rough movement detecting means. And a sleep cycle detecting means for detecting a sleep cycle of the human body from the output of the rough motion occurrence count calculating means.
と、前記心拍数検出手段の検出結果から心拍数の変動を
算出する心拍数変動算出手段と、前記心拍数変動算出手
段の出力から前記人体の睡眠周期を検出する睡眠周期検
出手段とを備えた睡眠周期検出装置。2. A heart rate detecting means for detecting a heart rate of a human body, a heart rate fluctuation calculating means for calculating a heart rate fluctuation from a detection result of the heart rate detecting means, and an output of the heart rate fluctuation calculating means. A sleep cycle detection device comprising: a sleep cycle detection unit that detects a sleep cycle of the human body.
動検出手段と、前記人体の心拍数を検出する心拍数検出
手段と、前記粗体動検出手段の検出結果と前記心拍数検
出手段の検出結果とから前記人体の睡眠周期を検出する
睡眠周期検出手段とを備え、前記睡眠周期検出手段は、
前記心拍数検出手段の検出結果と前記粗体動検出手段の
検出結果とから前記人体の入眠を検出する入眠検出手段
を備える睡眠周期検出装置。3. A rough movement detecting means for detecting a rough movement which is a movement of a human body, a heart rate detecting means for detecting a heart rate of the human body, a detection result of the rough movement detecting means and the heart rate. Sleep cycle detection means for detecting the sleep cycle of the human body from the detection result of the detection means, the sleep cycle detection means,
A sleep cycle detection device comprising sleep detection means for detecting sleep of the human body based on the detection result of the heart rate detection means and the detection result of the coarse movement detection means.
した心拍数の変化があらかじめ決められた閾値以下であ
り、かつ、粗体動検出手段が粗体動を検出しない状態を
検出し、この状態があらかじめ決められた時間以上連続
した場合に、人体が入眠したと判断する請求項３に記載
の睡眠周期検出装置。4. The falling asleep detection means detects a state in which a change in the heart rate detected by the heart rate detection means is equal to or less than a predetermined threshold value and the rough movement detection means does not detect the rough movement, The sleep cycle detecting device according to claim 3, wherein it is determined that the human body falls asleep when this state continues for a predetermined time or more.
した心拍数の変化があらかじめ決められた閾値以下であ
り、かつ、粗体動検出手段が粗体動を検出しない状態を
検出し、この状態があらかじめ決められた時間以上連続
した場合に、心拍数の変化があらかじめ決められた閾値
以下になった時点、または、入眠検出の直前に粗体動が
発生した時点から一定時間後の時点のうち、どちらか後
の時点を持って入眠時刻とする請求項３に記載の睡眠周
期検出装置。5. The sleep detection means detects a state in which the change in the heart rate detected by the heart rate detection means is equal to or less than a predetermined threshold value and the coarse movement detection means does not detect the coarse movement. When this state continues for a predetermined time or more, when the change in heart rate falls below a predetermined threshold value, or when a certain amount of time has passed since the time when rough body motion occurred immediately before falling asleep detection 4. The sleep cycle detection device according to claim 3, wherein the sleep onset time is set at a later time.
動検出手段と、前記人体の心拍数を検出する心拍数検出
手段と、前記粗体動検出手段の検出結果と前記心拍数検
出手段の検出結果とから前記人体の睡眠周期を検出する
睡眠周期検出手段とを備え、前記睡眠周期検出手段は、
前記粗体動検出手段の検出結果が一定時間粗体動を検出
しないかまたは一定時間中の粗体動の回数があらかじめ
決められた閾値以下であり、かつ、前記心拍数検出手段
の検出結果の変動があらかじめ決められた閾値以下のと
き深いノンレム睡眠と判断する睡眠周期検出装置。6. A rough movement detecting means for detecting a rough movement which is a movement of a human body, a heart rate detecting means for detecting a heart rate of the human body, a detection result of the rough movement detecting means and the heart rate. Sleep cycle detection means for detecting the sleep cycle of the human body from the detection result of the detection means, the sleep cycle detection means,
The detection result of the coarse movement detecting means does not detect the coarse movement for a predetermined time or the number of times of the coarse movement during a predetermined time is equal to or less than a predetermined threshold, and the detection result of the heart rate detecting means is A sleep cycle detecting device that determines that the sleep is deep non-REM sleep when the fluctuation is equal to or less than a predetermined threshold.
動検出手段と、前記人体の心拍数を検出する心拍数検出
手段と、前記粗体動検出手段の検出結果と前記心拍数検
出手段の検出結果とから前記人体の睡眠周期を検出する
睡眠周期検出手段とを備え、前記睡眠周期検出手段は、
前記粗体動検出手段の検出結果における一定時間中の粗
体動の発生回数があらかじめ決められた閾値以上であ
り、かつ、前記心拍数検出手段の検出結果の変動があら
かじめ決められた閾値以上のときレム睡眠と判断する睡
眠周期検出装置。7. A rough movement detecting means for detecting a rough movement which is a movement of a human body, a heart rate detecting means for detecting a heart rate of the human body, a detection result of the rough movement detecting means and the heart rate. Sleep cycle detection means for detecting the sleep cycle of the human body from the detection result of the detection means, the sleep cycle detection means,
The number of occurrences of the coarse movement during a predetermined time in the detection result of the coarse movement detection means is equal to or greater than a predetermined threshold, and the variation in the detection result of the heart rate detection means is equal to or greater than a predetermined threshold. A sleep cycle detection device that determines when the subject is REM sleep.
動検出手段と、前記人体の心拍数を検出する心拍数検出
手段と、前記粗体動検出手段の検出結果と前記心拍数検
出手段の検出結果とから前記人体の睡眠周期を検出する
睡眠周期検出手段とを備え、前記睡眠周期検出手段は、
前記粗体動検出手段の検出結果と前記心拍数検出手段の
検出結果とから、前記人体の入眠、深いノンレム睡眠、
レム睡眠のうち少なくとも一つを検出して睡眠周期の検
出に用いる睡眠周期検出装置。8. A rough movement detecting means for detecting a rough movement which is a movement of a human body, a heart rate detecting means for detecting a heart rate of the human body, a detection result of the rough movement detecting means and the heart rate. Sleep cycle detection means for detecting the sleep cycle of the human body from the detection result of the detection means, the sleep cycle detection means,
From the detection result of the coarse body motion detection unit and the detection result of the heart rate detection unit, the human body falls asleep, deep non-REM sleep,
A sleep cycle detection device that detects at least one of REM sleeps and uses the sleep cycle for detection.
段を備えた請求項８記載の睡眠周期検出装置。9. A sleep cycle detecting device according to claim 8, comprising the sleep cycle detecting means according to claim 6.
体動検出手段と、前記粗体動検出手段の検出結果から粗
体動発生回数を算出する粗体動発生回数算出手段と、人
体の心拍数を検出する心拍数検出手段と、前記心拍数検
出手段の検出結果から心拍数の変動を算出する心拍数変
動算出手段と、前記粗体動発生回数算出手段の出力と前
記心拍数変動算出手段の出力から前記人体の睡眠周期を
検出する睡眠周期検出手段とを備えた睡眠周期検出装
置。10. A rough movement detection means for detecting a rough movement which is a movement of a human body, a rough movement occurrence count calculating means for calculating a rough movement occurrence number from a detection result of the rough movement detection means, Heart rate detecting means for detecting a heart rate of a human body; heart rate fluctuation calculating means for calculating a heart rate fluctuation from the detection result of the heart rate detecting means; A sleep cycle detecting device comprising: a sleep cycle detecting means for detecting a sleep cycle of the human body from an output of the variation calculating means.
も３０分以上の粗体動を検出して算出する請求項１また
は１０に記載の睡眠周期検出装置。11. The sleep cycle detecting device according to claim 1, wherein the rough movement occurrence count calculating means detects and calculates the rough movement for at least 30 minutes or more.
算出手段の出力から１時間から２時間周期の変動を検出
して睡眠周期の検出に用いる請求項１、１０、１１のう
ちいずれか１つに記載の睡眠周期検出装置。12. The sleep cycle detecting means according to claim 1, wherein the sleep cycle detecting means detects a fluctuation in a period of one to two hours from the output of the rough movement occurrence frequency calculating means and uses the fluctuation for detecting a sleep cycle. The sleep cycle detection device according to one of the above aspects.
手段の出力から１時間から２時間周期の変動周期を検出
して睡眠周期の算出に用いる請求項２または１０に記載
の睡眠周期検出装置。13. The sleep cycle detection device according to claim 2, wherein the sleep cycle detection means detects a fluctuation cycle of one to two hours from the output of the heart rate variability calculation means and uses the fluctuation cycle for calculating the sleep cycle. .
体動検出手段が粗体動の発生を検出した時点の出力を除
去した上で睡眠周期の検出に用いる請求項３ないし１０
のうちすくなくとも１つに記載の睡眠周期検出装置。14. The method according to claim 3, wherein, of the detection results of the heart rate detecting means, the output at the time when the coarse movement detecting means detects the occurrence of the coarse movement is removed and then used for detecting the sleep cycle.
The sleep cycle detecting device according to at least one of the above.
心拍数検出手段や粗体動検出手段は人体検出手段が人体
を検出している場合にのみ、心拍数検出や粗体動検出を
行なう請求項１ないし１４のうち少なくとも１つに記載
の睡眠周期検出装置。15. A human body detecting means for detecting a human body,
15. The sleep cycle according to at least one of claims 1 to 14, wherein the heart rate detection means and the coarse body motion detection means perform heart rate detection and coarse body motion detection only when the human body detection means detects a human body. Detection device.
備え、前記入眠検出手段が入眠を検出後あらかじめ決め
られらた時間以内に限り深いノンレム睡眠の検出を行な
う請求項８に記載の睡眠周期検出装置。16. The sleep cycle according to claim 8, wherein the sleep cycle detection means includes a sleep onset detection means, and the sleep onset detection means detects deep non-REM sleep only within a predetermined time after detecting sleep onset. Detection device.
備え、前記入眠検出手段が入眠を検出後あらかじめ決め
られらた時間以降に限りレム睡眠の検出を行なう請求項
８に記載の睡眠周期検出装置。17. The sleep cycle detection device according to claim 8, wherein the sleep cycle detection device includes a sleep onset detection device, and detects the REM sleep only after a predetermined time after the sleep onset detection device detects the sleep onset. apparatus.
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| JP2001018145A JP2002219116A (en) | 2001-01-26 | 2001-01-26 | Sleep cycle detector |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2001018145A JP2002219116A (en) | 2001-01-26 | 2001-01-26 | Sleep cycle detector |
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| Publication Number | Publication Date |
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ID=18884203
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