JP5046364B2 - Sleep condition evaluation system and program thereof - Google Patents

Description

  The present invention relates to a sleep state evaluation system and a program for performing sleep state evaluation and advice for improving the sleep state.

Although each person can determine to some extent whether or not his / her sleep status is good, it is not possible to determine to what extent each person is objectively evaluated. For those who cannot sleep well, it is of great concern how they can sleep well and how they can sleep well. For this reason, a sleep situation evaluation system that can give an accurate evaluation on the sleep situation and can give advice on an appropriate improvement measure is provided (for example, Patent Document 1).
JP 2003-216734 A (paragraphs 0012 and 0013, FIG. 1)

  By the way, since the device disclosed in Patent Document 1 has evaluated the sleep situation based on the report on sleep based on the questionnaire, when the actual situation differs from the subjective report, In some cases, incorrect information was included in the judgment.

  The present invention has been made in view of the above points, and its purpose is to provide a sleep state evaluation system that accurately evaluates a sleep state by using objective information called biological information together with the sleep state evaluation system. To provide a program.

In order to achieve the above object, in the invention of the sleep condition evaluation system according to claim 1, a report information acquisition unit that acquires report information by a report on the sleep of the evaluated person, and a living body that reflects the sleep state of the evaluated person and objective information acquisition unit to acquire information, the sleep situation based on the evaluation and before Symbol biometric information of sleep situation based on the answer that corresponds to the subjective questions to the realities of daily sleep of the evaluators of the said report information and a evaluation section by summing the evaluation at a predetermined ratio to evaluate the sleep status of the evaluator,該評 value unit is intended to evaluate the plurality Attraction sleep status, the plurality of genres the genre cormorants and Chi the monkey tell information is relevant to the said raw material information, subjective proportion of evaluation of sleep status based a predetermined percentage to the raw body information is for realities of everyday sleep of the evaluator Vs questions Characterized in that than the proportion of the evaluation of sleep status based on the answers set to be greatly assessing sleep status.

According to the invention of the sleep status evaluation system of claim 1, both the evaluation based on the objective information called biological information reflecting the sleep status of the evaluated person and the report information of the evaluated person are used together. It is possible to provide a sleep state evaluation system that accurately evaluates a sleep state in a form in which information is interpolated with each other . Further, according to the invention of the sleep status evaluation system of claim 1, when there is something that can obtain biological information reflecting the sleep status of the person to be evaluated, an objective and accurate evaluation can be performed by increasing the ratio. It can be carried out.

  According to a second aspect of the invention of the sleep status evaluation system of the first aspect, the biological information is composed of one or both of body motion information and heart rate information.

  According to the invention of the sleep state evaluation system of claim 2, it is possible to correspond to the evaluation object and the number thereof depending on the information used as biological information. For example, any of body motion information and heart rate information like a photoelectric pulse wave sensor can be used. By using a sensor that can be acquired, it is possible to easily change the evaluation target and the number thereof.

In the invention of the sleep status evaluation system according to claim 3, in the invention of claim 1 or 2 , the evaluation unit is a genre related to the report information and the biological information among the plurality of genres, and a deep sleep level, sleep It is characterized by having at least one of the following: depth, good awakening, good sleep, a lot of body movements, and a long sleep time.

According to the invention of the sleep status evaluation system of claim 3 , based on the biological information, at least one of the degree of deep sleep, the depth of sleep, the goodness of falling asleep and waking up, the amount of body movement, and the length of sleep time Can be objectively evaluated.

According to the invention of the sleep condition evaluation system of claim 4, in the invention of claim 3, heart rate information is used as the biological information, and the evaluation unit previously stores the goodness of waking up and the goodness of sleep as the heartbeat information. Evaluation is performed by performing pattern analysis with reference heart rate information.

According to the invention of the sleep state evaluation system of claim 4, the goodness of falling asleep and waking up can be objectively evaluated based on the heartbeat information.

In the invention of the sleep condition evaluation system according to claim 5, in the invention of claim 4 , the evaluation unit evaluates the deep sleep based on an average value of the heartbeat information.

According to the invention of the sleep state evaluation system of claim 5, the degree of tension during sleep can be objectively evaluated.

The invention sleep status evaluation program according to claim 6, by being executed on a computer system, the computer device reporting information acquisition unit acquires reporting information by declaration regarding sleep of the evaluators and the declared information Evaluation of sleep status based on answers to subjective questions about the actual state of daily sleep, and evaluation of sleep status based on the biological information from the objective information acquisition unit that acquires biological information reflected by the sleep status of the person being evaluated The evaluation unit is configured to evaluate the sleep state of the person to be evaluated by adding the price at a predetermined ratio , and the evaluation unit evaluates a plurality of genres with respect to the sleep state. For the genre related to the reporting information and the biological information, the ratio of the evaluation of the sleep state based on the biological information is a predetermined ratio, which is the main factor of daily sleep. Set to be larger than the proportion of the evaluation of sleep status based on answers to the questions and evaluating sleep situation.

According to the invention of the sleep situation evaluation program of claim 6 , both information is obtained by using the evaluation based on objective information called biological information reflecting the evaluator's sleep situation and the reportee's report information together. Can be realized by a computer device that accurately evaluates the sleep state in a form interpolated between each other.

  The invention relating to the sleep status evaluation system uses both evaluation based on objective information called biological information that reflects the sleep status of the evaluator and the reporting information of the evaluator, so that both information interpolate each other. In this way, there is an effect that it is possible to provide a sleep situation evaluation system that accurately evaluates the sleep situation.

  Moreover, the invention which concerns on a sleep condition evaluation program uses both evaluation based on the objective information called biometric information reflecting an evaluator's sleep condition, and report information of a to-be-evaluated person, and both information mutually There is an effect that it is possible to realize a sleep state evaluation system that accurately evaluates a sleep state in an interpolated form by a computer device.

  Hereinafter, the present invention will be described with a sleep condition evaluation system according to an embodiment.

Sleep status evaluation system of this embodiment, as shown in FIG. 1, the evaluator responses to subjective questions to the evaluator, according to the inquiry for the last night behavior and psychosomatic state of the evaluator answers, further The data input device 1 which is a reporting information acquisition unit that acquires the evaluated person's personal data as the reporting information of the evaluated person, and the body motion and heart rate of the evaluated person as biological information reflecting the sleep status of the evaluated person who is sleeping In order to measure the vibration interval, for example, the sensor 2 such as a photoelectric pulse wave sensor worn on the wrist of the person to be evaluated, and the heartbeat vibration interval is detected from the waveform pattern of the pulse wave measured by the sensor 2 and the person to be evaluated. Data processing device 3 having a function as an objective information acquisition unit for detecting body movement from the disturbance (increase in amplitude) of the waveform pattern that occurs when the arm is moved by turning over, etc., and data input Dress The past data used at the time of the past evaluation of the person to be evaluated, which is stored in the data storage unit 41 based on the data which is each report information input from 1 and the information which will be described later in the measurement data processing device 3 The sleep condition evaluation apparatus 4 is configured to perform the sleep condition evaluation of the person to be evaluated based on the evaluation result and present the evaluation result, the measurement result, and the like to the person to be evaluated.

  The data input device 1 is composed of input means such as a pointing device and a keyboard using a GUI, for personal information including at least the state of sleeping environment such as gender, age, dwelling, bedroom, etc. It is used to input answers corresponding to subjective questions, last night's behavior to the person being evaluated, and answers corresponding to questions such as mental and physical conditions, and the input data is taken into the sleep condition evaluation apparatus 4.

The measurement data processing device 3 reads the measurement data (waveform pattern) from the sensor 2 and the timing data of the built-in clock unit (not shown), detects the heartbeat vibration interval and counts the number of body movements from the measurement data of the sensor 2. Measurement data reading unit 30 that performs time counting from time measurement data, and analyzes heartbeat vibration interval data, body movement frequency data, and time count data read from measurement data reading unit 30 to analyze the number of lying down, sleeping time, falling asleep Measurement data analysis unit 31 that analyzes time, sleep time, wake-up time, sleep state, sleep state, deep sleep state, etc. as described below, and various data based on the analysis results in the measurement data analysis unit 31 and sleep status evaluation device analyzes data output unit 32 that will be directed to the 4, and a database (not shown) that stores the statistical data to be described later in advance.

  The sleep condition evaluation device 4 includes a data input unit 40 for inputting each data output from the data input device 1 and the measurement data processing device 3, a data storage unit 41, a health level determination unit 42, and a cause analysis unit. 43, a display 45, and a display data generation unit 44 that generates display data.

  The health level determination unit 42 includes return data indicating the last night's behavior and mind and body state taken by the data input device 1, return data corresponding to subjective questions, and return information including personal data, and the measurement data processing device 3. The data based on the analysis results (objective data) are integrated to determine the health level of sleep.

  The cause analysis unit 43 performs cause analysis based on the health level determination result (or past data stored in the data storage unit 41) in the health level determination unit 42, and generates advice content to be presented to the evaluated person. .

  The display data generation unit 44 uses the data input device 1 to display the data input screen using the GUI for inputting the above-described answers and personal information, and the health level determination by the health level determination unit 42 As a result, display data for displaying the analysis result of the cause analysis unit 43 and the advice content on the display 45 is generated.

  1 shows a configuration in which each of the devices 1, 3, and 4 is provided independently. However, in practice, it is configured by a single computer device, for example, a measurement data analysis unit 31, a health degree determination unit 42, The cause analysis unit 43 and the display data generation unit 44 are functions realized by a program executed by the central processing unit of the computer device. The function of the measurement data analysis unit 31, the function of the health degree determination unit 42, and the cause The function of the analysis unit 43 constitutes an evaluation unit.

  In the case of being configured by one computer device, the measurement data reading unit 30 and the data input unit 40 corresponding to the data input device 1 are configured by an I / O device provided in the computer device, and the analysis data output unit 32 and this The corresponding data input unit 40 may be provided as a function of the measurement data analysis unit 31 realized by the central processing unit. In this case, it is assumed that a program for displaying an operation for the person to be evaluated and a guidance menu for inputting an answer on the display 45 when the system is started is also installed in the central processing unit, and the database and data of the measurement data processing device 3 The storage unit 41 is configured by an external storage device such as a hard disk device.

Further, the data input device 1 and the measurement data processing device 3 are configured by a user computer device or a single function device owned by the person to be evaluated, and the sleep state evaluation device 4 is configured by a server computer device provided on the service provider side. and, and go to exchange data through a network, such as the two devices in Thane Tsu preparative may be allowed to directly connect with a communication cable, a communication unit for data communication to each in this case It shall be.

  When connecting through a network, the server computer device obtains measurement data processing results, response data, and personal data from the user computer device, and also provides the health degree judgment result, cause, advice content, etc. It can be sent from a device to a user computer device and displayed on a display of the user computer device.

  Next, the operation of the present embodiment will be described with reference to the flowcharts of FIGS.

  First, when the person to be evaluated starts the sleep state evaluation device 4 as shown in FIG. 2 (S100), the sleep state evaluation device 4 displays the health determination result stored in the data storage unit 41 by the person to be evaluated. A screen for selecting whether to evaluate based on past data or to evaluate based on new measurement data of heartbeat / body motion is displayed on the display 45, and prompts the person to be evaluated to select (S101).

  Here, when the person to be evaluated selects the evaluation based on the new measurement data by the data input device 1, data acquisition processing (S102) of the result measured by the measurement data processing device 3 last night is performed.

  Here, an operation for obtaining data on last night's sleep of the evaluator using the measurement data processing device 3 will be described.

  The person to be evaluated attaches the sensor 2 connected to the measurement data processing device 3 and then instructs to start measurement and enters the bed. Here, when the measurement data processing device 3 and the sleep condition evaluation device 4 are configured by one computer device, a measurement application is started on the computer device. When the measurement data processing device 3 is configured independently of the sleep state evaluation device 4, the measurement data processing device 3 may be operated alone.

  The sensor 2 is connected to the measurement data processing device 3 by wire or wireless. However, the sensor 2 and the measurement data processing device 3 do not have to be connected in advance. For example, during sleep, measurement data is sequentially accumulated in the sensor 2 and the sensor 2 after waking up is connected to the measurement data processing device 3. Then, download of measurement data may be started.

  When the measurement start instruction is issued, the measurement data processing device 3 starts the measurement operation (S1) as shown in FIG.

When the measurement data processing device 3 starts its operation, it starts downloading the measurement data (S2). In this case, the measurement data reading unit 30 in the measurement data processing device 3, the time counting starts from the measurement start based on the time data of the internal clock unit and (S3a), the number of body movements count from the measurement data of the sensor 2 start and (S3b), carried out respectively the start detect the heartbeat vibration interval (S3c).

  And the measurement data analysis part 31 performs the following analysis processing from the above-mentioned body motion frequency and heartbeat vibration interval.

That is, from the count value of the number of body movements and the value of the heartbeat vibration interval, the number of body movements per unit time is calculated (S4) and the change of the heartbeat vibration interval is calculated (S5), and the calculated number of body movements (A) Based on the number of body movements data (S6) obtained from the above, the number of turns (number of body movements) is determined and obtained (S7), and the statistical data of the number of turns turned in advance is stored (S8). A score associated with the number of times the person has been turned over is assigned based on the number of turns turned over (number of body movements) and the statistical data (number of body movements serving as a reference) (S9). This score is the result of determining the number of rollovers (C 1 ) .

  The body movement disappearance is checked from the calculated value (A) of the number of body movements (S10), and the continuation of body movement is checked (S11).

  On the other hand, a numerical analysis is performed from the change calculation of the heartbeat vibration interval (S12), a time-series autonomic nerve activity state (B) is obtained from this numerical analysis (S13), and the parasympathetic nerve is dominant from this autonomic nerve activity state (B). It is checked whether or not (S14). If it is dominant and it is determined that the body movement has been lost in the above-described body movement loss check, “sleeping” is determined, and this sleep time determination is performed based on the time count value (M) (S15). J) is output.

  Here, the above-described falling asleep is determined when body motion does not appear even after a predetermined time (for example, 15 minutes) has elapsed since the disappearance of body motion.

  Further, it is checked whether the sympathetic nerve is dominant from the autonomic nerve activity state (B) (S16). If it is determined that the body movement is continued in the above-described check of continuation of body movement, the wake-up time is determined based on the time count value (M) as a wake-up (S17), and the wake-up time determination result (K) Is output.

  Then, the sleep time of the person to be evaluated is calculated from the sleep time and the wake-up time (S18), the statistical data of the sleep time stored in advance is referred to (S19), and the previously obtained sleep time and statistical data are calculated. The score corresponding to the sleep time of the person to be evaluated is assigned (S20). This score is output as a sleep time determination result (D), and the calculated sleep time is output as a sleep time calculation value (L).

  Further, the sustainability of the parasympathetic nerve superiority before and after going to bed is obtained from the autonomic nerve activity state (B) based on the heartbeat information (S21), and the persistence of the parasympathetic nerve before and after going to bed stored in advance (based on the heartbeat information) Persistence) statistical data is referred to (S22), and a score is given by pattern analysis of the previously determined parasympathetic dominance before and after bedtime and parasympathetic dominance before and after bedtime of the subject. (S23). This score is output as a determination result (F) of a sleep state (good sleep).

  Furthermore, the sympathetic nerve continuity before and after getting up is obtained from the autonomic nerve activity state (B) based on the heart rate information (S24), and the statistical data on the sympathetic nerve dominance before and after getting up is stored in advance. (S25), a score is given by pattern analysis of the sympathetic dominance persistence before and after waking up (sustainability based on heartbeat information) and the sympathetic dominance persistence before and after waking up of the evaluated person (S26). This score is output as the determination result (E) of the state of waking up (good waking up).

  Further, the sustainability of the sympathetic nerve superiority during sleeping is determined from the autonomic nervous activity state (B) (S27), and the above-described determination result (C) of the number of sympathetic nerve superiority during sleeping is stored in advance. Referring to the statistical data of persistence (S28), a score associated with the sympathetic dominance of the subject under sleep based on the reference data and the sympathetic dominance of the sympathetic nerve during sleep obtained previously is obtained. (S29). This score is output as a deep sleep state determination result (G).

  Further, an average value of time-series autonomic nerve activity obtained from the numerical analysis of the heartbeat vibration interval is calculated (S30), and by referring to the calculated value and pre-stored statistical data (S31), the deep sleep level is calculated. The score shown is given (S32), and the determination result (H) of the deep sleep level is output.

  The analysis data output unit 32 is a sleep time obtained from the determination result (C) of the number of lying down (the number of body movements), the determination result of the deep sleep state (G), and the time count value (M) from the measurement data analysis unit 31. Calculated value (N), sleep time determination result (J), sleep time determination result (D), sleep time calculation value (L), wake-up time determination result (K), sleep state determination result (F ), The determination result (E) of the state of waking up and the determination result (H) of the deep sleep level are output to the sleep condition evaluation device 4.

  Here, when the sleep state evaluation device 4 and the measurement data processing device 3 are configured by one computer device, the sleep state evaluation device 4 obtains the determination result regarding the sleep of the evaluated person obtained by the measurement data processing device 3. The data such as the determination result and the calculated value is automatically loaded into the health determination unit 42 via the data input unit 40 and stored in the data storage unit 41 automatically. When the measurement data processing device 3 is a separate body, the sleep condition evaluation device 4 is directly connected to the data input unit 40 by using a network or a communication cable. Further, processing for transferring data for acquiring each data of the calculated value is performed.

  Now, when the data acquisition is completed, the sleep condition evaluation device 4 asks the person to be evaluated about the mental and physical condition / last night behavior under the control of the health determination unit 42, and the answer corresponding to the question. Process to prompt input. In this case, when the measurement data processing device 3 and the sleep status evaluation device 4 are configured by one computer device, or when the measurement data processing device 3 is directly connected to the sleep status evaluation device 4, The question items are displayed on the display unit 45 of the situation evaluation device 4, and an answer input is obtained from the data input device 1 (S103). In the case of the network connection, the question items are displayed on the display on the measurement data processing device 3 side, and the answer is input by the data input device provided in the measurement data processing device 3.

  Now, when the health level determination unit 42 obtains the answer data about the mental and physical condition / last night behavior via the data input unit 40, the health level determination unit 42 next makes a subjective question about the actual state of daily sleep, Processing to obtain the answer is performed. In this case, the person to be evaluated is asked to select whether to input a new answer or use an answer input in the past. If a new answer is selected here, a new answer is input (S104a). Further, when using past data, a process of inputting from the actual sleep actual data that the person to be evaluated has answered in the past from the data storage unit 41 is performed (S104b).

  By the way, as the above-described subjective question, the following question is used, as in Patent Document 1.

In other words, multiple questions related to `` sleeping '' such as ease of falling asleep, smoothness of falling asleep, obstruction of falling asleep due to coldness and hotness, and `` sleep quality '' such as depth of sleep, sleep maintenance stability, and deep sleep Questions related to wakefulness such as sleepiness when waking up, fatigue recovery when waking up, and mental recovery when waking up, and morning sleep, morning mood, physical condition in the morning, etc. , Questions related to `` freshness during the day '' such as sleepiness in the afternoon and sleepiness after dinner, and problems during sleep that are likely to occur due to stress and abnormal biological rhythms, problems that occur during sleep that are likely to occur due to obesity, rhinitis and pillow problems, “Sleep normality, such as sleep problems that are likely to occur due to excessive or insufficient exercise, the possibility of sleep apnea, restless leg syndrome, or periodic limb movement disorder Questions related to bedtime, such as bedtime and regularity, wake-up time and regularity, sleep time and satisfaction, sleep debt, loss of biological rhythm synchronization, irregularity of biological rhythm, and jet lag the question about adopted, in the case of "falling asleep" is "Ru this Togaa take up to 20 minutes or more go to sleep since the beginning of the bed, or it may not falling asleep easily", well into the "bed, Odu I often wake up even when I go to sleep. ”“ The tips of the limbs and shoulders may get cold during cold weather, or the body may get hot. May not be able to fall asleep ".

  In the case of “quality of sleep”, “there may be a little shallow sleep, or may not sleep well”, “woke up more than twice in the night, or woke up after falling asleep Sometimes wakes up early in the morning, or may be troubled by waking up early in the morning "," I may have slept for a long time, but may not feel like sleeping ", etc.

  In addition, in the case of “wake-up”, “It may take more than 20 minutes to wake up in the morning and get up from the bed, or when waking up in the morning, sleepiness may be quite strong, or in the morning When I wake up in the morning, my body may be quite hurting or painful, or when I wake up in the morning, I have a very strong feeling of fatigue. Or when I wake up in the morning, I may not be able to move easily. ”“ When I wake up in the morning, I feel a lot of stress, or when I wake up in the morning, I feel very frustrated. Or when I wake up in the morning, I feel very uncomfortable.

  Also, in the case of “a feeling of cleanliness during the day”, “you may be very sleepy after breakfast, or you may be bored in the morning”, “you may feel very unwell or in the morning. Or, you may be very frustrated in the morning ”,“ You may not be able to concentrate on things in the morning, or you may be sluggish in the morning ”,“ Nap or fall asleep in the afternoon or in the evening Or you may be afraid of sleepiness after noon or in the evening. ”“ You may nap or fall asleep after dinner. After that, you may not feel like doing anything. "

  In the case of “normality of sleep”, “because you may be obscured at night, or you may be“ locked ”when you fall asleep or get up, or you may have a scary dream that you may have at night. "Sometimes sleep at night, or sometimes get bruised at night", "Snort or have a dry mouth when waking up in the morning", " When you are asleep at night, your feet may crawl, or you may be surprised when you fall asleep at night. "" People are jerking or kicking their feet at night. " If you have been told, or if you become sleepy at night, your feet may get irritated and uncomfortable. "

  Furthermore, in the case of “sleeping habits”, “When is the best time to go to bed and try to sleep?”, “When you go to bed and go to sleep irregularly depending on the day?” "When?", "Wake up in the morning is irregular depending on the day?", "How long is the normal sleeping time?", "Is the normal sleeping time enough for you?", "Is the sleeping time irregular depending on the day?" "What is the difference between sleeping hours on weekdays and sleeping hours on holidays?", "Wake-up times on holidays may be after 10:00 am", "Work more than one day a week, after midnight." "I sometimes take a nap irregularly for more than 30 minutes, or I'm about to go around on holidays".

  Of these questions, the questions about the possibility of sleep apnea and the possibility of restless leg syndrome or periodic limb movement disorder are “always”, “sometimes”, “sometimes rare” Get answers in 3 choices, and if you answer “sometimes” or “sometimes”, explain the sleep apnea syndrome and restless leg syndrome and consult a sleep disorder specialist when presenting the results of sleep evaluation described below Is not desirable, and these answers are not subject to sleep status evaluation.

Then, in bed time and its regularity, the wake-up time and its regularity, sleep time and fulfillment, and respect to the question about sleep debt (the beginning of the seven questions in the genre of the above Symbol "sleep habits"), some of the For example, by selecting any one of them, the health degree determination unit 42 obtains an answer from the person to be evaluated.

  Regarding the other questions, we get answers with 3 choices of “So often”, “Occasionally” and “Occasionally or not,” and for the obtained answers, 0, 1 , 2 points.

  If a new answer input is selected in S101, the personal data of the person to be evaluated is input after the answer is input (S105). In this case, a data input guide is displayed in the same manner as in the above-described question to prompt the person to be evaluated to input personal data. The personal data input here is literally personal data of the person being evaluated, such as gender, age, occupation, residence / bedroom status, and the like. These newly inputted subjective questions (actual sleep status), score data, and personal data are stored in the data storage unit 41 under the control of the health level determination unit 42. On the other hand, in the case of using the actual sleep state that has been input in the past, the personal data input process is not performed.

  When the input of answers and the input of personal data are completed, the health level determination unit 42 determines the health level of the subject's sleep (S106).

  In this health level determination, the sleep health level is determined by combining the above-described answer input and personal data with the determination results, determination results, and calculation results received from the measurement data processing device 3.

The determination of the degree of health regarding sleep is performed using the determination result, determination result, and calculation result received from the measurement data processing device 3 in addition to the score obtained by adding the score given to each answer to the subjective question. Set the genre of “freshness during the day” and “sleeping habit” as the state until sleep fall), and the genre of “sleeping”, “quality of sleep”, and “wake up” as the state of sleeping. As for the refreshing nature of the day, the items of “daytime awakening”, “sleeping habit” as “daytime habit” are set, and “sleep quality” is set as “depth of sleep” , “Body movement during sleep”, “Sleep time”, “Sleep level” are set, and two items of “sleeping” and “wake up” are added to these six items, and each item is subjective The number of points attached to the answer of a question or the answer and measurement It carries out the scoring in the 100-point scale by adding the scores of the analysis by chromatography data, calculated by the 100-point scale the total score also went addition of each item. Here, if the items in relation to the measurement data is for adding the scores of the analysis by the measurement data to the score by the respondents, as the proportion of scores by analysis of measurement data increases relative to the rate of scoring by respondents Perform weighting.

  The evaluation of “degree of sleep” uses a determination result H indicating the score evaluated by the average value of the heart rate in the measurement data analysis unit 31.

  Now, based on the individual and total score calculation, the display data generation unit 44 generates image data having a screen configuration as shown in FIG. 4 and displays the display 45 (in the case of network connection, the display of the measurement data processing device 3). Display).

  Here, the individual score display (107b) is performed on the 8-axis radar chart (I) corresponding to the eight items, and the total score (S107a) is performed on the display column (II). Is displayed in the display column (III). When displaying on the radar chart (I), attention is given by, for example, blinking the display of the item with the first worst score in red, for example, and blinking the second worst item in orange.

  Further, the sleep time determination result (J), sleep time (N), wake-up time (K), and sleep time (L) obtained from the measurement data processing device 3, that is, the sleep time related display (S107c) is “actual sleep. This is performed in the display field (IV) as “time attached to”, “time taken to fall asleep”, “actual time awakened”, and “actual sleep time”.

  Further, a balloon column (V) presenting advice to sleep when the item displayed on the radar chart (I) is clicked is also displayed. Corresponding to this display, when the subject is selected and clicked on the item displayed on the radar chart (I) with the data input device 1 composed of a pointing device, the cause of the clicked item data taken in via the GUI Based on the health determination result in the health determination unit 42, the analysis unit 43 performs a cause analysis of the score result for the item (S108). From this cause analysis result, a content of advice for the evaluator is generated, image data corresponding to the message is generated by the display data generation unit 44 based on the content of the advice, and displayed on an advice display screen prepared separately. And processing for displaying advice for improvement of the item selected by the evaluator (S109).

  When this advice is displayed, a supplementary question for finding the cause when the score of each item is low is presented, and according to the obtained answer and the score of the genre, the improvement plan of the genre in sleep General examples and improvement measures according to the individual are presented along with explanations of scientific grounds and technical terms. This presentation adopts the same format as that of Patent Document 1.

For example, when the “sleeping” genre is selected, the cause analysis unit 43
(A) “I think I often can't sleep when I have worries or thoughts before I go to bed or use my head a lot.”
(B) “I often drink alcohol to sleep”
(C) “In cold weather, limbs and shoulders are often cold and difficult to sleep”
(D) “There are quite a few things that make you fall asleep or fall asleep after dinner”
(E) “I often spend time in bright white light just before going to bed”
(F) “Noise may enter the bedroom from the outside at bedtime”
A display for requesting a supplementary question such as “Yes” or “No” is displayed on the display 45 (in the case of network connection, the display of the information data processing device 3), and the answer “Yes” is made via the GUI. If there is a problem, present improvement measures and scientific evidence.

  In other words, if the answer to the supplementary question in (a) is “Yes”, it will be shown that an improvement measure “suppressing brain excitement through short-term relaxation” is effective, and an explanation of its scientific basis, for example, “To go to sleep, the brain needs to be in sleep mode, and in situations where it is difficult to enter this mode, such as anxiety or anxiety, the brain's emotional center (limbic system) Pull the excitement in the direction to awaken the brain ... "

  If the answer to the supplementary question in (b) is “Yes”, it will be shown that an improvement measure of “relaxing mental and physical tension with short-term relaxation” is effective, and “a small amount of alcohol has an excitatory effect on the brain” There is an explanation of the scientific basis, such as “There is an obstacle to falling asleep ...”.

  If the answer to the supplementary question in (c) is “Yes”, it will be shown that the improvement measure “Promotes blood circulation by raising body temperature by 0.1 ° C. before going to bed” is effective, and “To enter sleep” In the human body, the body temperature in the deep part of the body must go down smoothly, and in humans, the main mechanism of the body's thermoregulatory action that lowers the body temperature in the deep part of the body is the dissipation of heat from the limbs. Present the explanation of the scientific basis.

  Also, if you go from the page of the presentation of the explanation of the improvement measures and the scientific rationale that indicate such an unfavorable sleep situation to the next page, what should the improvement measures do? Present a one-point advice. This is advice that “stretching by 0.1 ° C. before going to bed and promoting blood circulation” is effective for stretching and bathing one hour before sleep, as well as guidelines for behavior immediately before sleep, such as caffeine The advice is that intake and a large amount of food just before are not preferable, and that a glass of water is preferable.

  Here, some examples are shown only for the “sleeping” genre, but for other items, supplementary questions for estimating the cause and improvement measures according to the answers are prepared. Of course, they are presented.

By the way, when the past data reference is selected in the above-described step of S101, the evaluated person is prompted on the display screen to input the measurement date corresponding to the past data to be used, and the measurement date is input. The health level determination unit 42 reads the data of the current day from the data storage unit 41 (S110), and uses the read data to determine the health level as in the case of new data (S111). based on the case of new data as well as the total score Display S113a, individual score Display S113b, the sleep time-related Display S113c carried out. When the person to be evaluated selects and clicks the item of the radar chart (I) with the data input device 1 composed of a pointing device in the same manner as described above, the cause analysis unit 43 determines the health level in the health level determination unit 42 as described above. Based on the result, the cause analysis of the score result in the item is performed (S108), and the advice content for the evaluator is generated from the cause analysis result, and the message based on the advice content is displayed (S109). .

  When a system is shared by a plurality of persons to be evaluated, the ID of the person to be evaluated is attached when data is stored in the data storage unit 41 as past data, and when the past data is used, the measurement date described above is used. In addition to the above, the past data of the person to be evaluated can be read by inputting the ID. The ID to be used is input as personal data.

  As described above, in the sleep state evaluation system according to the present embodiment, the health level determination is performed by adding the objective data obtained by measuring and analyzing the heart rate and body motion to the subjective data of the person to be evaluated. The situation can be accurately evaluated, and advice based on this accurate evaluation can be presented to the person being evaluated. As a result, the person being evaluated can improve the situation by knowing his / her sleep situation. Becomes easy.

  As the sensor 2, in addition to the photoelectric pulse wave sensor, a piezoelectric sensor, a pneumatic sensor, a capacitance type sensor or the like is used. For example, the sensor 2 is built in a bedding (mounted on a mattress or laid under a mattress) or a pillow. You may make it obtain | require an autonomic-nerve activity state from the pulsation of a heart, or detect a body movement from disturbance of an output waveform, without mounting | wearing a to-be-evaluated person's body.

  Also, instead of one sensor 2, for example, a photoelectric pulse sensor for acquiring heart rate information and an acceleration sensor for acquiring body motion information are simultaneously worn on the wrist of the person to be evaluated, or a photoelectric pulse sensor and an acceleration sensor are provided. The integrated sensor device may be attached to the wrist.

  Furthermore, only one of the heartbeat information and the body motion information may be used as biological information reflecting the sleep state of the evaluated person.

For example, when only the heart rate information is used, for example, the sensor 2 composed of a photoelectric pulse sensor is attached to a part of the body (wrist, waist, leg, etc.), so that the measurement data processing device 3 can detect only the heartbeat vibration interval. Only the detection data of the heartbeat vibration interval is detected and passed to the sleep state evaluation device 4, and the sleep state evaluation device 4 performs sleep state evaluation using only the detection data of the heartbeat vibration interval as biological information. In this case, as shown in FIG. 5, the determination of the number of wake-ups using the number of body movements, the determination of sleep time using disappearance of body movements, or the determination of wake-up time using continuation of body movements are eliminated. The evaluation of deep sleep is based only on the persistence of sympathetic nerve dominance during sleep.

  When only the body motion information is used, for example, the measurement data processing device 3 counts the number of body motions using the waveform pattern output from the sensor 2 composed of a three-axis acceleration sensor, and the body motion number data is used as sleep data. It passes to the situation evaluation apparatus 4, and the sleep condition evaluation apparatus 4 performs sleep condition evaluation using only this body motion frequency data as biological information. In this case, as shown in FIG. 6, there is no sleep evaluation using the heart rate information, a state of waking up, determination of deep sleep, determination of sleep time from parasympathetic nerve superiority, or determination of wakeup time from sympathetic nervous superiority. In addition, the judgment evaluation of deep sleep is performed based only on the evaluation of the amount of turning over. However, in this case, it is possible to grasp a certain amount of sleep state with a simple configuration without performing complicated calculation processing such as frequency analysis such as detection of heartbeat vibration intervals and calculation of autonomic nerve activity state.

It is a system configuration figure of one embodiment. It is a flowchart for operation | movement description of one Embodiment. It is a flowchart for operation | movement description of the measurement data processing apparatus used for one Embodiment. It is an example of a display screen at the time of health degree determination of one embodiment. It is a flowchart for operation | movement description of the measurement data processing apparatus at the time of using only heart rate information. It is a flowchart for operation | movement description of the measurement data processing apparatus at the time of using only body motion information.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Data input device 2 Heartbeat and body motion sensor 3 Measurement data processing device 30 Measurement data reading part 31 Measurement data analysis part 32 Analysis data output part 4 Sleep condition evaluation apparatus 40 Data input part 41 Data storage part 42 Health degree determination part 43 Cause Analysis unit 44 Display data generation unit 45 Display

Claims (6)

And reporting information acquisition unit that acquires reporting information by declaration regarding sleep of the evaluators, and objective information acquisition unit that acquires biometric information reflecting the sleep status of the evaluator, daily of the evaluator of the filing information to evaluate the sleep situation of the evaluators by summing the assessment of sleep situation that was based on the evaluation and before Symbol biometric information of sleep situation based on the answer that corresponds to the subjective question at a predetermined ratio with respect to the sleep of the actual situation and a evaluation unit,該評 value unit is intended to evaluate the plurality Attraction sleep status, the genre that are relevant to said monkey tell information and the raw material information Chi sac plurality of genre, predetermined as the proportion of the evaluation of sleep situation that the percentage based on the raw material information of is greatly than the proportion of the evaluation of sleep situation based on the answer that corresponds to the subjective questions to the realities of daily sleep of the evaluators Set to Sleep situation evaluation system, characterized in that to evaluate the sleep situation Te. The sleep status evaluation system according to claim 1, wherein the biological information includes one or both of body motion information and heart rate information. The evaluation unit is a genre related to the reporting information and the biometric information among the plurality of genres, such as deep sleep, depth of sleep, good sleep, good sleep, a lot of body movement, and sleep time. The sleep state evaluation system according to claim 1 or 2, wherein at least one of the lengths is provided. The biometric information includes heartbeat information, and the evaluation unit evaluates the goodness of waking up and the goodness of falling by performing pattern analysis with the heartbeat information and pre-stored reference heartbeat information. Item 4. The sleep state evaluation system according to item 3. The sleep evaluation system according to claim 4, wherein the evaluation unit evaluates the degree of deep sleep based on an average value of the heartbeat information. By running on a computer device, reporting information acquisition unit acquires reporting information by declaration regarding sleep of the evaluator of the computer system and, in answer to subjective questions realities of everyday sleep of the filing information and evaluation of sleep status based, the by summing in evaluation and proportions of certain of the sleep status based on the biological information from the objective information acquisition unit that acquires biometric information reflecting the sleep status of the evaluator to function as an evaluation unit for evaluating the sleep status evaluators,該評 value unit is intended to evaluate the plurality Attraction sleep status, in said raw material information and the monkey tell information Chi sac plurality of genres for the relevant genre, a certain percentage of the evaluation of sleep situation based on the answers to the subjective question of the actual percentage of daily sleep of evaluation of sleep situation based on the raw material information Program, characterized in that than if set to be greatly to evaluate the sleep situation.

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