JPH08317919A - Sound oscillation evaluating device - Google Patents
Sound oscillation evaluating deviceInfo
- Publication number
- JPH08317919A JPH08317919A JP7130084A JP13008495A JPH08317919A JP H08317919 A JPH08317919 A JP H08317919A JP 7130084 A JP7130084 A JP 7130084A JP 13008495 A JP13008495 A JP 13008495A JP H08317919 A JPH08317919 A JP H08317919A
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- JP
- Japan
- Prior art keywords
- sound
- vibration
- biological signal
- detecting
- signal
- 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.)
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Links
Landscapes
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
Description
【０００１】[0001]
【産業上の利用分野】本発明は、騒音や振動などを受け
た場合に人体が感じる官能評価を生体信号の変動分析に
より行う音振動評価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 sound and vibration evaluation apparatus for performing sensory evaluation that a human body feels when it receives noise, vibration, etc., by analyzing fluctuations in biological signals.
【０００２】[0002]
【従来の技術】従来の音振動評価には、音楽のような心
地良い音の評価と、騒音のような不快な音の評価がある
が、ここでは不快な音の評価として最もよく用いられて
いる騒音レベルによる評価手法を用いて説明する。2. Description of the Related Art Conventional sound and vibration evaluation includes evaluation of a pleasant sound such as music and evaluation of an unpleasant sound such as noise. Here, it is most often used as an evaluation of an unpleasant sound. An explanation will be given using the evaluation method based on the existing noise level.
【０００３】騒音レベルによる評価は、図１１に示すよ
うに騒音を発生する機械１の音をマイクロホン２で受け
て電気信号に変換し、その電気信号を騒音計３によって
所定の重み付けを行って数値化し、定量的に評価するも
のである。In the evaluation based on the noise level, as shown in FIG. 11, the sound of the machine 1 which generates noise is received by the microphone 2 and converted into an electric signal, and the electric signal is given a predetermined weight by the sound level meter 3 to obtain a numerical value. And evaluate quantitatively.
【０００４】上記構成において、騒音計３によって測定
した騒音レベルにより、機械１から発生される騒音の不
快感を評価するものである。In the above structure, the uncomfortable feeling of the noise generated from the machine 1 is evaluated by the noise level measured by the sound level meter 3.
【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
の構成では、騒音の物理的な量を計測することによっ
て、人体が受ける刺激量に対応づけしようとしている
が、間接的であり必ずしもよく対応しているとはいえな
かった。すなわち、騒音レベルの測定は、実験的に多く
のデータから一般的な評価指標を求めるものであり、測
定する時の人や環境の条件によって、評価に差が生じる
という課題があった。また、近年の家庭電化機器のよう
に、静音化技術の進歩によって、４０dB(A)以下の低騒
音レベルになってくると、騒音レベルだけでは評価でき
ず、音質面からの評価が必要となってきていた。しか
し、音質評価は、「うるさい」、「やかましい」、「つ
かれる」などの項目に対する評価を、アンケート方式で
調査して統計的に傾向をつかむ方法で行われており、間
接的であり、試験を行う側の誘導尋問的な影響を受ける
ことが多く、中立的な評価を行うことが難しかった。However, in the above-mentioned conventional configuration, the physical quantity of noise is measured to correspond to the stimulation amount received by the human body, but it is indirect and does not always correspond well. I couldn't say it was. That is, the measurement of the noise level involves experimentally obtaining a general evaluation index from a large amount of data, and there is a problem in that the evaluation varies depending on the condition of the person or the environment at the time of measurement. In addition, when the noise level has become lower than 40 dB (A) due to the progress of noise reduction technology, such as home electric appliances in recent years, it is not possible to evaluate the noise level alone, and it is necessary to evaluate the sound quality. Was coming. However, the sound quality evaluation is indirect because it is a method of statistically grasping the tendency of the evaluation of items such as "noisy", "noisy", and "useful" by a questionnaire method. It was difficult to make a neutral evaluation because it was often influenced by the interrogation of the conducting party.
【０００６】本発明は上記課題を解決するもので、音や
振動が発生したかどうかを検知して、その時の生体信号
の変化から音や振動の評価を行うことを第１の目的とし
ている。そして、生体信号の変化を１／ｆ特性と比較す
ることによってその音や振動を評価することを第２の目
的としている。また、生体信号のゆらぎの大きさを比較
することによって、その音や振動を評価するを行うこと
を第３の目的としている。さらに、音や振動と生体信号
の相関解析による分析結果と、生体信号の変動分析の２
つの結果から音や振動の評価を行うことを第４の目的と
している。The present invention is intended to solve the above problems, and it is a first object of the present invention to detect whether or not sound or vibration has occurred, and to evaluate the sound or vibration from the change in the biological signal at that time. The second purpose is to evaluate the sound and vibration by comparing the change of the biological signal with the 1 / f characteristic. A third object is to evaluate the sound and vibration by comparing the magnitudes of fluctuations of biological signals. In addition, the analysis result by correlation analysis of the sound and vibration and the biological signal and the variation analysis of the biological signal
The fourth purpose is to evaluate sound and vibration from the two results.
【０００７】[0007]
【課題を解決するための手段】本発明は上記第１の目的
を達成するための第１の手段は、所定の音または振動が
発生したことを検知する音振動検知装置と、心電、筋
電、脈波、心拍などの生体信号を検出する生体信号検出
装置と、前記生体信号の変動を分析する変動分析装置を
備え、前記音振動検知装置により検知された生体信号を
変動分析装置により分析し、その分析結果から発生した
音または振動を評価する構成とした。そして、第２の目
的を達成するために、音を聞くまたは振動を受ける前後
の人体の生体信号をパワースペクトル解析する変動分析
装置と、前記パワースペクトルの傾きが１／ｆ特性に接
近する度合で音または振動の評価を行う構成とした。さ
らに、第３の目的を達成するために、音を聞くまたは振
動を受ける前後の人体の生体信号のゆらぎの大きさを分
析する変動分析装置と、前記ゆらぎの大きさの度合で音
または振動の評価する構成とした。また、第４の目的を
達成するために、所定の音または振動が発生したことを
検知する音振動検知装置と、心電、筋電、脈波、心拍な
どの生体信号を検出する生体信号検出装置と、前記生体
信号の変動を分析する変動分析装置と、前記音または振
動と前記生体信号の相互相関を分析する相関分析装置を
備え、前記変動分析装置らよって生体信号を分析した第
１の分析結果と、相関分析装置によって得られた第２の
分析結果から発生した音または振動を評価する構成とし
た。The first means for achieving the above-mentioned first object of the present invention is to provide a sound vibration detection device for detecting the occurrence of a predetermined sound or vibration, an electrocardiogram and a muscle. A biological signal detection device for detecting biological signals such as electric current, pulse wave, heartbeat, and a fluctuation analysis device for analyzing fluctuations of the biological signal, and the biological signal detected by the sound vibration detection device is analyzed by the fluctuation analysis device. Then, the sound or vibration generated from the analysis result is evaluated. In order to achieve the second object, a variation analysis device for analyzing a power spectrum of a biological signal of a human body before and after hearing a sound or receiving a vibration, and a degree of inclination of the power spectrum approaching a 1 / f characteristic. The configuration is such that sound or vibration is evaluated. Further, in order to achieve the third object, a fluctuation analysis device that analyzes the magnitude of fluctuation of a biological signal of a human body before and after hearing or vibrating a sound, and a fluctuation analyzer that detects the sound or the vibration depending on the degree of the fluctuation. The evaluation was made. Further, in order to achieve the fourth object, a sound vibration detection device that detects the occurrence of a predetermined sound or vibration, and biosignal detection that detects biosignals such as electrocardiogram, myoelectric potential, pulse wave, and heartbeat. An apparatus, a fluctuation analysis apparatus that analyzes fluctuations in the biological signal, and a correlation analysis apparatus that analyzes cross-correlation between the sound or vibration and the biological signal, and a first method that analyzes the biological signal by the fluctuation analysis apparatus. The sound or vibration generated from the analysis result and the second analysis result obtained by the correlation analyzer is evaluated.
【０００８】[0008]
【作用】本発明は上記構成によって、第１の手段によれ
ば、音振動検知装置によって、音や振動が発生した時の
生体信号と音や振動が発生していないときの生体信号の
変化を区別して測定することができ、音や振動によって
生体信号がどのように変化したかを評価することで音や
振動の体感評価を定量的に行うことができるのである。
そして、第２の手段によれば、生体信号のパワースペク
トル解析した結果を、１／ｆ特性と比較して変化した度
合から評価することで音や振動の体感評価を定量的に行
うことができるのである。また、第３の手段によれば、
生体信号のゆらぎの大きさを分析した結果を比較して評
価することで、音や振動の体感評価を定量的に行うこと
ができるのである。さらに、第４の手段によれば、音や
振動と生体信号の相関解析による分析結果と、生体信号
の変動分析結果から音や振動の評価を行うことができる
のである。According to the first aspect of the present invention, according to the first aspect, the sound and vibration detecting device detects the change of the biomedical signal when the sound or the vibration is generated and the biomedical signal when the sound or the vibration is not generated. It is possible to separately measure, and it is possible to quantitatively evaluate the feeling of sound or vibration by evaluating how the biological signal is changed by sound or vibration.
Then, according to the second means, the result of power spectrum analysis of the biomedical signal is compared with the 1 / f characteristic and evaluated from the degree of change, so that the sensation of sound and vibration can be quantitatively evaluated. Of. According to the third means,
By comparing and evaluating the results of the analysis of the magnitude of the fluctuation of the biological signal, it is possible to quantitatively evaluate the sensation of sound and vibration. Further, according to the fourth means, it is possible to evaluate the sound and vibration from the analysis result by the correlation analysis of the sound and vibration and the biological signal and the analysis result of the variation of the biological signal.
【０００９】[0009]
【実施例】以下、本発明の第１の実施例の音振動評価装
置を、図１から図３を参照して説明する。DESCRIPTION OF THE PREFERRED EMBODIMENTS A sound vibration evaluation apparatus according to a first embodiment of the present invention will be described below with reference to FIGS.
【００１０】図１に示すように、機械の音を受音するマ
イクロホン４と、マイクロホン４からの信号が所定レベ
ル以上になったことを検知する音振動検知装置５と、人
体の心拍を測定する生体信号検出装置としての圧電セン
サーを用いた心拍計６と、前記心拍計６の信号をパワー
スペクトル解析する変動分析装置７を備えた構成とし
た。ここで、８、９は、それぞれマイクロホンと心拍計
の信号増幅器である。また、図２に変動分析装置で行わ
れる信号処理のフローチャートを示す。As shown in FIG. 1, a microphone 4 for receiving a mechanical sound, a sound vibration detecting device 5 for detecting that a signal from the microphone 4 has exceeded a predetermined level, and a heartbeat of a human body are measured. A heartbeat meter 6 using a piezoelectric sensor as a biological signal detecting device and a fluctuation analyzer 7 for analyzing the power spectrum of the signal of the heartbeat meter 6 are provided. Here, 8 and 9 are the signal amplifiers of the microphone and the heart rate monitor, respectively. Further, FIG. 2 shows a flowchart of the signal processing performed by the fluctuation analyzer.
【００１１】上記構成によれば、音振動検知装置によっ
て、音が発生した時の生体信号と音が発生していないと
きの生体信号の変化を区別して測定することができ、音
によって生体信号がどのように変化したかを評価するこ
とで音の評価を行うことができるのである。図２に示す
フローチャートを用いてその信号処理方法を示す。According to the above structure, the sound vibration detecting device can distinguish and measure the change of the biological signal when the sound is generated and the biological signal when the sound is not generated. The sound can be evaluated by evaluating how it has changed. The signal processing method will be described with reference to the flowchart shown in FIG.
【００１２】まず、音が発生したかどうかを示す「フラ
グ」に初期値「０」を、変動分析として行うパワースペ
クトルの傾きの係数「ａ」と「ｂ」に初期値「１」をそ
れぞれ代入する。そして、生体信号を心拍計から逐次入
力する。「ａ」、「ｂ」は１／ｆａまたは１／ｆｂとな
る式の係数である。次に、音の信号が所定値以上になっ
たかどうかを判定する音振動検知装置からの信号を逐次
入力する。そして、音振動検知装置からの信号があれ
ば、「フラグ」に「１」を代入する。そして、所定の測
定時間だけ生体信号を測定して、変動分析を行う。ここ
では、生体信号のパワースペクトル解析を行い、その結
果の１Ｈｚ成分以下のパワー成分から回帰解析によって
その周波数特性の傾きを求める。この傾きは、「フラグ
＝０」の場合は、音が所定値以上に大きくならなかった
場合であり、「ａ」に代入される。もし、「フラグ＝
１」の場合は、音が所定値以上になった場合であり、
「ｂ」に代入される。ここで、「ａ」と「ｂ」を次式に
より比較することで、１／ｆ特性にどれだけ近いかを判
定する。First, an initial value "0" is assigned to a "flag" indicating whether or not a sound is generated, and an initial value "1" is assigned to the coefficients "a" and "b" of the slope of the power spectrum which is used as the variation analysis. To do. Then, biological signals are sequentially input from the heart rate monitor. “A” and “b” are coefficients of an equation that becomes 1 / fa or 1 / fb. Next, the signals from the sound vibration detection device for determining whether or not the sound signal has exceeded a predetermined value are sequentially input. Then, if there is a signal from the sound vibration detection device, "1" is substituted into the "flag". Then, the biological signal is measured for a predetermined measurement time and the variation analysis is performed. Here, the power spectrum analysis of the biological signal is performed, and the slope of the frequency characteristic is obtained by regression analysis from the resulting power component of 1 Hz component or less. In the case of "flag = 0", this inclination is a case where the sound has not become louder than a predetermined value, and is substituted for "a". If "flag =
In the case of "1", it means that the sound is above a certain level,
Substituted in "b". Here, by comparing “a” and “b” by the following equation, it is determined how close the 1 / f characteristic is.
【００１３】例えば、図３に示すような特性が得られた
とすると、 ｜１−ａ｜＜｜１−ｂ｜ の場合は、生体信号の変動が１／ｆから遠ざかっている
と考えられるので、発生している音は不快音であると判
定する。また、 ｜１−ａ｜＞｜１−ｂ｜ の場合は、生体信号の変動が１／ｆに近づいているの
で、発生している音は心地好い音であると判定する。For example, if the characteristics shown in FIG. 3 are obtained, it is considered that the variation of the biological signal is far from 1 / f when | 1-a | <| 1-b | It is determined that the generated sound is an unpleasant sound. Further, in the case of | 1-a |> | 1-b |, since the fluctuation of the biological signal is approaching 1 / f, it is determined that the generated sound is a pleasant sound.
【００１４】このような計測を繰り返すことで音の評価
がその時々の条件に対応して評価することができる。生
体信号としては、自分で容易にコントロールできない心
拍や心電、筋電、脈波などを用いることで、評価データ
を人為的に作ることは困難であり、正しい音の評価を定
量的に行うことができる。By repeating such measurement, the sound can be evaluated in accordance with the condition at that time. It is difficult to artificially create evaluation data by using heartbeats, electrocardiograms, myoelectrics, pulse waves, etc. that cannot be easily controlled by oneself as biological signals, and it is necessary to quantitatively evaluate correct sounds. You can
【００１５】次に、第２の実施例について図４から図７
を用いて説明する。上記第１の実施例と同一構造で、か
つ同一作用をする部分には同一符号を付して詳細な説明
は略し、異なる部分を中心に説明する。Next, the second embodiment will be described with reference to FIGS.
Will be explained. Portions having the same structure as those of the first embodiment and having the same function are denoted by the same reference numerals, and detailed description thereof will be omitted, and different portions will be mainly described.
【００１６】変動分析装置７において、生体信号を計測
したデータから図４に示す信号の各周期を測定する。こ
の信号の周期をそれぞれの時刻毎にＴｉ、Ｔｉ＋１とし
て測定し、図５に示すような特性図を描く。すなわち、
ＴｉをＸ軸に、Ｔｉ＋１をＹ軸に描き、つぎの周期の時
には、前のＴｉ＋１がＴｉとなり、新しい周期がＴｉ＋
１となるように、順次ＸＹ座標軸上にプロットしてい
く。そして、その軌跡が描く軌道の最小面積Ｓを、Ｘ軸
の最小幅とＹの最小幅を乗算することによって求める。
このＳが音を聞くことによって変化する度合を評価値と
する。The fluctuation analyzer 7 measures each cycle of the signal shown in FIG. 4 from the data obtained by measuring the biological signal. The period of this signal is measured as Ti and Ti + 1 at each time, and a characteristic diagram as shown in FIG. 5 is drawn. That is,
Draw Ti on the X-axis and Ti + 1 on the Y-axis. At the next cycle, the previous Ti + 1 becomes Ti and the new cycle becomes Ti +
The values are sequentially plotted on the XY coordinate axes so that the value becomes 1. Then, the minimum area S of the trajectory drawn by the locus is obtained by multiplying the minimum width of the X axis and the minimum width of Y.
The evaluation value is the degree to which this S changes due to the sound being heard.
【００１７】生体信号のゆらぎの大きさは、ストレスな
どがたまってくると小さくなり、健康状態ほど大きなゆ
らぎとなると考えられているので、この評価値は、大き
くなるほどストレスのない快適な状態に体が近づいてい
ることを示すものである。ここで、ＴがＴの変動分ΔＴ
に比べ、非常に大きい時はΔＴの変動がわかりにくくな
るので、Ｔの平均値Ｔａｖｅを求め、Ｔ−Ｔａｖｅを
Ｔ’として、Ｔ’ｉとＴ’ｉ＋１とで分析する方法をと
ることする。この評価値Ｓの時間変化を図６のように測
定することで、その時刻に発生している音が快適な音
か、不快な音かを判定するものである。そのフローチャ
ートを図７に示す。It is considered that the magnitude of the fluctuation of the biological signal becomes smaller as stress accumulates, and the larger the fluctuation becomes in the health condition, the larger the evaluation value becomes. Is approaching. Here, T is the variation ΔT of T
Compared with the above, when it is very large, the variation of ΔT becomes difficult to understand, so an average value Tave of T is obtained, T-Tave is T ′, and the method of analyzing T′i and T′i + 1 is adopted. By measuring the time change of the evaluation value S as shown in FIG. 6, it is determined whether the sound generated at that time is a comfortable sound or an uncomfortable sound. The flowchart is shown in FIG.
【００１８】このように、生体信号のゆらぎの大きさで
音や振動の評価を行うことで、定量的に、かつ検査員な
どの誘導に左右されず高精度に評価を行うことができ
る。As described above, the sound and vibration are evaluated by the magnitude of the fluctuation of the biological signal, so that the evaluation can be performed quantitatively and with high accuracy without being influenced by the guidance of the inspector.
【００１９】次に、第３の実施例について図８から図１
０を用いて説明する。上記第１の実施例と同一構造で、
かつ同一作用をする部分には同一符号を付して詳細な説
明は略し、異なる部分を中心に説明する。Next, the third embodiment will be described with reference to FIGS.
It will be described using 0. With the same structure as the first embodiment,
The parts having the same function are denoted by the same reference numerals, detailed description thereof will be omitted, and different parts will be mainly described.
【００２０】図８に示すように、機械の音を受音するマ
イクロホン４と、人体の心拍を測定する生体信号検出装
置としての圧電センサーを用いた心拍計６と、前記マイ
クロホン４の信号と前記心拍計６の信号を相互相関解析
する相関分析装置９と、前記生体信号の変動を分析する
変動分析装置１０と、前記相関分析装置９の結果と前記
変動分析装置１０の結果から、音の評価を行う音振動評
価装置１１を備えた構成とした。ここで、８、９は、そ
れぞれマイクロホンと心拍計の信号増幅器である。ま
た、図９に信号処理のフローチャートを示す。As shown in FIG. 8, a microphone 4 for receiving a mechanical sound, a heart rate meter 6 using a piezoelectric sensor as a biological signal detecting device for measuring a heartbeat of a human body, a signal of the microphone 4 and the Correlation analysis device 9 for performing cross-correlation analysis of the signal of the heart rate monitor 6, variation analysis device 10 for analyzing the variation of the biological signal, and sound evaluation based on the results of the correlation analysis device 9 and the variation analysis device 10. The sound and vibration evaluation device 11 for performing the above is provided. Here, 8 and 9 are the signal amplifiers of the microphone and the heart rate monitor, respectively. Further, FIG. 9 shows a flowchart of signal processing.
【００２１】上記構成によれば、騒音の周期が生体信号
の変動に近い場合において、その影響を考慮して音を評
価することができるものである。すなわち、図１０に示
すような信号の場合、心拍と騒音の周期が非常に近似し
ており、生体信号としての心拍は、バイオフィードバッ
クとして騒音の周期に影響を受け、騒音の周期に合わせ
るように変動する場合がある。この場合、生体信号のパ
ワースペクトルは周期性が強い特長となり、右下がりの
強い勾配となり１／ｆから遠ざかるようになる。よっ
て、心拍の信号と、音の信号を同時に測定し、その相関
解析を行う。その結果、相関係数が０．８未満の低い値
となったときは、パワースペクトル解析を行って、前記
実施例のように評価するが、０．８以上の高い相関値と
なった場合は、不快音として評価することとした。According to the above configuration, when the cycle of noise is close to the fluctuation of the biological signal, the sound can be evaluated in consideration of its influence. That is, in the case of the signal as shown in FIG. 10, the heartbeat and the noise cycle are very close to each other, and the heartbeat as the biological signal is influenced by the noise cycle as biofeedback, and is adjusted to match the noise cycle. It may fluctuate. In this case, the power spectrum of the biomedical signal is characterized by having a strong periodicity, and has a strong downward sloping gradient and moves away from 1 / f. Therefore, the heartbeat signal and the sound signal are measured at the same time, and the correlation analysis is performed. As a result, when the correlation coefficient becomes a low value of less than 0.8, a power spectrum analysis is performed and evaluation is performed as in the above-described example, but when a high correlation value of 0.8 or more is obtained, , And decided to evaluate it as an unpleasant sound.
【００２２】このように、パワースペクトルによる勾配
の評価だけでは、音の評価が困難な場合でも、騒音信号
と生体信号の相互相関をとることで、生体信号が騒音に
影響されている度合を分析することによって、音の評価
を的確にかつ定量的に行うことができるのである。As described above, even when it is difficult to evaluate the sound only by evaluating the gradient based on the power spectrum, the degree of the influence of the biological signal on the noise is analyzed by taking the cross-correlation between the noise signal and the biological signal. By doing so, the sound can be evaluated accurately and quantitatively.
【００２３】[0023]
【発明の効果】以上説明したように本発明の第１と第２
の手段によれば、生体信号の変動分析から発生している
音の評価が可能となるものである。そして、音が発生し
ているときといないときで生体信号のパワースペクトル
の勾配を比較することによって、音の評価を正確に行う
ことができる効果がある。そして、第３の手段によれ
ば、生体信号のゆらぎの大きさを比較することによっ
て、音の評価を正確にかつ定量的に行うことができる効
果がある。また、第４の手段によれば、騒音信号と生体
信号の相互相関をとることで、生体信号が騒音に影響さ
れている度合を分析して、その影響度を考慮して評価す
ることができるのである。As described above, the first and second aspects of the present invention
According to the means, it is possible to evaluate the sound generated from the variation analysis of the biological signal. Then, by comparing the gradients of the power spectra of the biomedical signals when the sound is generated and when the sound is not generated, there is an effect that the sound can be accurately evaluated. Then, according to the third means, there is an effect that the sound can be evaluated accurately and quantitatively by comparing the magnitudes of the fluctuations of the biological signals. Further, according to the fourth means, by taking the cross-correlation between the noise signal and the biological signal, it is possible to analyze the degree to which the biological signal is affected by noise, and to evaluate the degree of influence in consideration. Of.
【図１】本発明の第一の実施例を示す音振動評価装置の
ブロック図FIG. 1 is a block diagram of a sound and vibration evaluation apparatus showing a first embodiment of the present invention.
【図２】同装置の信号処理を示すフローチャートFIG. 2 is a flowchart showing signal processing of the same device.
【図３】生体信号のパワースペクトル図FIG. 3 is a power spectrum diagram of a biological signal.
【図４】本発明の第２の実施例を示す生体信号波形図FIG. 4 is a biological signal waveform diagram showing a second embodiment of the present invention.
【図５】同装置で分析した特性図[Figure 5] Characteristic diagram analyzed by the same device
【図６】同装置で分析した特性図FIG. 6 is a characteristic diagram analyzed by the same device.
【図７】同装置のフローチャートFIG. 7 is a flowchart of the device.
【図８】本発明の第３の実施例を示す音振動評価装置の
ブロック図FIG. 8 is a block diagram of a sound and vibration evaluation apparatus showing a third embodiment of the present invention.
【図９】同装置のフローチャートFIG. 9 is a flowchart of the device.
【図１０】生体信号と騒音信号波形を示す特性図FIG. 10 is a characteristic diagram showing biological signal and noise signal waveforms.
【図１１】従来の睡眠時呼吸情報測定装置のブロック図FIG. 11 is a block diagram of a conventional sleep respiratory information measuring device.
４ マイクロホン ５ 音振動検知装置 ６ 心拍計（生体信号検知装置） ８ 変動分析装置 ９ 相互相関分析装置 １０ 変動分析装置 １１ 音振動評価装置 4 Microphone 5 Sound Vibration Detection Device 6 Heart Rate Monitor (Biological Signal Detection Device) 8 Fluctuation Analysis Device 9 Cross Correlation Analysis Device 10 Fluctuation Analysis Device 11 Sound Vibration Evaluation Device
Claims (4)
する音振動検知装置と、心電、筋電、脈波、心拍などの
生体信号を検出する生体信号検出装置と、前記生体信号
の変動を分析する変動分析装置を備え、前記音振動検知
装置により検知された生体信号を変動分析装置により分
析し、その分析結果から発生した音または振動を評価す
る音振動評価装置。1. A sound and vibration detecting device for detecting the occurrence of a predetermined sound or vibration, a biological signal detecting device for detecting a biological signal such as an electrocardiogram, myoelectric potential, pulse wave, heartbeat, and the like. A sound and vibration evaluation apparatus comprising a fluctuation analysis device for analyzing fluctuations, analyzing a biological signal detected by the sound and vibration detection device by the fluctuation analysis device, and evaluating sound or vibration generated from the analysis result.
生体信号をパワースペクトル解析する変動分析装置と、
前記パワースペクトルの傾きが１／ｆ特性に接近する度
合で音または振動の評価を行う請求項１記載の音振動評
価装置。2. A fluctuation analyzer for analyzing a power spectrum of a biological signal of a human body before and after hearing a sound or receiving a vibration,
The sound and vibration evaluation device according to claim 1, wherein sound or vibration is evaluated according to the degree to which the slope of the power spectrum approaches the 1 / f characteristic.
生体信号のゆらぎの大きさを分析する変動分析装置と、
前記ゆらぎの大きさの度合で音または振動の評価を行う
請求項１記載の音振動評価装置。3. A fluctuation analysis device for analyzing the magnitude of fluctuation of a biological signal of a human body before and after listening to sound or receiving vibration.
The sound and vibration evaluation device according to claim 1, wherein the sound or vibration is evaluated based on the degree of the fluctuation.
する音振動検知装置と、心電、筋電、脈波、心拍などの
生体信号を検出する生体信号検出装置と、前記生体信号
の変動を分析する変動分析装置と、前記音または振動と
前記生体信号の相互相関を分析する相関分析装置を備
え、前記変動分析装置によって生体信号を分析した第１
の分析結果と、相関分析装置によって得られた第２の分
析結果から発生した音または振動を評価する音振動評価
装置。4. A sound and vibration detecting device for detecting the occurrence of a predetermined sound or vibration, a biological signal detecting device for detecting a biological signal such as electrocardiogram, myoelectric potential, pulse wave, heartbeat, and the like. A variation analysis device for analyzing variation, and a correlation analysis device for analyzing cross-correlation between the sound or vibration and the biological signal, wherein the variation analysis device analyzes the biological signal.
And a sound and vibration evaluation device that evaluates the sound or vibration generated from the second analysis result obtained by the correlation analysis device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP13008495A JP3687135B2 (en) | 1995-05-29 | 1995-05-29 | Sound vibration evaluation device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP13008495A JP3687135B2 (en) | 1995-05-29 | 1995-05-29 | Sound vibration evaluation device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH08317919A true JPH08317919A (en) | 1996-12-03 |
| JP3687135B2 JP3687135B2 (en) | 2005-08-24 |
Family
ID=15025601
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP13008495A Expired - Fee Related JP3687135B2 (en) | 1995-05-29 | 1995-05-29 | Sound vibration evaluation device |
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| Country | Link |
|---|---|
| JP (1) | JP3687135B2 (en) |
Cited By (7)
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|---|---|---|---|---|
| JP2006149470A (en) * | 2004-11-25 | 2006-06-15 | Delta Tooling Co Ltd | Method and device for evaluating comfort level |
| JP2008517263A (en) * | 2004-10-15 | 2008-05-22 | エックスエイエックス ケイエフティ | Apparatus and method for measuring and examining signals of a system that emits measurable signals in operation or in response to external excitation |
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| CN102478423A (en) * | 2010-11-24 | 2012-05-30 | 比亚迪股份有限公司 | Environmental sound monitoring system |
| CN102928071A (en) * | 2012-10-25 | 2013-02-13 | 北京市市政工程研究院 | Road traffic noise detecting system and method based on electrocardiographic index |
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1995
- 1995-05-29 JP JP13008495A patent/JP3687135B2/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008517263A (en) * | 2004-10-15 | 2008-05-22 | エックスエイエックス ケイエフティ | Apparatus and method for measuring and examining signals of a system that emits measurable signals in operation or in response to external excitation |
| JP2006149470A (en) * | 2004-11-25 | 2006-06-15 | Delta Tooling Co Ltd | Method and device for evaluating comfort level |
| JP4636861B2 (en) * | 2004-11-25 | 2011-02-23 | 株式会社デルタツーリング | Comfort evaluation device |
| JP2011015788A (en) * | 2009-07-08 | 2011-01-27 | Keio Gijuku | Visual evoked potential signal detection system |
| CN102478423A (en) * | 2010-11-24 | 2012-05-30 | 比亚迪股份有限公司 | Environmental sound monitoring system |
| KR101347492B1 (en) * | 2012-05-14 | 2014-01-06 | 인하대학교 산학협력단 | Method for sound quality analysis of vehicle based on brain signal and apparatus for thereof |
| CN102928071A (en) * | 2012-10-25 | 2013-02-13 | 北京市市政工程研究院 | Road traffic noise detecting system and method based on electrocardiographic index |
| JP2018093996A (en) * | 2016-12-09 | 2018-06-21 | デルタ工業株式会社 | Biological state estimation device, biological state estimation method, computer program, and recording medium |
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