JP2002165799A - Health condition diagnosing method and health condition diagnosing device using its method - Google Patents

Health condition diagnosing method and health condition diagnosing device using its method

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Publication number
JP2002165799A
JP2002165799A JP2000367212A JP2000367212A JP2002165799A JP 2002165799 A JP2002165799 A JP 2002165799A JP 2000367212 A JP2000367212 A JP 2000367212A JP 2000367212 A JP2000367212 A JP 2000367212A JP 2002165799 A JP2002165799 A JP 2002165799A
Authority
JP
Japan
Prior art keywords
subject
health condition
external stimulus
change
walking
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2000367212A
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Japanese (ja)
Other versions
JP4767405B2 (en
Inventor
Noriko Oba
紀子 大場
Toru Watsuji
徹 和辻
Takeshi Ogawa
毅 小河
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Sharp Corp
Original Assignee
Sharp Corp
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Priority to JP2000367212A priority Critical patent/JP4767405B2/en
Publication of JP2002165799A publication Critical patent/JP2002165799A/en
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Abstract

PROBLEM TO BE SOLVED: To provide a diagnosing method which can collect a living organism signal to be necessary to diagnose health condition of a subject expeditiously and obtain a diagnosing result of high precision expeditiously, and also to provide a health condition diagnosing device which can maintain and improve someone's good health and additionally diagnose health condition. SOLUTION: Giving external stimulation to a subject who is practicing exercise, the health condition is diagnosed from both the change of a living organism signal by the external stimulation and the subject's age. The health condition diagnosing device comprises the exercise equipment, the stimulating means which gives the subject the external stimulation, the measuring means which measures the change of a living organism signal of the subject by the external stimulation, the inputting means which enters the subject's age, and the diagnosing means which diagnoses the health condition of the subject from the change of a living organism signal.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は被験者の健康状態を
診断する方法およびその方法を用いた診断装置に関する
ものである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for diagnosing the health condition of a subject and a diagnostic device using the method.

【0002】[0002]

【従来の技術】脈拍や血圧、体温、血糖値、呼吸、筋
電、心電、血流、脳波、発汗量、加速度、振動、傾斜度
といった生体信号を測定・分析して、人の健康状態を診
断することが従来から種々試みられている。例えば特開
平6−217951号公報には、測定した脈波からアト
ラクタを生成し、メモリに記憶されている複数のアトラ
クタパターンとこのアトラクタを比較して、アトラクタ
の形状や構造の類似度から人の健康状態を判断する発明
が開示されている。また特公平6−9546号公報に
は、脈波及び/又は心電波の時系列データからカオスア
トラクタを作成し、さらにカオスアトラクタを演算処理
してリアプノフ指数を求め、心身の異常などを診断する
発明が開示されている。そして特開2000−1668
77号公報には、生体リズム情報を解析して生理機能の
低下、老化を早期に判別する発明が開示されている。
2. Description of the Related Art A person's health condition is measured and analyzed by measuring biological signals such as pulse, blood pressure, body temperature, blood glucose level, respiration, myoelectricity, electrocardiogram, blood flow, brain waves, sweating, acceleration, vibration and inclination. Conventionally, various attempts have been made to diagnose. For example, JP-A-6-217951 discloses that an attractor is generated from a measured pulse wave, a plurality of attractor patterns stored in a memory are compared with the attractor, and a similarity of the shape or structure of the attractor is used to determine a person's shape. An invention for judging a health condition is disclosed. Japanese Patent Publication No. 6-9546 discloses an invention in which a chaos attractor is created from time-series data of a pulse wave and / or a cardiac wave, and a chaos attractor is further processed to obtain a Lyapunov exponent, thereby diagnosing mental and physical abnormalities. Is disclosed. And JP-A-2000-1668
No. 77 discloses an invention in which biological rhythm information is analyzed to determine deterioration of physiology and aging at an early stage.

【0003】[0003]

【発明が解決しようとする課題】これら開示された発明
の診断方法によれば、ある程度有効な診断結果が得られ
るであろうとは推測されるが、診断に必要な生体信号を
収集するのに長時間を要するため迅速な診断ができない
という問題があった。
It is presumed that the diagnostic method of the disclosed invention will provide a somewhat effective diagnostic result, but it is difficult to collect biological signals necessary for the diagnosis. There has been a problem that prompt diagnosis cannot be performed due to the time required.

【0004】また一般に広く使用されていた従来の運動
器具は、歩行運動や自転車運動などを行って人の運動不
足を解消して健康の維持増進を図るものであって、人の
健康状態を診断するようなものではなかった。
[0004] Conventional exercise equipment, which has been widely used, is intended to maintain or improve the health of a person by performing walking exercises, cycling exercises, etc. to eliminate the insufficiency of exercise, and to diagnose a person's health condition. It was not something to do.

【0005】本発明はこのような従来の問題に鑑みてな
されたものであり、被験者の健康状態を診断するのに必
要な生体信号が迅速に収集できると同時に、精度のよい
診断結果が迅速に得られる診断方法を提供することをそ
の目的とするものである。
The present invention has been made in view of such a conventional problem, and a biological signal required for diagnosing a health condition of a subject can be quickly collected, and at the same time, an accurate diagnostic result can be obtained quickly. It is an object of the present invention to provide an obtained diagnostic method.

【0006】また本発明の他の目的は、人の健康の維持
増進を図りさらに健康状態までを診断できる健康状態診
断装置を提供することにある。
It is another object of the present invention to provide a health condition diagnostic apparatus capable of maintaining and improving human health and further diagnosing the state of health.

【0007】[0007]

【課題を解決するための手段】本発明によれば、運動を
行っている被験者に対して外部刺激を与え、この外部刺
激による被験者の生体信号の変化と、被験者の年齢とか
ら被験者の健康状態を診断することを特徴とする健康状
態診断方法が提供される。
According to the present invention, an external stimulus is given to a subject who is exercising, and a change in a biological signal of the subject caused by the external stimulus and the age of the subject are used to determine the health condition of the subject. And a method for diagnosing a health condition, characterized in that:

【0008】ここで、診断の精度を上げる観点から、カ
オス解析を用いて生体信号の変化を解析し健康状態を診
断することが望ましい。
Here, from the viewpoint of improving the accuracy of diagnosis, it is desirable to analyze changes in biological signals using chaos analysis to diagnose a health condition.

【0009】例えば、カオス解析としてカオスアトラク
タ解析を用いて、カオスアトラクタの軌道周期を求め、
その軌道周期の揺らぎをデトレンド変動分析(DFA:
Detrended Fluctuation Analysis)により分析し、揺ら
ぎの大きさを縦軸、ウインドウサイズを横軸として各ウ
インドウサイズに対する揺らぎの大きさを図に表し、外
部刺激を与える前後の傾きの変化量を算出し、予め調査
しておいた傾きの変化量と年齢とを変数とする健康状態
区分から健康状態を診断することができる。
For example, using chaos attractor analysis as chaos analysis, the orbital period of the chaos attractor is obtained,
The fluctuation of the orbital period is analyzed by detrend fluctuation analysis (DFA:
Detrended Fluctuation Analysis), the magnitude of the fluctuation is plotted on the vertical axis and the window size is plotted on the horizontal axis, and the magnitude of the fluctuation for each window size is shown in the figure. A health condition can be diagnosed from a health condition category in which the surveyed change amount of the slope and age are variables.

【0010】診断の際に被験者にかける運動負担を軽減
する観点から、前記運動としては歩行運動が好ましく、
この場合外部刺激としては坂道歩行、階段歩行、歩行速
度変化、音声刺激、映像刺激の少なくとも一つであるの
がよい。
From the viewpoint of reducing the exercise load on the subject at the time of diagnosis, the exercise is preferably a walking exercise,
In this case, the external stimulus is preferably at least one of hill walking, stair walking, walking speed change, voice stimulus, and video stimulus.

【0011】また、場所や天候などを考慮せずに簡便に
行える点で、運動器具を用いて運動を行っている被験者
に対して外部刺激を与えるのが望ましい。さらに診断の
際に被験者にかける運動負担を軽減する観点から、前記
運動器具は歩行運動器具であることが好ましい。この場
合、歩行速度や歩行面傾斜角度を変化させることにより
外部刺激を与えればよい。
It is desirable to apply an external stimulus to a subject who is exercising using an exercise equipment, since the exercise can be easily performed without considering the place or the weather. Further, from the viewpoint of reducing the exercise load on the subject at the time of diagnosis, the exercise equipment is preferably a walking exercise equipment. In this case, an external stimulus may be given by changing the walking speed or the walking surface inclination angle.

【0012】被験者に外部刺激を与える他の方法とし
て、運動器具に映像装置をさらに設け、この映像装置か
らの映像により外部刺激を与えるようにしてもよいし、
運動器具に音声出力装置をさらに設け、この音声出力装
置からの音声により外部刺激を与えるようにしてもよ
い。
As another method of giving an external stimulus to a subject, a video device may be further provided on the exercise equipment, and the external stimulus may be provided by a video from the video device.
The exercise equipment may be further provided with a sound output device, and an external stimulus may be given by sound from the sound output device.

【0013】被験者が携帯する際の重量負担を軽減する
観点および利便性の観点から、被験者の生体信号は加速
度センサ及び振動センサの少なくとも一方により測定す
ることが推奨される。
[0013] From the viewpoint of reducing the weight burden when the subject carries and convenience, it is recommended that the biological signal of the subject is measured by at least one of an acceleration sensor and a vibration sensor.

【0014】また本発明によれば、運動器具部と、被験
者に外部刺激を与える刺激手段と、外部刺激による被験
者の生体信号の変化を測定する測定手段と、被験者の年
齢を入力する入力手段と、生体信号の変化から被験者の
健康状態を診断する診断手段とを備えたことを特徴とす
る健康状態診断装置が提供される。
Further, according to the present invention, the exercise equipment section, stimulating means for applying an external stimulus to the subject, measuring means for measuring a change in the biological signal of the subject due to the external stimulus, and input means for inputting the age of the subject And a diagnostic means for diagnosing the health condition of the subject based on a change in the biological signal.

【0015】[0015]

【発明の実施の形態】本発明者等は、被験者の健康状態
を診断するのに必要な生体信号をいかにして迅速に収集
するか鋭意検討を重ねた結果、被験者が運動を行ってい
るときに外部刺激を与えると、被験者の健康状態に対応
して生体信号が変化し、その変化は年齢と関連している
ことを見出し本発明をなすに至った。
BEST MODE FOR CARRYING OUT THE INVENTION The present inventors have intensively studied how to quickly collect biological signals necessary for diagnosing the health condition of a subject, and as a result, when the subject is exercising. When an external stimulus is applied to the subject, the biological signal changes in accordance with the health condition of the subject, and it has been found that the change is related to age, and the present invention has been accomplished.

【0016】すなわち本発明の健康状態診断方法では、
運動を行っている被験者に外部刺激を与えて、被験者の
生体信号がどのように変化するかを測定して、その生体
信号変化と、被験者の年齢とから健康状態を診断する。
このような診断方法によれば、外部刺激を与えて変化す
る生体信号を測定するだけなのでわずか数分程度の測定
時間で診断が完了する。生体信号の測定装置を被験者に
長期間携帯させて、得られた情報から健康状態を診断し
ていた従来の診断方法に比べれば、本発明の診断方法の
測定時間は格段に短いものである。
That is, in the health condition diagnosis method of the present invention,
An external stimulus is given to the subject who is exercising, how the biological signal of the subject changes is measured, and the health condition is diagnosed from the change in the biological signal and the age of the subject.
According to such a diagnostic method, the diagnostic is completed in a measuring time of only a few minutes because only the changing biological signal is measured by applying an external stimulus. The measurement time of the diagnostic method of the present invention is much shorter than that of a conventional diagnostic method in which a subject is carried a biological signal measuring device for a long period of time and a health condition is diagnosed from obtained information.

【0017】被験者が行う運動としては過激なものであ
る必要はなく、例えば散歩やジョギング、階段の昇降と
いった軽度の運動でよい。本発明の健康状態診断方法の
具体的構成の一例を図1に示す。運動している被験者の
生体信号を測定手段1により測定する。そして被験者に
外部刺激3を与えて、外部刺激3により被験者の生体信
号がどのように変化するかを測定手段1で測定し、その
測定データをデータ処理・解析手段2へ送る。一方、被
験者の年齢を入力手段4から入力し、入力された年齢を
データ処理・解析手段2へ送る。そしてデータ処理・解
析手段2で被験者の健康状態を判断する。
The exercise performed by the subject does not need to be extreme, but may be a mild exercise such as walking, jogging, or going up and down stairs. FIG. 1 shows an example of a specific configuration of the health condition diagnosis method of the present invention. The biological signal of the moving subject is measured by the measuring means 1. Then, an external stimulus 3 is given to the subject, and how the biological signal of the subject changes due to the external stimulus 3 is measured by the measuring means 1, and the measured data is sent to the data processing / analyzing means 2. On the other hand, the age of the subject is input from the input means 4 and the input age is sent to the data processing / analysis means 2. Then, the data processing / analysis means 2 determines the health condition of the subject.

【0018】被検者に与える外部刺激としては特に限定
はなく、どのような刺激であってもよいが、被検者に行
わせる運動が歩行運動の場合には、坂道歩行、階段歩
行、歩行速度変化、音声刺激、映像刺激の少なくとも一
つであるのがよい。また歩行運動器具を用いる場合に
は、歩行速度や歩行面傾斜角度などの変化、あるいは音
声刺激、映像刺激などがよい。
The external stimulus given to the subject is not particularly limited, and may be any type of stimulus. Preferably, it is at least one of a speed change, a voice stimulus, and a video stimulus. When a walking exercise device is used, a change in walking speed, a walking surface inclination angle, or the like, or a voice stimulus, a video stimulus, or the like is preferable.

【0019】本発明で測定する生体信号としては、被験
者の健康状態に関係するものであれば特に限定はなく、
例えば被験者の振動や加速度、心電、血圧、体温、脈
拍、筋電、発汗量、傾斜度などが挙げられ、これらの1
つ又は2つ以上を組み合わせて測定すればよい。これら
の生体信号の測定には、振動センサ、加速度センサ、心
電センサ、血圧センサ、体温センサ、脈拍センサ、筋電
センサ、発汗センサ、傾斜センサなどが使用でき、この
中でも被験者への装着負担が少なく、また小型であるこ
となどから振動センサや加速度センサの使用が望まし
い。なお、これら測定器の装着場所は、被検者に行わせ
る運動や運動器具の種類、測定する生体信号の種類など
から適宜決定すればよい。
The biological signal measured in the present invention is not particularly limited as long as it is related to the health condition of the subject.
For example, the subject's vibration and acceleration, electrocardiogram, blood pressure, body temperature, pulse, myoelectricity, sweating amount, inclination, and the like are listed.
Or a combination of two or more. Vibration sensors, acceleration sensors, electrocardiographic sensors, blood pressure sensors, body temperature sensors, pulse sensors, myoelectric sensors, perspiration sensors, inclination sensors, etc. can be used to measure these biological signals. It is desirable to use a vibration sensor or an acceleration sensor because of its small size and small size. The mounting location of these measuring instruments may be appropriately determined based on the type of exercise or exercise equipment to be performed by the subject, the type of biological signal to be measured, and the like.

【0020】本発明における被験者の健康状態の診断と
しては、外部刺激を与えた直後の被検者の生体信号の変
化から行うこともできるし、外部刺激を与えた後、元の
状態に戻し、外部刺激を与えた前後での被検者の生体信
号の変化から行うこともできる。
The diagnosis of the health condition of the subject in the present invention can be made from the change in the biological signal of the subject immediately after the external stimulus is applied, or after returning to the original state after the external stimulus is applied. It can also be performed from a change in the biological signal of the subject before and after the external stimulus is given.

【0021】ここで行動など生体に関する信号は一般に
非線形データであるため、解析方法としては非線形解析
方法を用いるのがよく、中でも非線形データの解析手法
として広く用いられているカオス解析が最も好適に用い
ることができる。このカオス解析には、フラクタル次元
解析やリアプノフ指数解析、カオスアトラクタ解析など
種々の解析方法があるが、生体信号に関する解析手法と
してはカオスアトラクタ解析が適している。具体的には
得られた生体信号に基づき所望の数空間にカオスアトラ
クタを描き、描いたカオスアトラクタ形状から被験者の
健康状態を診断する。
Here, since signals related to the living body such as behavior are generally nonlinear data, it is preferable to use a nonlinear analysis method as an analysis method. Among them, a chaos analysis widely used as an analysis method for nonlinear data is most preferably used. be able to. The chaos analysis includes various analysis methods such as a fractal dimension analysis, a Lyapunov exponent analysis, and a chaos attractor analysis. The chaos attractor analysis is suitable as an analysis method for a biological signal. Specifically, a chaotic attractor is drawn in a desired number space based on the obtained biological signal, and the health state of the subject is diagnosed from the drawn chaotic attractor shape.

【0022】一方、カオスアトラクタの形状だけからで
は違いが明確にわからない場合がある。このような場合
は、カオスアトラクタの軌道周期をさらに測定し、その
軌道周期の揺らぎから健康状態を解析すればよい。例え
ば、数空間上の特定点を原点として極座標変換を行って
角周期を求め、この角周期を軌道周期とする。そしてこ
の軌道周期の揺らぎの特徴から被験者の健康状態を診断
するのである。図2を用いて説明すると、カオスアトラ
クタの点Oから右方向に水平線Sを引き、この水平線S
を基準線としてアトラクタ軌道が反時計回りに360°
回転して基準線に戻ってくるまでの時間を測定し、この
時間を軌道周期とすればよい。もちろん、軌道周期はア
トラクタ軌道の一部分であってもよく、この場合は基準
となる回転角度を決めておき、アトラクタ軌道がこの角
度を移動する時間を測定すればよい。極座標変換の原点
としては、簡単に算出できることからカオスアトラクタ
構成要素の平均値座標点を用いるのが好ましい。なおア
トラクタ軌道の形状によっては、求めた平均値座標点が
アトラクタ軌道内になることもあるが、このような場合
には平均値座標点近傍のアトラクタ軌道外の点を極座標
変換の原点とすればよい。
On the other hand, there are cases where the difference cannot be clearly understood only from the shape of the chaos attractor. In such a case, the orbital period of the chaos attractor may be further measured, and the health condition may be analyzed from the fluctuation of the orbital period. For example, an angular period is obtained by performing polar coordinate transformation with a specific point in a number space as an origin, and this angular period is defined as an orbital period. Then, the health condition of the subject is diagnosed from the characteristics of the fluctuation of the orbital period. Referring to FIG. 2, a horizontal line S is drawn rightward from a point O of the chaos attractor, and the horizontal line S
Attractor orbit 360 ° counterclockwise with reference to
The time it takes to rotate and return to the reference line may be measured, and this time may be used as the orbital period. Of course, the orbital period may be a part of the attractor trajectory. In this case, the reference rotation angle is determined, and the time during which the attractor trajectory moves through this angle may be measured. As the origin of the polar coordinate conversion, it is preferable to use the average coordinate point of the chaotic attractor component because it can be easily calculated. Depending on the shape of the attractor trajectory, the calculated average coordinate point may be inside the attractor trajectory. Good.

【0023】被験者による歩行の加速度データから2次
元数空間にカオスアトラクタを描いた後、極座標変換し
てカオスアトラクタの軌道周期を測定した結果の一例を
図3に示す。図3(a)は健康時のアトラクタ軌道周
期、同図(b)は体調不良時のアトラクタ軌道周期であ
る。両図のアトラクタ軌道周期の揺らぎを比較してみれ
ば、体調の違いによる歩行データの違いが見いだせる。
FIG. 3 shows an example of the result of drawing a chaotic attractor in a two-dimensional number space from the acceleration data of walking by the subject and then performing polar coordinate transformation to measure the orbital period of the chaotic attractor. FIG. 3A shows the attractor trajectory cycle in a healthy state, and FIG. 3B shows the attractor trajectory cycle in a poor physical condition. By comparing the fluctuation of the attractor trajectory period in both figures, it can be seen that there is a difference in walking data due to a difference in physical condition.

【0024】アトラクタ軌道周期の揺らぎをさらに詳細
に解析する場合には、デトレンド変動解析(DFA:De
trended Fluctuation Analysis)、フーリエ変換などの
周波数変換、ウェーブレット解析、マルチフラクタル解
析などの従来公知の解析方法を用いればよく、この中で
も大きな揺らぎに対しても客観的かつ正確に解析できる
点でDFAが特に好適に用いることができる。
To analyze the fluctuation of the attractor orbital period in more detail, a detrend variation analysis (DFA: De
Conventionally known analysis methods such as frequency conversion such as trended fluid analysis, Fourier transform, wavelet analysis, and multifractal analysis may be used. Among them, DFA is particularly useful in that it can objectively and accurately analyze large fluctuations. It can be suitably used.

【0025】DFAによる分析方法を概説すると、まず
揺らぎの系を所定のウインドウサイズで区切り、各ウイ
ンドウサイズ毎に波形を直線近似する。そしてその直線
近似からをズレの絶対値を積分し、この積分値を揺らぎ
の大きさとする。揺らぎの大きさを縦軸とし、ウインド
ウサイズを横軸として、各ウインドウサイズに対する揺
らぎの大きさをプロットして、その傾きやy切片を状態
の判定・予測の指標とするのである。
An outline of the DFA analysis method is as follows. First, a fluctuation system is divided by a predetermined window size, and a waveform is linearly approximated for each window size. Then, the absolute value of the deviation from the linear approximation is integrated, and this integrated value is used as the magnitude of the fluctuation. The magnitude of the fluctuation is plotted on the vertical axis and the window size is plotted on the horizontal axis, and the magnitude of the fluctuation with respect to each window size is plotted, and its slope or y-intercept is used as an index for state determination / prediction.

【0026】本発明者等による実験よれば、平坦歩行−
坂道歩行−平坦歩行を被験者させたときの、坂道を上る
前後での歩行加速度データの揺らぎの傾き変化量が、そ
のときの被験者の健康状態と密接に関係していることが
突き止められた。坂道を上る前・後の加速度波形を図4
(a),(b)に示し、これら加速度波形からDFAを
用いて求めた歩行間隔の揺らぎを図5に示す。そして年
齢の異なる複数の被験者に対して同様の実験を行い、図
5における2つの直線の傾きの変化量を算出し、傾きの
変化量を縦軸とし、年齢を横軸としてプロットしたもの
を図6に示す。ここで、被験者の実験時の体調を併せて
調査し、体調がよいと申告した被験者のデータを
「◎」、体調は平常と申告した被験者のデータを
「○」、体調が悪いと申告した被験者のデータを「×」
で表示してある。図6から理解されるように、良好、平
常、不良の各健康状態領域は図上で区分けできる。した
がって、歩行加速度などの生体信号の測定結果から前記
揺らぎの傾き変化量を算出すれば、図6において傾き変
化量と年齢からそのときの健康状態が診断できるのであ
る。
According to an experiment by the present inventors, flat walking-
It was found that the slope change amount of the fluctuation of the walking acceleration data before and after climbing the slope when the subject walked on the slope-flat walk was closely related to the health condition of the subject at that time. Fig. 4 shows acceleration waveforms before and after climbing a hill.
FIGS. 5A and 5B show the fluctuation of the walking interval obtained by using the DFA from these acceleration waveforms. A similar experiment was performed on a plurality of subjects of different ages, and the amounts of change in the slopes of the two straight lines in FIG. 5 were calculated. 6 is shown. Here, the subject's physical condition at the time of the experiment was also investigated. "X"
It is indicated by. As can be understood from FIG. 6, the health condition areas of good, normal, and bad can be distinguished on the diagram. Therefore, if the amount of change in the slope of the fluctuation is calculated from the measurement result of the biological signal such as the walking acceleration, the health condition at that time can be diagnosed from the amount of change in the slope and the age in FIG.

【0027】例えば図6において、年齢29歳の人であ
れば、算出した傾き変化量が、ゼロより小さければ「体
調不良」、ゼロ〜0.1であれば「平常」、0.1以上
であれば「体調良好」と診断できる。
For example, in FIG. 6, if the person is 29 years old, the calculated amount of change in inclination is “poor physical condition” if it is smaller than zero, “normal” if it is between 0 and 0.1, and “normal” if it is 0.1 or more. If so, it can be diagnosed as “good physical condition”.

【0028】なお、外部刺激の種類を坂道歩行から階段
歩行に代えても同様の結果が得られる。また検知手段を
加速度センサから振動センサに代えても同様の結果が得
られる。振動センサにより検知された振動波形の一例を
図7に示す。
The same result can be obtained when the type of external stimulus is changed from walking on a hill to walking on a stair. The same result can be obtained even if the detecting means is changed from an acceleration sensor to a vibration sensor. FIG. 7 shows an example of a vibration waveform detected by the vibration sensor.

【0029】また運動器具を用いて被験者に運動を行わ
せれば、より簡便に生体信号を測定することができる。
このような運動器具としては特に限定はなく、従来公知
の運動器具を用いることができ、例えば歩行運動器具
(トレッドミル)、自転車運動器具(エアロバイク)、
階段登り運動器具(エアロクライム)などの運動器具が
挙げられる。この中でも被験者への運動負担や利便性な
どの観点から歩行運動器具を用いることが推奨される。
Further, when the subject exercises using the exercise equipment, the biological signal can be measured more easily.
Such exercise equipment is not particularly limited, and conventionally-known exercise equipment can be used. For example, walking exercise equipment (treadmill), bicycle exercise equipment (exercise bike),
Exercise equipment such as stair climbing exercise equipment (aero climb) may be used. Among them, it is recommended to use a walking exercise device from the viewpoint of exercise load and convenience to the subject.

【0030】運動器具を用いた場合の被験者に与える外
部刺激としては特に限定はなく、例えば運動器具の条件
変化による刺激や映像による刺激、音声による刺激など
が考えられる。前記運動器具の条件変化による刺激とし
ては、運動器具として歩行運動器具を例にとれば、歩行
速度を早くしたり、遅くしたりする刺激、あるいは歩行
面傾斜角度を急にしたり、緩やかにしたりすることによ
る刺激が挙げられる。
The external stimulus applied to the subject when using the exercise equipment is not particularly limited, and may be, for example, a stimulus due to a change in conditions of the exercise equipment, a stimulus based on an image, a stimulus based on a voice, or the like. As the stimulus due to the change in the condition of the exercise equipment, for example, when a walking exercise equipment is used as the exercise equipment, a stimulus to increase or decrease the walking speed, or a steep or inclined walking surface inclination angle, or a gradual decrease. Irritation.

【0031】また映像による刺激は、運動器具の周囲に
映像装置を配設して被験者の視覚を通して与える刺激で
ある。例えば歩行運動器具上を歩いている被験者に対し
て、歩行運動器具の前側に設けたスクリーンあるいは頭
部に装着したディスプレイに歩道を歩いている映像を投
影して、被験者が歩道を歩いている状態を仮想的に創り
出し、そして突然横からクルマが飛び出してくる映像を
投影してこの時の被験者の生体信号の変化を測定するの
である。
The stimulus by the video is a stimulus that is provided through the visual sense of the subject by arranging a video device around the exercise equipment. For example, a subject walking on a sidewalk is projected on a screen provided on the front side of the walking exercise device or a display mounted on the head of the subject walking on the walking exercise device, and the subject is walking on the sidewalk. Is virtually created, and an image in which a car suddenly jumps out from the side is projected to measure a change in the biological signal of the subject at this time.

【0032】音声による刺激は、運動器具の周囲に音声
出力装置を配設して被験者の聴覚を通して与える刺激で
ある。例えばイヤホンにより一定のリズムが与えられて
歩行運動器具上を歩いている被験者に対して、イヤホン
から大きな音など不快な音を突然流して被験者の生体信
号の変化を測定する、あるいは行進曲などのリズミカル
な音楽を数分間聴かせた後で被験者の生体信号の変化を
測定するのである。
The voice stimulus is a stimulus that is provided through a subject's hearing by arranging a voice output device around the exercise equipment. For example, for a subject walking on a walking exercise equipment given a certain rhythm by earphones, suddenly emit an unpleasant sound such as a loud sound from the earphone to measure the change of the subject's biological signal, or After listening to rhythmic music for several minutes, the change in the subject's biological signal is measured.

【0033】次に本発明の健康状態診断装置について説
明する。この診断装置は、運動器具部と、被験者に外部
刺激を与える刺激手段と、外部刺激による被験者の生体
信号の変化を測定する測定手段と、被験者の年齢を入力
する入力手段と、生体信号の変化から被験者の健康状態
を診断する診断手段とを備えた構成を有する。
Next, a health condition diagnostic apparatus according to the present invention will be described. The diagnostic apparatus includes an exercise equipment unit, stimulating means for applying an external stimulus to the subject, measuring means for measuring a change in the biological signal of the subject due to the external stimulus, input means for inputting the age of the subject, and a change in the biological signal. And diagnostic means for diagnosing the health condition of the subject from.

【0034】運動器具としては前記例示した運動器具が
ここでも使用することができる。また刺激手段として
は、前記例示した運動器具の条件制御部、映像装置、音
声出力装置などが挙げられ、さらに測定手段としては、
前記例示した振動センサ、加速度センサ、心電センサ、
血圧センサ、体温センサ、脈拍センサ、筋電センサ、発
汗センサ、傾斜センサなど従来公知の測定器が挙げられ
る。入力手段としては、従来公知のものが使用でき、例
えば数字キーを備えたものが例示できる。そしてまた診
断手段としては、前記説明したカオス解析、さらにはカ
オスアトラクタ解析を用いることができる。
As the exercise equipment, the exercise equipment exemplified above can be used here. Examples of the stimulating unit include the condition control unit of the above-described exercise equipment, a video device, an audio output device, and the like.
The above-described vibration sensor, acceleration sensor, electrocardiographic sensor,
Conventionally known measuring devices such as a blood pressure sensor, a body temperature sensor, a pulse sensor, a myoelectric sensor, a perspiration sensor, and a tilt sensor are exemplified. As the input means, conventionally known means can be used, and for example, a means provided with numeric keys can be exemplified. Further, as the diagnosis means, the chaos analysis described above, and further, the chaos attractor analysis can be used.

【0035】この健康状態診断装置は、運動器具部によ
り通常の運動器具としての役割を果たすのみならず、前
記診断手段などにより被験者の健康状態を診断すること
もできる。したがってこの診断装置では、運動開始時に
被験者の健康状態を診断し、その診断結果に基づきその
日の運動プログラムを決定するというような利用態様も
可能である。
This health condition diagnostic apparatus can not only play a role as a normal exercise device by the exercise device section but also diagnose the health condition of the subject by the diagnostic means or the like. Therefore, this diagnostic apparatus can also be used in such a manner that a health condition of a subject is diagnosed at the start of exercise, and an exercise program for that day is determined based on the diagnosis result.

【0036】本発明の健康状態診断装置の一実施態様を
図8に示す。図8は当該診断装置の概説図である。この
健康状態診断装置は、歩行運動器具(運動器具部)6
と、歩行運動器具6の前側に配置されたスクリーン(刺
激手段)7と、被験者が携帯した加速度センサ(測定手
段)8と、年齢を入力する入力手段5と、診断手段9と
を備える。加速度センサ8を携帯した被験者は、入力手
段5から年齢を入力する。そして、前面のスクリーン7
に映し出される画面を見ながら歩行運動器具6の歩行ベ
ルト61上を歩行する。スクリーンには、散歩している
ときの町や自然の風景が当初は映し出される。そこに突
然クルマや犬が横から飛び出してくるといった映像を映
す。このときの被験者の加速度の乱れを加速度センサ8
で測定し、測定データを診断手段9へ送信する。診断手
段9は、データ処理・解析手段91と、健康状態の診断
手段92と出力手段93とを有し、送信されてきた測定
データに基づき被験者の健康状態を診断する。診断方法
は前記と同様であるのでここでは説明を略する。
FIG. 8 shows one embodiment of the health condition diagnostic apparatus of the present invention. FIG. 8 is a schematic diagram of the diagnostic device. This health condition diagnostic apparatus includes a walking exercise equipment (exercise equipment part) 6
And a screen (stimulating means) 7 arranged in front of the walking exercise equipment 6, an acceleration sensor (measuring means) 8 carried by the subject, an input means 5 for inputting an age, and a diagnostic means 9. The subject carrying the acceleration sensor 8 inputs the age from the input means 5. And the front screen 7
Is walking on the walking belt 61 of the walking exercise equipment 6 while watching the screen projected on the screen. The screen initially shows the scenery of the town and nature as you walk. The video shows a car or dog suddenly jumping out from the side. The disturbance of the acceleration of the subject at this time is detected by the acceleration sensor 8.
And transmits the measured data to the diagnostic means 9. The diagnosis unit 9 includes a data processing / analysis unit 91, a health state diagnosis unit 92, and an output unit 93, and diagnoses the health state of the subject based on the transmitted measurement data. Since the diagnosis method is the same as described above, the description is omitted here.

【0037】図8では、スクリーン7に映し出された映
像により外部刺激を被験者に与えたが、歩行運動器具6
の歩行ベルト61の歩行速度や傾斜角度を変化させて被
験者に外部刺激を与えてもよく、またこれらを組み合わ
せて外部刺激を与えてももちろん構わない。
In FIG. 8, an external stimulus is given to the subject by the image projected on the screen 7.
The external stimulus may be applied to the subject by changing the walking speed or the inclination angle of the walking belt 61, or the external stimulus may be applied by combining these.

【0038】[0038]

【実施例】実施例1 加速度センサを携帯した被験者にトレッドミルの歩行ベ
ルト上を歩かせる。歩行ベルトの速度を時速4km/h
から6km/hに上げて10分間歩かせた後、再び元の
速度に戻して、歩行ベルトの速度を上げる前後での加速
度を測定した。測定した加速度データをDFAを用いて
解析した。結果を図9に示す。図9では、歩行ベルトの
速度を上げた後は上げる前に比べて揺らぎが全体に大き
くなっている。この揺らぎの増加は被験者の疲労度と関
連していると考えられ、疲労度が大きいほど高速歩行後
の揺らぎの増加は大きくなる。また体調と疲労度も密接
な関係があり、体調がよいほど疲労度は小さい。したが
って疲労度の大きさ、すなわち高速歩行後の揺らぎの増
加の大きさを健康状態の指標とでき、揺らぎの増加が小
さいほど体調は良好と診断できる。
EXAMPLE 1 A subject carrying an acceleration sensor is caused to walk on a walking belt of a treadmill. The speed of the walking belt is 4 km / h
After raising the speed to 6 km / h and walking for 10 minutes, the speed was returned again to the original speed, and the acceleration before and after increasing the speed of the walking belt was measured. The measured acceleration data was analyzed using DFA. FIG. 9 shows the results. In FIG. 9, after the speed of the walking belt is increased, the fluctuation is larger as compared with before the speed is increased. This increase in fluctuation is considered to be related to the degree of fatigue of the subject, and the higher the degree of fatigue, the larger the fluctuation after high-speed walking. The physical condition and the degree of fatigue are also closely related, and the better the physical condition, the smaller the degree of fatigue. Therefore, the magnitude of the degree of fatigue, that is, the magnitude of the increase in fluctuation after high-speed walking can be used as an indicator of the health state, and the smaller the increase in fluctuation, the better the physical condition can be diagnosed.

【0039】実施例2 加速度センサを携帯した被験者にトレッドミルの歩行ベ
ルト(時速4.0km)上を歩かせ、さらに被験者には
イヤホンを付けさせた。そしてイヤホンからリズミカル
な音楽(行進曲)を5分間流し、音楽を聴く前と後の加
速度変化を測定した。測定した加速度データをDFAを
用いて解析した。結果を図10に示す。図10では、音
楽を聴いた後は聴く前に比べて揺らぎの傾きが小さくな
っている。この揺らぎの傾きは歩行リズムの規則性と関
連していると考えられ、歩行リズムが規則的になるほど
揺らぎの傾きは小さくなる。また体調と音楽リズムへの
順応性とも密接な関係があり、一般に体調がよいほど音
楽のリズムに順応しやすい。したがって、音楽のリズム
への順応性、すなわち揺らぎの傾き変化(減少方向)を
健康状態の指標とでき、揺らぎの傾き変化(減少方向)
が大きいほど体調は良好と診断できる。
Example 2 A subject carrying an acceleration sensor was allowed to walk on a walking belt (4.0 km / h) of a treadmill, and further, an earphone was attached to the subject. Rhythmic music (march) was played from the earphones for 5 minutes, and the change in acceleration before and after listening to the music was measured. The measured acceleration data was analyzed using DFA. The results are shown in FIG. In FIG. 10, the inclination of fluctuation after listening to music is smaller than that before listening to music. The inclination of the fluctuation is considered to be related to the regularity of the walking rhythm, and the more the walking rhythm becomes more regular, the smaller the inclination of the fluctuation becomes. Also, there is a close relationship between physical condition and adaptability to music rhythm, and generally, the better the physical condition, the easier it is to adapt to the rhythm of music. Therefore, the adaptability to the music rhythm, that is, the change in the slope of the fluctuation (decreasing direction) can be used as an indicator of the health state, and the change in the slope of the fluctuation (decreasing direction) can be used.
The larger the is, the better the physical condition can be diagnosed.

【0040】[0040]

【発明の効果】本発明の健康状態診断方法では、運動を
行っている被験者に対して外部刺激を与えて、外部刺激
による被験者の生体信号の変化と、被験者の年齢とから
健康状態を診断するので、従来の診断方法に比べ格段に
短い時間で精度よく診断することができる。
According to the health condition diagnostic method of the present invention, an external stimulus is given to a subject who is exercising, and the health condition is diagnosed based on a change in the biological signal of the subject due to the external stimulus and the age of the subject. Therefore, the diagnosis can be performed accurately in a much shorter time than in the conventional diagnosis method.

【0041】また本発明の健康状態診断装置では、運動
器具部と共に、被験者の健康状態を診断する手段をも備
えているので、運動器具により運動する同時に健康状態
を診断することができる。また本発明の診断装置によっ
て運動開始前に自己の健康状態を診断し、その診断結果
に基づきその日の運動プログラムを設定すれば、無理な
く効果的に健康の維持増進が図れる。
Further, the health condition diagnostic apparatus of the present invention is provided with means for diagnosing the health condition of the subject, in addition to the exercise equipment section, so that the user can diagnose the health condition while exercising with the exercise equipment. In addition, if the self-health condition is diagnosed by the diagnostic apparatus of the present invention before the start of exercise, and an exercise program of the day is set based on the diagnosis result, the maintenance and promotion of health can be easily and effectively achieved.

【図面の簡単な説明】[Brief description of the drawings]

【図1】 本発明の健康状態診断方法の構成例を示すブ
ロック図である。
FIG. 1 is a block diagram showing a configuration example of a health condition diagnosis method of the present invention.

【図2】 カオスアトラクタを2次元数空間に描いた一
例を示す図である。
FIG. 2 is a diagram illustrating an example in which a chaotic attractor is drawn in a two-dimensional number space.

【図3】 アトラクタ軌道周期の変化を示す図である。FIG. 3 is a diagram showing a change in an attractor orbit cycle.

【図4】 坂道歩行の前後の平坦歩行における加速度デ
ータである。
FIG. 4 shows acceleration data in flat walking before and after hill walking.

【図5】 図5の加速度データから求めたDFA結果で
ある。
FIG. 5 is a DFA result obtained from the acceleration data of FIG.

【図6】 図6の傾きの変化量と年齢との関係を示す図
である。
6 is a diagram showing the relationship between the amount of change in the inclination in FIG. 6 and age.

【図7】 平坦歩行時の振動センサの波形である。FIG. 7 is a waveform of a vibration sensor during flat walking.

【図8】 本発明の健康状態診断装置の一例を示す概説
図である。
FIG. 8 is a schematic diagram showing an example of a health condition diagnostic apparatus of the present invention.

【図9】 実施例1における加速度データのDFAを用
いた解析結果である。
FIG. 9 is an analysis result using DFA of acceleration data in the first embodiment.

【図10】 実施例2における加速度データのDFAを
用いた解析結果である。
FIG. 10 is an analysis result using DFA of acceleration data in the second embodiment.

【符号の説明】[Explanation of symbols]

1 測定手段 2 データ処理・解析手段 3 外部刺激 4 入力手段 5 入力装置(入力手段) 6 歩行運動器具(運動器具部) 7 スクリーン(刺激手段) 8 加速度センサ(測定手段) 9 診断手段 61 歩行ベルト 91 データ処理・解析手段 92 健康状態の診断手段 93 出力手段 DESCRIPTION OF SYMBOLS 1 Measurement means 2 Data processing / analysis means 3 External stimulation 4 Input means 5 Input device (input means) 6 Walking exercise equipment (exercise equipment part) 7 Screen (stimulation means) 8 Acceleration sensor (measurement means) 9 Diagnosis means 61 Walking belt 91 Data processing and analysis means 92 Health condition diagnosis means 93 Output means

───────────────────────────────────────────────────── フロントページの続き (72)発明者 小河 毅 大阪府大阪市阿倍野区長池町22番22号 シ ャープ株式会社内 Fターム(参考) 4C038 VA04 VA16 VB31  ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Takeshi Ogawa 22-22 Nagaikecho, Abeno-ku, Osaka-shi, Osaka F-term (reference) 4C038 VA04 VA16 VB31

Claims (11)

【特許請求の範囲】[Claims] 【請求項1】 運動を行っている被験者に対して外部刺
激を与え、外部刺激による被験者の生体信号の変化と、
被験者の年齢とから被験者の健康状態を診断することを
特徴とする健康状態診断方法。
1. An external stimulus is given to a subject who is exercising, and a change in a biological signal of the subject due to the external stimulus
A health condition diagnosis method comprising diagnosing the health condition of a subject from the age of the subject.
【請求項2】前記生体信号の変化をカオス解析を用いて
解析する請求項1記載の健康状態診断方法。
2. The method according to claim 1, wherein the change of the biological signal is analyzed by using chaos analysis.
【請求項3】 前記カオス解析としてカオスアトラクタ
解析を用いて、カオスアトラクタの軌道周期を求め、そ
の軌道周期の揺らぎをデトレンド変動分析により分析
し、揺らぎの大きさを縦軸、ウインドウサイズを横軸と
して各ウインドウサイズに対する揺らぎの大きさを図に
表し、外部刺激を与える前後の傾きの変化量を算出し、
予め調査しておいた傾きの変化量と年齢とを変数とする
健康状態区分から健康状態を診断する請求項2記載の健
康状態診断方法。
3. The chaos attractor analysis is used as the chaos analysis to determine the orbital period of the chaos attractor, the fluctuation of the orbital period is analyzed by detrend fluctuation analysis, and the magnitude of the fluctuation is plotted on the vertical axis and the window size is plotted on the horizontal axis. The magnitude of the fluctuation with respect to each window size is shown in the figure, and the amount of change in the inclination before and after applying the external stimulus is calculated,
3. The health condition diagnosis method according to claim 2, wherein the health condition is diagnosed from a health condition category in which the amount of change in the inclination and the age, which have been investigated in advance, are variables.
【請求項4】 前記運動が歩行運動であって、前記外部
刺激が坂道歩行、階段歩行、歩行速度変化、音声刺激、
映像刺激の少なくとも一つである請求項1〜3のいずれ
かに記載の健康状態診断方法。
4. The exercise is a walking exercise, and the external stimulus is a hill walk, a stair walk, a change in walking speed, a voice stimulus,
The method for diagnosing health condition according to any one of claims 1 to 3, which is at least one of image stimuli.
【請求項5】 運動器具を用いて運動を行っている被験
者に対して外部刺激を与える請求項1〜3のいずれかに
記載の健康状態診断方法。
5. The method for diagnosing health condition according to claim 1, wherein an external stimulus is given to the subject who is exercising using the exercise equipment.
【請求項6】 前記運動器具が歩行運動器具である請求
項5記載の健康状態診断方法。
6. The method according to claim 5, wherein the exercise equipment is a walking exercise equipment.
【請求項7】 前記外部刺激として歩行速度および歩行
面傾斜角度の少なくとも一方を変化させる請求項6記載
の健康状態診断方法。
7. The health condition diagnosis method according to claim 6, wherein at least one of a walking speed and a walking surface inclination angle is changed as the external stimulus.
【請求項8】 前記運動器具に映像装置をさらに設け、
該映像装置からの映像による外部刺激を与える請求項5
又は6記載の健康状態診断方法。
8. The exercise apparatus further includes a video device,
6. An external stimulus provided by an image from the image device.
Or the health condition diagnosis method according to 6.
【請求項9】 前記運動器具に音声出力装置をさらに設
け、該音声出力装置からの音声による外部刺激を与える
請求項5又は6記載の健康状態診断方法。
9. The health condition diagnosis method according to claim 5, wherein a sound output device is further provided on the exercise equipment, and an external stimulus is provided by sound from the sound output device.
【請求項10】 加速度センサ及び振動センサの少なく
とも一方により前記生体信号を測定する請求項1〜9の
いずれかに記載の健康状態診断方法。
10. The health condition diagnosis method according to claim 1, wherein the biological signal is measured by at least one of an acceleration sensor and a vibration sensor.
【請求項11】 運動器具部と、被験者に外部刺激を与
える刺激手段と、外部刺激による被験者の生体信号の変
化を測定する測定手段と、被験者の年齢を入力する入力
手段と、生体信号の変化から被験者の健康状態を診断す
る診断手段とを備えたことを特徴とする健康状態診断装
置。
11. Exercise equipment, stimulating means for applying an external stimulus to a subject, measuring means for measuring a change in a biological signal of the subject due to the external stimulus, input means for inputting the age of the subject, and a change in the biological signal Diagnostic means for diagnosing the health condition of the subject from the subject.
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