JP2005034402A - Biorhythm evaluating device and biorhythm evaluating method - Google Patents
Biorhythm evaluating device and biorhythm evaluating method Download PDFInfo
- Publication number
- JP2005034402A JP2005034402A JP2003274692A JP2003274692A JP2005034402A JP 2005034402 A JP2005034402 A JP 2005034402A JP 2003274692 A JP2003274692 A JP 2003274692A JP 2003274692 A JP2003274692 A JP 2003274692A JP 2005034402 A JP2005034402 A JP 2005034402A
- Authority
- JP
- Japan
- Prior art keywords
- time
- sleep
- human body
- posture
- biological rhythm
- 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.)
- Pending
Links
Images
Landscapes
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
Description
本発明は身体に無侵襲的に装着されたセンサの出力データを利用して、生活行動の異常や、生体リズムの乱れを判別する生体リズム評価装置および生体リズム評価方法に関する。 The present invention relates to a biological rhythm evaluation apparatus and a biological rhythm evaluation method for discriminating abnormalities in living behavior and biological rhythm disturbances using output data of a sensor noninvasively attached to the body.
生活行動の異常や、生体リズムの乱れを判別する生体リズム評価装置としては、例えば人間の心電位を計測するセンサーをもちいて生体リズムの評価を行おうとするものが示されている(例えば、特許文献1参照)。また、人体の生理信号から生体リズムを評価する装置が示されている(例えば、特許文献2参照)。
しかしながら、従来の技術のように生理信号を検出するセンサーを用いる場合は、たとえ非侵襲が謳われていようとも、例えば、心電位などは、生体リズムに起因する微細な特異性に対して熱や光などの環境因子、疾病、障害、疲労、ストレッサ、活動度、姿勢、性別など極めて重篤な外乱要因が多く、必ずしも的確に生体リズムが反映されやすいものではないために、センシングの精度が課題のひとつである。また、それら外乱要因の多様性ゆえに、検出に必要なセンサの装着方法や運用方法などは厳しく制限され、実際の生活行動の阻害要因となることが課題としてあげられる。 However, when using a sensor that detects physiological signals as in the prior art, for example, even if non-invasiveness is sought, for example, cardiac potential is not There are many very serious disturbance factors such as environmental factors such as light, illness, disability, fatigue, stressor, activity level, posture, and gender. It is one of. In addition, due to the diversity of these disturbance factors, the mounting method and operation method of sensors necessary for detection are severely restricted, which is an obstacle to actual living behavior.
本発明はこのような点に鑑みなされたもので、本発明の目的とするところは、外乱の影響が比較的小さく、計測に際して侵襲性の低い行動計測に着目し、従来から実生活場面での計測に困難を伴う生理的状態のひとつである生体リズムの評価を簡便に行うことができる生体リズム評価装置および生体リズム評価方法を提供することである。 The present invention has been made in view of the above points, and the object of the present invention is to focus on behavior measurement with a relatively small influence of disturbance and low invasiveness in measurement. To provide a biological rhythm evaluation apparatus and a biological rhythm evaluation method capable of simply evaluating a biological rhythm that is one of physiological states that are difficult to measure.
上述した課題を解決するために、第1の本発明の生態リズム評価装置は、体軸の傾斜から人体の姿勢を検知するための姿勢検知手段と、人体の活動量を検知する人体活動量検知手段と、時間を測定する計時手段と、人体の姿勢と活動量の経時変化に基づき睡眠行動を評価する睡眠評価手段と、生体リズムの評価を使用者に報知する報知手段とを備えることを特徴とする。 In order to solve the above-described problems, the ecological rhythm evaluation apparatus according to the first aspect of the present invention includes posture detection means for detecting the posture of the human body from the inclination of the body axis, and human activity amount detection for detecting the activity amount of the human body. Means, time measuring means for measuring time, sleep evaluation means for evaluating sleep behavior based on changes in human body posture and activity, and notifying means for notifying the user of biological rhythm evaluation. And
第2の本発明の生態リズム評価装置は、睡眠評価手段は、睡眠時間に加えて、就寝時刻と、起床時刻とを参照することを特徴とする。 The ecological rhythm evaluation apparatus of the second aspect of the present invention is characterized in that the sleep evaluation means refers to the bedtime and the wake-up time in addition to the sleep time.
第3の本発明の生態リズム評価装置は、簡便で低侵襲な生体リズム評価装置を実現するために、体軸の傾斜と人体活動量の検知を単一のセンサで可能ならしめる加速度センサを備えることを特徴とする。 The ecological rhythm evaluation apparatus according to the third aspect of the present invention includes an acceleration sensor that can detect the inclination of the body axis and the amount of human activity with a single sensor in order to realize a simple and minimally invasive biological rhythm evaluation apparatus. It is characterized by that.
第4の本発明の生態リズム評価装置は、生体リズム指標である位相変位の評価に就寝時刻と、起床時刻から生体リズムの位相差を検出することを特徴とする。 The ecological rhythm evaluation apparatus according to a fourth aspect of the present invention is characterized in that a phase difference of a biological rhythm is detected from a bedtime and a wake-up time in the evaluation of a phase displacement that is a biological rhythm index.
第5の本発明の生態リズム評価装置は、睡眠評価手段の評価結果を表示する機能を有する報知手段を備えることを特徴とする。 The ecological rhythm evaluation apparatus of 5th this invention is provided with the alerting | reporting means which has a function which displays the evaluation result of a sleep evaluation means, It is characterized by the above-mentioned.
本発明の生体リズム評価方法は、体軸の傾斜から人体の姿勢を検知するための姿勢検知ステップと、人体の活動量を検知する人体活動量検知ステップと、人体の姿勢と活動量の経時変化に基づき睡眠行動を評価する睡眠評価ステップとを備えることを特徴とする。 The biological rhythm evaluation method of the present invention includes a posture detection step for detecting the posture of the human body from the inclination of the body axis, a human activity amount detection step for detecting the amount of activity of the human body, and a temporal change of the posture and activity amount of the human body. And a sleep evaluation step for evaluating sleep behavior based on the above.
本発明の記録媒体は、上記各手段の機能の全部または一部をコンピュータに実行させるプログラムを格納することを特徴とする。 The recording medium of the present invention stores a program for causing a computer to execute all or a part of the functions of the respective means.
以上のように、本発明に係る生体リズム評価装置は、体軸の傾斜から人体の姿勢を検知するための姿勢検知手段と、人体の活動量を検知する人体活動量検知手段と、人体の姿勢と活動量に基づき生体リズムを評価する睡眠評価手段と、生体リズムの評価を使用者に報知する報知手段とを備えることにより、人体に対するセンサの装着・および運用が比較的簡便に行える生体リズム装置を実現することができる。 As described above, the biological rhythm evaluation apparatus according to the present invention includes posture detection means for detecting the posture of the human body from the inclination of the body axis, human activity amount detection means for detecting the amount of activity of the human body, and posture of the human body. And a sleep evaluation means for evaluating the biological rhythm based on the amount of activity and a notification means for notifying the user of the evaluation of the biological rhythm, so that the biological rhythm apparatus can relatively easily attach and operate the sensor to the human body. Can be realized.
人間の行動の中には人間自身の生理的負担を軽減することを主たる目的とするものがある。たとえば、暑い真夏のような環境下では水の摂取、日陰への移動、冷房の使用などがあげられる。それらの行動は、生理的な状態、欲求と密接な関連があることは明らかである。また、それら以上に人体をとりまく外部の環境に対する依存性が小さく、もっとも生理的意味の強い行動として睡眠があげられる。 Some human actions are primarily aimed at reducing the physiological burden of humans. For example, in an environment such as hot midsummer, water intake, movement to the shade, use of air conditioning, etc. can be mentioned. It is clear that these behaviors are closely related to physiological conditions and desires. In addition, there is less dependence on the external environment surrounding the human body, and sleep is one of the actions with the strongest physiological meaning.
睡眠は、メラトニンリズムなど生理的状態の反映である概日リズムと密接な関係が知られている。また、睡眠は、その持続時間である睡眠時間が長く、かつ、発生時刻が一定であれば、疲労回復など生理的ニーズや、概日リズムに適合した行動と見ることができる。しかし、睡眠時間の長短によらず、発生時刻が不定であれば、概日リズムという生理的ニーズに適合していないといえる。本発明はこの睡眠の発生時刻の不定性に着目して、生体リズムの評価を行うものである。 Sleep is known to be closely related to circadian rhythm, which is a reflection of physiological conditions such as melatonin rhythm. In addition, sleep can be regarded as an action adapted to physiological needs such as fatigue recovery and circadian rhythm if the sleep time, which is the duration of the sleep, is long and the occurrence time is constant. However, regardless of the length of sleep time, if the time of occurrence is indefinite, it can be said that it does not meet the physiological needs of circadian rhythm. The present invention evaluates the biological rhythm by paying attention to the indefiniteness of the occurrence time of sleep.
睡眠の発生時刻は、いうまでもなく就寝時刻と起床時刻で規定される。ここで、就寝や起床といった行動は随意的な行動であるため、それらの発生時刻は生理的ニーズ以外にも社会的なニーズも反映しうる。しかしながら、社会的ニーズは就学時間や就業時間、テレビの放映時間など一定の場合が多く、就寝時刻と起床時刻の不定性には生理的ニーズが反映されやすいといえる。 Needless to say, the sleep occurrence time is defined by the bedtime and the wake-up time. Here, since actions such as going to bed and getting up are voluntary actions, their occurrence time can reflect social needs in addition to physiological needs. However, there are many cases where social needs are fixed, such as school hours, working hours, and TV broadcast hours, and it can be said that physiological needs are easily reflected in the indefiniteness of bedtime and wake-up time.
本願発明は、以上の知見に基づき上述のように発生時刻の不定性に着目して、生体リズムの評価を行うものである。 Based on the above knowledge, the present invention focuses on the indefiniteness of the occurrence time as described above and evaluates the biological rhythm.
以下、本発明の実施の形態の一例に基づいて詳述する。図1は、本実施の形態における生体リズム評価装置の構成をを示しており、人体の体幹に装着され体幹の傾斜角度から臥位を検出する姿勢検知手段1と、人体に装着され体幹の運動強度を検知する人体活動量検知手段2と、上記姿勢検知手段1と上記人体活動量検知手段2から出力される情報を記憶、蓄積する情報記憶手段3と、上記情報記憶手段3に時刻を出力する計時手段4と、上記情報記憶手段4に蓄積された姿勢情報と活動量情報と時刻情報から睡眠時間を検知する睡眠時間検出手段5と、起床時刻を検知する起床時刻検出手段6と就寝時刻を検知する就寝時刻検知手段7と、睡眠評価手段8と報知手段9とから構成される。 Hereinafter, a detailed description will be given based on an example of an embodiment of the present invention. FIG. 1 shows the configuration of a biological rhythm evaluation apparatus according to the present embodiment, and posture detection means 1 that is attached to the trunk of the human body and detects the supine position from the inclination angle of the trunk, and the body that is attached to the human body. Human activity amount detection means 2 for detecting the exercise intensity of the trunk, information storage means 3 for storing and accumulating information output from the posture detection means 1 and the human activity amount detection means 2, and the information storage means 3 Time measuring means 4 for outputting time, sleep time detecting means 5 for detecting sleep time from posture information, activity amount information and time information accumulated in the information storage means 4, and wake-up time detecting means 6 for detecting wake-up time And bedtime detection means 7 for detecting bedtime, sleep evaluation means 8 and notification means 9.
ここで、上記姿勢検知手段1は、1軸の加速度センサを備え、上記姿勢検知手段1を装着する人体の体軸と、鉛直方向とが成す角度から臥位を検出することを特徴とする。本実施の形態における該姿勢検知手段1は、体軸が鉛直方向に対して70°以上傾斜した場合を臥位とし、それ以外の場合を非臥位として情報記憶手段3へ出力する。該姿勢検知手段1は自身の計測制御も行い本実施の形態においては1秒単位で検知動作を行い判定結果を情報記憶手段3へ出力する。 Here, the posture detection means 1 includes a uniaxial acceleration sensor, and detects the supine position from an angle formed by the body axis of the human body wearing the posture detection means 1 and the vertical direction. The posture detection means 1 in the present embodiment outputs the case where the body axis is tilted by 70 ° or more with respect to the vertical direction to the information storage means 3 as the lying position and the other cases as the non- lying position. The posture detection means 1 also performs its own measurement control, and in the present embodiment, performs a detection operation in units of one second and outputs a determination result to the information storage means 3.
また、上記人体活動量検知手段2は、1軸の加速度センサを備え、人体の運動を加速度として検出し、活動度を「低活動度」、「高活動度」の2水準の判定結果を情報記憶手段3へ出力する。該人体活動量検知手段2は自身の計測制御も行い本実施の形態においては1秒単位で検知動作を行い判定結果を情報記憶手段3へ出力する。 The human body activity amount detecting means 2 includes a uniaxial acceleration sensor, detects a human motion as an acceleration, and information on the determination result of two levels of activity “low activity” and “high activity”. Output to storage means 3. The human body activity amount detection means 2 also performs its own measurement control, and in the present embodiment, performs a detection operation in units of one second and outputs a determination result to the information storage means 3.
情報記憶手段3は、上記姿勢検知手段1と、上記人体活動量検知手段2と、計時手段4からの出力を受けて、上記姿勢検知手段1からの出力と、上記人体活動量検知手段2からの出力に時刻情報を付与し、記憶・蓄積をおこなう。 The information storage means 3 receives the output from the posture detection means 1, the human body activity amount detection means 2, and the time measuring means 4, and receives the output from the posture detection means 1 and the human body activity amount detection means 2. Time information is added to the output of and stored and stored.
睡眠時間検知手段5は、所定の時刻に上記情報記憶手段3において時刻情報を付与された姿勢情報と活動度情報から睡眠時間帯を判定し、上記情報蓄積手段3へ上記睡眠時間を出力する。睡眠時間帯の判定方法は、上記姿勢検知手段1からの出力が臥位であり、かつ、上記活動量検知手段2からの出力が「低活動度」であることに対応する時間帯をもって睡眠時間帯とすることを特徴とする。就寝時刻検知手段7は上記睡眠時間帯の起点となる時刻を就寝時刻として検知し、就寝時刻を上記情報蓄積手段3へ出力する。起床時刻検知手段6は上記睡眠時間の終点となる時刻を起床時刻として検知し、上記情報蓄積手段3へ出力する。このとき、情報蓄積手段3は就寝時刻と起床時刻とそれらの相対的関係としての睡眠時間を一連の睡眠行動としてひとつの配列として格納する。 The sleep time detection means 5 determines the sleep time zone from the posture information and the activity level information given the time information in the information storage means 3 at a predetermined time, and outputs the sleep time to the information storage means 3. The sleep time zone is determined by the time zone corresponding to the output from the posture detection means 1 being prone and the output from the activity amount detection means 2 being “low activity”. It is characterized by a belt. The bedtime detection means 7 detects the time that is the starting point of the sleep time zone as the bedtime, and outputs the bedtime to the information storage means 3. The wake-up time detection means 6 detects the time that is the end point of the sleep time as the wake-up time, and outputs it to the information storage means 3. At this time, the information storage means 3 stores the bedtime and the wake-up time and the sleep time as a relative relationship between them as a series of sleep behaviors as one array.
次に、睡眠評価手段8は、睡眠時間と、就寝時刻と、起床時刻とからなる配列(Ai,Bi,Ci)を情報記憶手段3から所定の配列数(N)に達するまで読み出し、睡眠時間と、起床時刻または就寝時刻との関連から睡眠リズムの評価をおこなう。 Next, the sleep evaluation means 8 reads an array (Ai, Bi, Ci) composed of sleep time, bedtime, and wake-up time from the information storage means 3 until a predetermined number of arrays (N) is reached, and sleep time The sleep rhythm is evaluated based on the relationship between the wake-up time and the bedtime.
そして、睡眠評価手段8は該評価方法の判定結果を報知手段9に出力する。
Then, the
報知手段9は、睡眠評価手段8からの出力を受け、その結果を使用者に報知する機能を有する。 The notification means 9 has a function of receiving the output from the sleep evaluation means 8 and notifying the user of the result.
図2は、本実施の形態の生態リズム評価装置を用いた際のある日の実際の生活行動と、姿勢出力、活動度出力、および睡眠時間検知手段5による睡眠時間帯判定結果との対応を示す例である。上段、中段、下段のグラフからなるが、上段が姿勢出力の結果、中段が活動度出力の結果、下段が実際の生活行動を目視により記録した結果である。各グラフの横軸は時刻を示し、上段および中段のグラフは、前記各出力の24時間の推移を示している。 FIG. 2 shows the correspondence between the actual life behavior on a certain day when using the ecological rhythm evaluation apparatus of the present embodiment, the posture output, the activity output, and the sleep time zone determination result by the sleep time detection means 5. It is an example to show. The graph is composed of upper, middle, and lower graphs. The upper graph is the result of posture output, the middle graph is the result of activity output, and the lower graph is the result of visual recording of actual living activities. The horizontal axis of each graph shows time, and the upper and middle graphs show the transition of each output over 24 hours.
中段の活動度出力の時刻軸上に示した枠は、睡眠時間検知手段5によって睡眠と判定された睡眠時間帯を示す。 The frame shown on the time axis of the activity output in the middle stage shows the sleep time zone determined as sleep by the sleep time detection means 5.
下段の実際の生活行動の記録において縦軸は記録の対象となった生活行動を示す。グラフ上で外出と帰宅の間に存在するプロットのない区間のみ、一連の外出行動として行動の記録は行わなかった区間である。 In the recording of actual living activities in the lower row, the vertical axis indicates the living activities that were recorded. In the graph, only a section having no plot existing between going out and returning home is a section in which no action is recorded as a series of going out actions.
図3に、本実施の形態の生活リズム評価装置を用いた睡眠リズムの評価方法を示す。睡眠評価手段8は、動作開始(START)に伴い、睡眠時間(A)と就寝時刻(B)と起床時刻(C)とからなる配列を情報記憶手段3から所定の配列数(N)に達するまで読み出す。次に就寝時刻の配列(Bi)と起床時刻の配列(Ci)についてそれぞれが出現する時刻帯を出現範囲(Vb、Vc)として特定し、就寝時刻の配列(Bi)の出現範囲(Vb)と起床時刻の配列(Ci)の出現範囲(Vc)とを大小比較する。このとき、就寝時刻の配列(Bi)の出現範囲(Vb)と起床時刻の配列(Ci)の出現範囲(Vc)は就寝時刻の配列(Bi)及び起床時刻の配列(Ci)のそれぞれの最大値と最小値の差でもよいし、分散あるいは偏差でもよい。本実施の形態においては前者の最大値と最小値の差とした。次に、就寝時刻の配列(Bi)の出現範囲(Vb)と起床時刻の配列(Ci)の出現範囲(Vc)との大小比較に基づき、就寝時刻の配列(Bi)、起床時刻の配列(Ci)のうち出現範囲の広い方を代表時刻配列(Vi)とし、その出現範囲を代表値(V)とする。つぎに該代表値(V)について所定の範囲(S)との比較を行い代表値(V)が所定の範囲(S)以下ならば規則的生活リズムの判定("Normal")を出力する。また、代表値(V)が所定の範囲(S)より大きい場合は不規則な生活リズムと見なし、次のステップへ移行する。所定の範囲(S)とは、人間の睡眠行動の発現する標準的な時間であり、本実施の形態においては所定の範囲(S)は8時間とした。代表値(V)が所定の範囲(S)より大きい場合のフローにおいては、まず睡眠時間の配列(Ai)を対象として最大値の探索を行い、該最大値をAxとする。次のステップにおいて、該最大値(Ax)と同じ引数を持つ代表時刻(Vx)を代表時刻配列(Vi)から特定する。そして、次のステップにおいて代表時刻(Vx)と基準時刻との時間差としての位相差(T)を算出する。このときの基準時刻とは人間の睡眠行動として、健康上一般的で規則的な就寝時刻または起床時刻として設定される。次のステップにおいて、異常な生活リズムの判定として"Abnormal"および、睡眠リズムのずれを位相差として出力し、一連のフローを終了する。 FIG. 3 shows a sleep rhythm evaluation method using the life rhythm evaluation apparatus of the present embodiment. The sleep evaluation means 8 reaches the predetermined number of arrangements (N) from the information storage means 3 with the start of operation (START), which is composed of sleep time (A), bedtime (B), and wake-up time (C). Read until. Next, the time zone where each appears for the bedtime array (Bi) and the bedtime array (Ci) is identified as the appearance range (Vb, Vc), and the bedtime array (Bi) appearance range (Vb) The appearance range (Vc) of the wake-up time sequence (Ci) is compared in size. At this time, the appearance range (Vb) of the bedtime array (Bi) and the appearance range (Vc) of the bedtime array (Ci) are the maximum of the bedtime array (Bi) and the bedtime array (Ci), respectively. It may be the difference between the value and the minimum value, or the variance or deviation. In this embodiment, the difference between the former maximum value and the minimum value is used. Next, based on the size comparison of the appearance range (Vb) of the bedtime arrangement (Bi) and the appearance range (Vc) of the arrangement of the wakeup time (Ci), the arrangement of the bedtime (Bi), the arrangement of the wakeup time ( Of Ci), the wider appearance range is set as the representative time array (Vi), and the appearance range is set as the representative value (V). Next, the representative value (V) is compared with a predetermined range (S), and if the representative value (V) is equal to or smaller than the predetermined range (S), a regular life rhythm determination ("Normal") is output. When the representative value (V) is larger than the predetermined range (S), it is regarded as an irregular life rhythm, and the process proceeds to the next step. The predetermined range (S) is a standard time during which human sleep behavior is expressed. In the present embodiment, the predetermined range (S) is 8 hours. In the flow when the representative value (V) is larger than the predetermined range (S), first, the maximum value is searched for the sleep time array (Ai), and the maximum value is set to Ax. In the next step, the representative time (Vx) having the same argument as the maximum value (Ax) is specified from the representative time array (Vi). In the next step, a phase difference (T) as a time difference between the representative time (Vx) and the reference time is calculated. The reference time at this time is set as a regular sleeping time or wake-up time, which is general for health, as human sleeping behavior. In the next step, “Abnormal” is output as a determination of an abnormal life rhythm, and a sleep rhythm shift is output as a phase difference, and the series of flows is terminated.
上述のように、本実施の形態では、睡眠時間の最大値(Ax)の時の代表時刻と基準時刻の比較を行い、生体リズムの異常判定を行っている。これは、不規則な睡眠パターンでは図5のように起床時刻が(Vi=)0:00〜24:00の間に分散している場合において、(Vi)の平均値または標準偏差と基準時刻とを比較すると生活リズムの異常判定の正確性に欠けるためである。 As described above, in the present embodiment, the representative time at the time of maximum sleep time (Ax) is compared with the reference time, and biological rhythm abnormality determination is performed. In the irregular sleep pattern, when the wake-up time is distributed between (Vi =) 0: 00-24: 00 as shown in FIG. 5, the average value or standard deviation of (Vi) and the reference time This is because there is a lack of accuracy in determining abnormalities in life rhythms.
従って、(Vx)と基準時刻との比較は、異常睡眠の人と正常睡眠の人の最も睡眠が安定した(睡眠時間が長い)時の起床時刻または就寝時刻の比較を行うことで、睡眠パターンが不規則性が高い人間に対する生体リズムの安定した異常判定が可能になります。 Therefore, the comparison between (Vx) and the reference time is done by comparing the wake-up time or bedtime when the sleep of the person with abnormal sleep and the person with normal sleep is most stable (sleep time is long). However, it is possible to detect abnormal abnormalities of biological rhythm for humans with high irregularity.
以上のように本発明は、睡眠行動における就寝時間または起床時間のズレ量の大きさから生体リズムの正常/異常を判定することで、外部の環境による判定誤差の少ない生体リズム判定が可能となる。 As described above, the present invention makes it possible to perform biological rhythm determination with little determination error due to the external environment by determining normality / abnormality of biological rhythm based on the amount of shift in sleeping time or wake-up time in sleep behavior. .
また、上述のように少なくとも加速度センサ及び計時手段を有することで上記睡眠行動の検知及び評価が可能となり、簡便で非侵襲性の高い生体リズムの評価を簡便に行うことができるものである。 Further, as described above, by having at least an acceleration sensor and a time measuring means, the sleep behavior can be detected and evaluated, and a simple and non-invasive biological rhythm can be easily evaluated.
図4は、実際に本実施の形態の生体リズム評価装置を用いて生活の不規則なある男子大学生の18日間にわたる起床時刻と就寝時刻に関する記録である。横軸を記録した日数、縦軸を時刻とするダブルプロットである。「黒四角」が就寝、「□」が起床を示し就寝時刻からはじまり起床するまでが睡眠時間となる。該男子大学生においては就寝時刻、起床時刻の散らばりは8時間を超え、それらの発生が規則的でないことを示す。図5は、該睡眠行動について図3に示したフローに従い、睡眠時間と起床時刻を検出し、それらの対応を示したものである。縦軸が睡眠時間、横軸が各睡眠時間を構成する起床時刻である。「●」は図4に示した該男子大学生のものである。「□」は別の学生のもので、標準的睡眠リズムをしめすものである。「□」の発生する平均的時刻を基準時刻として、「●」の最大値との時間差を位相差(T)として示した。このように、本実施の形態における生活リズム評価方法をもちいると睡眠という行動パターンを用いることで、概日リズムを表現した例である。 FIG. 4 is a record relating to the wake-up time and bedtime of a male university student who has an irregular life using the biological rhythm evaluation apparatus of the present embodiment over 18 days. It is a double plot in which the horizontal axis represents the number of days recorded and the vertical axis represents time. “Black square” indicates bedtime, “□” indicates wake up, and the sleep time is from the bedtime until wake up. In the male college student, the dispersion of bedtime and wake-up time exceeds 8 hours, indicating that their occurrence is not regular. FIG. 5 shows the correspondence between the sleep time and the wake-up time detected according to the flow shown in FIG. 3 for the sleep behavior. The vertical axis is the sleep time, and the horizontal axis is the wake-up time that constitutes each sleep time. “●” is for the male university student shown in FIG. “□” is from another student and indicates a standard sleep rhythm. The average time at which “□” occurs is taken as the reference time, and the time difference from the maximum value of “●” is shown as the phase difference (T). As described above, when the lifestyle rhythm evaluation method according to the present embodiment is used, the circadian rhythm is expressed by using the behavior pattern of sleep.
これら、図4及び図5は、上記報知手段9により表示可能な表現の例である。 FIGS. 4 and 5 are examples of expressions that can be displayed by the notification means 9.
このような方法で報知することで、生体リズム評価の被験者に対して視覚的かつ定量的に生体リズムのズレを伝えることが可能になる。 By notifying by such a method, it becomes possible to convey the deviation of the biological rhythm visually and quantitatively to the subject of the biological rhythm evaluation.
なお、本実施の形態における姿勢検知手段1、および、人体活動量検知手段2は、同一の加速度センサから構成されているが、同一である必要は無く、個々に加速度センサを備えていてもよい。 Note that the posture detection means 1 and the human body activity amount detection means 2 in the present embodiment are configured by the same acceleration sensor, but need not be the same, and may each include an acceleration sensor. .
また、姿勢検知手段1においては体軸と鉛直方向との成す角度が検出でき、かつ、その角度が90°である場合が、臥位に相当する範囲内に必ず含まれていればよい。 Further, the posture detection means 1 can detect the angle formed by the body axis and the vertical direction, and the case where the angle is 90 ° is always included in the range corresponding to the supine position.
また、活動量検知手段2においては、すくなくとも睡眠時の活動度を含む活動度水準が設定されていればよい。 In the activity amount detection means 2, an activity level including at least the activity level during sleep is set.
1 姿勢検知手段
2 人体活動量検知手段
3 情報記憶手段
4 計時手段
5 睡眠時間検知手段
6 起床時刻検知手段
7 就寝時刻検知手段
8 睡眠評価手段
9 報知手段
DESCRIPTION OF
Claims (7)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2003274692A JP2005034402A (en) | 2003-07-15 | 2003-07-15 | Biorhythm evaluating device and biorhythm evaluating method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2003274692A JP2005034402A (en) | 2003-07-15 | 2003-07-15 | Biorhythm evaluating device and biorhythm evaluating method |
Publications (1)
Publication Number | Publication Date |
---|---|
JP2005034402A true JP2005034402A (en) | 2005-02-10 |
Family
ID=34211579
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2003274692A Pending JP2005034402A (en) | 2003-07-15 | 2003-07-15 | Biorhythm evaluating device and biorhythm evaluating method |
Country Status (1)
Country | Link |
---|---|
JP (1) | JP2005034402A (en) |
Cited By (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006296940A (en) * | 2005-04-25 | 2006-11-02 | Denso Corp | Biosensor, pulse wave sensor, sleep information processing method, sleep information processing device, program and recording medium |
JP2011206585A (en) * | 2011-07-25 | 2011-10-20 | Panasonic Electric Works Co Ltd | Activity monitor |
WO2015129975A1 (en) * | 2014-02-26 | 2015-09-03 | 고려대학교 산학협력단 | It-based circadian biological rhythm management system and method thereof |
JP2016515463A (en) * | 2013-04-15 | 2016-05-30 | ニューロメトリックス・インコーポレーテッド | Transcutaneous electrical nerve stimulation device that automatically detects the user's sleep / wake state |
JP2017517327A (en) * | 2014-06-12 | 2017-06-29 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | Circadian detection system |
KR20180046434A (en) * | 2016-10-27 | 2018-05-09 | 주식회사 메디칼엑셀런스 | Mobile device for collecting sleeping information, method for collecting sleeping information, and application thereof |
US10130810B2 (en) | 2013-03-29 | 2018-11-20 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulator with user gesture detector and electrode-skin contact detector, with transient motion detector for increasing the accuracy of the same |
US10159835B2 (en) | 2013-03-29 | 2018-12-25 | Neurometrix, Inc. | Detecting cutaneous electrode peeling using electrode-skin impedance |
USD837394S1 (en) | 2017-07-11 | 2019-01-01 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulation (TENS) device |
US10279179B2 (en) | 2013-04-15 | 2019-05-07 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulator with automatic detection of user sleep-wake state |
US10293159B2 (en) | 2011-11-15 | 2019-05-21 | Neurometrix, Inc. | Measuring the “on-skin” time of a transcutaneous electrical nerve stimulator (TENS) device in order to minimize skin irritation due to excessive uninterrupted wearing of the same |
US10335595B2 (en) | 2011-11-15 | 2019-07-02 | Neurometrix, Inc. | Dynamic control of transcutaneous electrical nerve stimulation therapy using continuous sleep detection |
US10384063B2 (en) | 2014-04-15 | 2019-08-20 | Neurometrix, Inc. | Apparatus and method for automated compensation of transcutaneous electrical nerve stimulation for temporal fluctuations such as circadian rhythms |
USD861903S1 (en) | 2018-05-15 | 2019-10-01 | Neurometrix, Inc. | Apparatus for transcutaneous electrical nerve stimulation |
JP2019170773A (en) * | 2018-03-29 | 2019-10-10 | セイコーエプソン株式会社 | Biological information measuring apparatus and biological information processing method |
USD865986S1 (en) | 2017-09-21 | 2019-11-05 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulation device strap |
US10780269B2 (en) | 2011-11-15 | 2020-09-22 | Neurometrix, Inc. | Apparatus and method for relieving pain using transcutaneous electrical nerve stimulation |
CN111714090A (en) * | 2020-06-19 | 2020-09-29 | 深圳市恬境科技有限公司 | Human body biological rhythm health management method and system |
US10864365B2 (en) | 2011-11-15 | 2020-12-15 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulation using novel unbalanced biphasic waveform and novel electrode arrangement |
US10940311B2 (en) | 2013-03-29 | 2021-03-09 | Neurometrix, Inc. | Apparatus and method for button-free control of a wearable transcutaneous electrical nerve stimulator using interactive gestures and other means |
US11058877B2 (en) | 2017-05-30 | 2021-07-13 | Neurometrix, Inc. | Apparatus and method for the automated control of transcutaneous electrical nerve stimulation based on current and forecasted weather conditions |
US11235142B2 (en) | 2016-12-23 | 2022-02-01 | Neurometrix, Inc. | “Smart” electrode assembly for transcutaneous electrical nerve stimulation (TENS) |
US11247040B2 (en) | 2011-11-15 | 2022-02-15 | Neurometrix, Inc. | Dynamic control of transcutaneous electrical nerve stimulation therapy using continuous sleep detection |
US11259744B2 (en) | 2011-11-15 | 2022-03-01 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulator with automatic detection of leg orientation and leg motion for enhanced sleep analysis, including enhanced transcutaneous electrical nerve stimulation (TENS) using the same |
CN116072253A (en) * | 2023-03-16 | 2023-05-05 | 江苏铁人科技有限公司 | Real-time human body data capturing system |
US11883661B2 (en) | 2018-12-07 | 2024-01-30 | Neurometrix, Inc. | Intelligent determination of therapeutic stimulation intensity for transcutaneous electrical nerve stimulation |
-
2003
- 2003-07-15 JP JP2003274692A patent/JP2005034402A/en active Pending
Cited By (38)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4595651B2 (en) * | 2005-04-25 | 2010-12-08 | 株式会社デンソー | Biological sensor, sleep information processing method, and sleep information processing apparatus |
US7998079B2 (en) | 2005-04-25 | 2011-08-16 | Denso Corporation | Biosensor, sleep information processing method and apparatus, computer program thereof and computer readable storage medium thereof |
JP2006296940A (en) * | 2005-04-25 | 2006-11-02 | Denso Corp | Biosensor, pulse wave sensor, sleep information processing method, sleep information processing device, program and recording medium |
JP2011206585A (en) * | 2011-07-25 | 2011-10-20 | Panasonic Electric Works Co Ltd | Activity monitor |
US10293159B2 (en) | 2011-11-15 | 2019-05-21 | Neurometrix, Inc. | Measuring the “on-skin” time of a transcutaneous electrical nerve stimulator (TENS) device in order to minimize skin irritation due to excessive uninterrupted wearing of the same |
US10780269B2 (en) | 2011-11-15 | 2020-09-22 | Neurometrix, Inc. | Apparatus and method for relieving pain using transcutaneous electrical nerve stimulation |
US11717682B2 (en) | 2011-11-15 | 2023-08-08 | Neurometrix, Inc | Apparatus and method for relieving pain using transcutaneous electrical nerve stimulation |
US11511106B2 (en) | 2011-11-15 | 2022-11-29 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulation using novel unbalanced biphasic waveform and novel electrode arrangement |
US11259744B2 (en) | 2011-11-15 | 2022-03-01 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulator with automatic detection of leg orientation and leg motion for enhanced sleep analysis, including enhanced transcutaneous electrical nerve stimulation (TENS) using the same |
US11247040B2 (en) | 2011-11-15 | 2022-02-15 | Neurometrix, Inc. | Dynamic control of transcutaneous electrical nerve stimulation therapy using continuous sleep detection |
US10864365B2 (en) | 2011-11-15 | 2020-12-15 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulation using novel unbalanced biphasic waveform and novel electrode arrangement |
US10335595B2 (en) | 2011-11-15 | 2019-07-02 | Neurometrix, Inc. | Dynamic control of transcutaneous electrical nerve stimulation therapy using continuous sleep detection |
US11730959B2 (en) | 2013-03-29 | 2023-08-22 | Neurometrix, Inc. | Apparatus and method for button-free control of a wearable transcutaneous electrical nerve stimulator using interactive gestures and other means |
US11191443B2 (en) | 2013-03-29 | 2021-12-07 | Neurometrix, Inc. | Detecting cutaneous electrode peeling using electrode-skin impedance |
US10159835B2 (en) | 2013-03-29 | 2018-12-25 | Neurometrix, Inc. | Detecting cutaneous electrode peeling using electrode-skin impedance |
US10940311B2 (en) | 2013-03-29 | 2021-03-09 | Neurometrix, Inc. | Apparatus and method for button-free control of a wearable transcutaneous electrical nerve stimulator using interactive gestures and other means |
US10130810B2 (en) | 2013-03-29 | 2018-11-20 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulator with user gesture detector and electrode-skin contact detector, with transient motion detector for increasing the accuracy of the same |
US11247052B2 (en) | 2013-04-15 | 2022-02-15 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulator with automatic detection of user sleep-wake state |
US10279179B2 (en) | 2013-04-15 | 2019-05-07 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulator with automatic detection of user sleep-wake state |
JP2019205900A (en) * | 2013-04-15 | 2019-12-05 | ジーエスケイ コンシューマー ヘルスケア エス.エイ. | Transcutaneous electrical nerve stimulation device which automatically detects user's slept/wake state |
JP2016515463A (en) * | 2013-04-15 | 2016-05-30 | ニューロメトリックス・インコーポレーテッド | Transcutaneous electrical nerve stimulation device that automatically detects the user's sleep / wake state |
JP7083086B2 (en) | 2013-04-15 | 2022-06-10 | ニューロメトリックス・インコーポレーテッド | Transcutaneous electrical nerve stimulator that automatically detects the user's sleep-wakefulness |
WO2015129975A1 (en) * | 2014-02-26 | 2015-09-03 | 고려대학교 산학협력단 | It-based circadian biological rhythm management system and method thereof |
US10384063B2 (en) | 2014-04-15 | 2019-08-20 | Neurometrix, Inc. | Apparatus and method for automated compensation of transcutaneous electrical nerve stimulation for temporal fluctuations such as circadian rhythms |
JP2017517327A (en) * | 2014-06-12 | 2017-06-29 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | Circadian detection system |
KR101864358B1 (en) | 2016-10-27 | 2018-06-08 | 주식회사 메디칼엑셀런스 | Mobile device for collecting sleeping information, method for collecting sleeping information, and application thereof |
KR20180046434A (en) * | 2016-10-27 | 2018-05-09 | 주식회사 메디칼엑셀런스 | Mobile device for collecting sleeping information, method for collecting sleeping information, and application thereof |
US11235142B2 (en) | 2016-12-23 | 2022-02-01 | Neurometrix, Inc. | “Smart” electrode assembly for transcutaneous electrical nerve stimulation (TENS) |
US11058877B2 (en) | 2017-05-30 | 2021-07-13 | Neurometrix, Inc. | Apparatus and method for the automated control of transcutaneous electrical nerve stimulation based on current and forecasted weather conditions |
USD837394S1 (en) | 2017-07-11 | 2019-01-01 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulation (TENS) device |
USD865986S1 (en) | 2017-09-21 | 2019-11-05 | Neurometrix, Inc. | Transcutaneous electrical nerve stimulation device strap |
JP7069959B2 (en) | 2018-03-29 | 2022-05-18 | セイコーエプソン株式会社 | Biological information measuring device and biometric information processing method |
JP2019170773A (en) * | 2018-03-29 | 2019-10-10 | セイコーエプソン株式会社 | Biological information measuring apparatus and biological information processing method |
USD861903S1 (en) | 2018-05-15 | 2019-10-01 | Neurometrix, Inc. | Apparatus for transcutaneous electrical nerve stimulation |
US11883661B2 (en) | 2018-12-07 | 2024-01-30 | Neurometrix, Inc. | Intelligent determination of therapeutic stimulation intensity for transcutaneous electrical nerve stimulation |
CN111714090B (en) * | 2020-06-19 | 2023-06-20 | 深圳市恬境健康管理有限公司 | Human biological rhythm health management method and system |
CN111714090A (en) * | 2020-06-19 | 2020-09-29 | 深圳市恬境科技有限公司 | Human body biological rhythm health management method and system |
CN116072253A (en) * | 2023-03-16 | 2023-05-05 | 江苏铁人科技有限公司 | Real-time human body data capturing system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP2005034402A (en) | Biorhythm evaluating device and biorhythm evaluating method | |
EP3367883B1 (en) | Monitoring activities of daily living of a person | |
JP6053802B2 (en) | A monitoring system that monitors patients and detects patient delirium | |
US8608655B2 (en) | Sleep evaluation device | |
US9131854B2 (en) | Apparatus and method of measuring blood pressure of examinee while detecting body activity of examinee | |
JP4421507B2 (en) | Sleepiness prediction apparatus and program thereof | |
CN102448368B (en) | Method and system for providing behavioural therapy for insomnia | |
JP2021191502A (en) | Evaluation device | |
JP2017503566A (en) | Infant monitoring device | |
US20150289803A1 (en) | Method and system of sleep detection | |
US20200265950A1 (en) | Biological information processing system, biological information processing method, and computer program recording medium | |
US20230346306A1 (en) | Methods and systems to detect eating | |
US10172530B2 (en) | Biological information processing system and method of controlling biological information processing system | |
Ibáñez et al. | Sleep assessment devices: types, market analysis, and a critical view on accuracy and validation | |
CN103052956A (en) | Method for display and navigation to clinical events | |
JP2012170624A (en) | Sleep evaluation device, and display method in sleep evaluation device | |
JP2014230679A (en) | Detection method, detection device, and detection program | |
JP2007190126A (en) | Sleep information management system | |
Guettari et al. | Design and first evaluation of a sleep characterization monitoring system using a remote contactless sensor | |
US20220151549A1 (en) | Contactless monitoring of sleep activities and body vital signs via seismic sensing | |
JP4598581B2 (en) | Sleep diary creation support device | |
JP6518294B2 (en) | Sleep evaluation device and program | |
US20240000375A1 (en) | System and method for classifying and using chronotypes | |
Edgcomb et al. | Estimating daily energy expenditure from video for assistive monitoring | |
Kimura et al. | Development of an unobtrusive vital signs detection system using conductive fiber sensors |