JP2022190756A - Action information gathering device, method and software - Google Patents

Abstract

To provide an action information gathering device, an action information gathering method and action information software that record daily actions of a patient and a context related to his or her subjective symptoms and allow him or her to review effects of self management.SOLUTION: An action information gathering device records daily actions of a patient and a context related to his or her subjective symptoms, and has: a biological information acquisition part which acquires biological information on the patient; a motion acquisition part which acquires motion information on the patient; an input acceleration part which presents information urging the patient to input a content when at least one of the biological information and the motion information meets predetermined conditions; an input interface part which receives input of a type of an action and subjective symptoms from the patient according to the presented information of the input acceleration part; and a storage part which relates and stores at least one of the biological information and the motion information, and the type of the action and the subjective symptoms.SELECTED DRAWING: Figure 1

Description

The present invention relates to an apparatus, method, and software for immediately recording information related to daily activities in order to encourage self-management in chronic disease patients with low exercise tolerance.

In chronically ill patients, patient self-management of their daily lifestyle is important. Patients' self-management habits are acquired by being aware of undesirable health behaviors that occur in their daily lives and by voluntarily devising their own lifestyles.

In heart failure and chronic obstructive pulmonary disease (COPD), symptoms that patients are likely to perceive on a daily basis include shortness of breath, palpitations, and malaise associated with exertion. These appear as a result of unfavorable lifestyles, such as not exercising to improve and maintain exercise tolerance. Therefore, by recording and converting information about the circumstances under which shortness of breath and palpitations occurred, the degree of behavior and symptoms at that time, activities and vital data, it is possible to consciously review and correct one's own behavior. become.

Currently, the most used means of recording daily life and symptoms for patients is a diary format such as a heart failure notebook and a COPD self-management diary (Non-Patent Document 1). In addition, there are also those that realize similar functions as applications on tablets and smartphones.

On the other hand, monitoring of vital data such as pulse rate and exercise data such as activity level is useful for grasping the indication of shortness of breath and palpitations caused by exertion. Currently, in the field of sports, there are watch-type devices that measure pulse rate, number of steps, calories, etc. (Non-Patent Document 2). There is also a technique of calculating activity points and energy consumption values using accelerometers and other sensors (Patent Document 1).

In terms of subjective recording of the degree of shortness of breath, there is a rehabilitation support system that records the patient's electrocardiogram and exercise load while the patient is under exercise, and at the same time inputs the subjective intensity of the exercise (Patent Document 2). There is also a technique for obtaining a more accurate condition of dyspnea by integrating information on subjective symptoms of dyspnea and respiratory rate, physical activity and its level obtained from a questionnaire (Patent Document 3).

Although somewhat different from the gist of the present invention, as a technique for providing appropriate life advice, based on the best practices of health management advice accumulated in the past, when a person subject to health management or a guidance expert makes an inquiry to the system , there is something that feeds back accurate advice. This technology is characterized by analyzing the behavior patterns, biometric information, biolog information, etc. of the subject of health care to determine the certainty of advice candidates and customizing the advice that is actually fed back (Patent Document 4).

Japanese Patent No. 6143793 Japanese Patent Application Laid-Open No. 2020-57082 Japanese Patent No. 5961116 Japanese Patent No. 6048997

Heart failure notebook: <http://www.asas.or.jp/jhfs/topics/shinhuzentecho.html> Suunto 7 Graphite Limited Edition: <https://www.suunto.com/en-us/Products/sports-watches/suunto-7/suunto-7-graphite/>

The degree of shortness of breath and fatigue can also be recorded by a conventional diary-type recording method such as a heart failure notebook. However, since it takes a long time to record, the results of the day tend to be recorded together at night. As a result, due to recall bias, light loads were underestimated, while heavy loads were sometimes overestimated, and the recorded contents often lacked accuracy. If the patient or medical staff does not expect the behavior to be high load or causes shortness of breath, it will be overlooked, and the opportunity to correct lifestyle habits will be lost, and the shortness of breath will be forgotten. There were many.

Shortness of breath due to chronic diseases almost always occurs during some kind of activity in daily life. There is no means to record whether or not it has been done.

In addition, in the rehabilitation support system described in Patent Document 2, the relationship between the exercise load and the patient's shortness of breath can be accurately obtained, and the patient's subjective degree of shortness of breath can also be heard. Because it was limited to rehabilitation, it did not record situations that occur in daily life.

In addition, the system for obtaining an objective measure of dyspnea described in Patent Document 3 can listen to the subjective breathlessness level by questionnaire, but the purpose is only to obtain the dyspnea level. , obtained information on the type of exercise during daily life, and did not associate physical load with subjective symptoms.

Furthermore, the technology related to the health management system as cited in Patent Literature 4 is aimed at accurately answering the user's question. It didn't have the function.

What is necessary to strengthen self-management behavior is to look back on how the symptoms have improved through self-management and to realize the effect, but all the conventional techniques are easy to understand and work in daily life behavior. There was no form of support for it.

The present invention focuses on shortness of breath, which is easily conscious for the patient himself/herself, and provides a device, method, and software for reviewing the effects of self-management by leaving detailed records at the time and place when shortness of breath occurs. By using this mechanism, it is possible to become aware that symptoms are improved by self-management behavior, leading to strengthening of self-management behavior.

The present invention provides the following behavioral information collecting device, behavioral information collecting method, and behavioral information collecting software for recording the context of patient's daily behavior and subjective symptoms.

That is, the present invention is a behavior information collecting device for recording the context of a patient's daily behavior and subjective symptoms, comprising: a biological information acquisition unit for acquiring the patient's biological information; and a movement acquisition unit for acquiring the patient's movement information. an input facilitating unit that presents information prompting the patient to enter a context when at least one of the biological information and the movement information satisfies a predetermined condition; and information presented by the input facilitating unit. an input interface unit that receives an input of a behavior type and a subjective symptom from the patient; at least one of the biological information and the movement information; and the behavior type and the subjective symptom. and a storage unit that stores information.

Further, the present invention further comprises a patient attribute information acquisition unit that acquires patient attribute information of the patient, and the input prompting unit determines that at least one of the patient attribute information, the biometric information, and the movement information meets a predetermined condition. is a means for presenting information prompting the patient to input a context when the above is satisfied, and the storage unit stores the type of behavior, the subjective symptoms, the patient attribute information, the biological information, and the movement information To provide a behavior information collection device characterized by being means for storing in association with at least one of.

Further, the present invention further comprises an environment information acquisition unit for acquiring environment information about the patient, and the input prompting unit is configured so that at least one of the patient attribute information, the biometric information, the movement information, and the environment information is specified. is a means for presenting information prompting the patient to input context when the conditions of are satisfied, and the storage unit stores the type of behavior, the subjective symptoms, the patient attribute information, the biological information, and the Provided is a behavior information collection device characterized by being means for storing in association with at least one of motion information and the environment information.

Further, the present invention further includes a patient identification information acquisition unit that acquires patient identification information for identifying the patient, and the storage unit stores the patient attribute information, the biometric information, and the movement information in association with the patient identification information. , and a means for storing at least one of the environmental information, the type of behavior, and the subjective symptom.

Further, in the present invention, after the input interface unit receives an input from the patient, response information to the input information is fed back to the patient, or input from the patient is performed within a certain period after information prompting input is presented. To provide an action information collecting device characterized by further comprising a responding part for feeding back information for prompting the patient to input again when there is no input content or when input contents are not the type of action and subjective symptoms.

Further, the present invention provides a list of information on the type of action and the subjective symptom stored in the storage unit, or each information on the type of action and the subjective symptom, the biological information associated with them, the A behavior information collecting device, further comprising an information presenting unit that presents time-series information of at least one of movement information, the environment information, and the patient attribute information to the patient and/or an information reviewer. I will provide a.

Further, in the present invention, the biological information is at least one of pulse rate, heart rate, blood oxygen saturation level, respiratory rate, and blood pressure of the patient, and the subjective symptoms are at least shortness of breath or fatigue of the patient. A device for collecting behavioral information, which is one symptom, is provided.

Further, the present invention is a behavior information collection method for recording the context of a patient's daily behavior and subjective symptoms, wherein the patient's biological information and movement information are acquired, and at least one of the information satisfies a predetermined condition. In this case, the timing for prompting the patient to input is determined, the information prompting the patient to input the context is presented, and the input of the type of behavior and subjective symptoms is accepted from the patient according to the presented information. , at least one of the biometric information and the movement information, the type of the action, and the subjective symptoms are associated with each other and stored.

The present invention also provides software for recording the context of a patient's daily behavior and subjective symptoms, comprising: a biological information acquisition module for acquiring the patient's biological information; a movement acquisition module for acquiring the patient's movement information; an input timing determination module for determining a timing for prompting the patient to input when at least one of the biological information and the movement information satisfies a predetermined condition; and an input prompt for presenting information prompting the patient to input. an input interface module for the patient to input the behavior type and the subjective symptom according to the information presented by the input prompting unit; the behavior type and the subjective symptom input by the patient; and/or the Provided is behavior information collecting software comprising a behavior type and a storage module that stores information in which at least one of the biological information and the movement information is associated with the subjective symptom.

According to the above-described configuration, it is possible to provide an apparatus that facilitates recording of the relationship between shortness of breath and actions in daily life of chronic disease patients with low exercise tolerance, such as heart disease patients, and to review the effects of self-management.

The block diagram of the action information collection apparatus which is the embodiment of this invention. The block diagram of the action information collection apparatus which is another embodiment of this invention. The block diagram of the action information collection apparatus which is another embodiment of this invention. The schematic diagram which shows the time-dependent detection result of a patient's physical activity and pulse wave number. The schematic diagram which shows the time-dependent detection result of a patient's physical activity and pulse rate. The schematic diagram which shows a time-dependent change of a patient's action type and the degree of shortness of breath. A list of patient behavior types and shortness of breath. 1 is a schematic diagram of a behavior information collecting device of the present invention; FIG. The schematic diagram of the action information collection apparatus of another aspect of this invention. FIG. 3 is a schematic diagram showing an example of a screen interface of the action information collection device of the present invention;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. The present invention should not be limited to these embodiments in any way, and can be implemented in various forms without departing from the gist of the present invention.

The behavior information collection device, method, and software of the present embodiment constantly monitor the patient's biological information and movement information, or environmental information, and when the biological information and movement information meet predetermined conditions, on the spot It is characterized by prompting the patient to input, and recording the type of action at that time and the degree of shortness of breath and fatigue in association with at least one of patient attribute information, biological information, movement information, and environmental information. The purpose of this study is to link the type of behavior and degree of shortness of breath accumulated in this way with self-management behavior, and to confirm the effect of self-management behavior.

First, in order to facilitate understanding of the significance of this system, a usage scene assumed as an example of a patient with low exercise tolerance will be described with reference to FIG.

This device consists of devices such as sensor-equipped earphones, sensor-equipped eyeglasses, smart watches, smartphones, tablet computers, etc., and their combinations. take up.

The patient inputs patient attribute information from a smartphone, or acquires patient attribute information from an external database and sends it to the smartphone, and transfers the information necessary for collecting patient behavior information from the smartphone to the smart watch (Fig. 8 (A )). The patient wears a smart watch to live, and the smart watch continuously measures the patient's pulse rate and movement information during that time (FIG. 8(B)).

Movement information is translated into physical activity and its level. For example, the pulse rate when the amount of physical activity is 1.5 Mets or less for 10 minutes or more after waking up can be used as the resting pulse rate for that day. Predetermined conditions of physical activity and pulse rate, for example, physical activity of 3 Mets or more and pulse rate higher than resting pulse rate by 20 bpm or more for at least 30 seconds, are satisfied. It is determined by no.

If the condition is met, shortness of breath may be occurring. At this time, it is difficult for the patient to input the degree of shortness of breath without any chance. Therefore, the smart watch prompts the patient to input information using voice, vibration, light, and the like. The patient is prompted to input from the smart watch, and inputs the type of action and the degree of shortness of breath, which is a subjective symptom, on the spot (Fig. 8(C)). It should be noted that the predetermined condition described here is merely one example, and the concept thereof will be described in detail in the following embodiments.

In this way, the type of activity and the degree of shortness of breath input by the patient themselves, the pulse rate and the level of physical activity, which are biometric information before and after the activity, are recorded in association with each other and recorded. The relationship, the level of physical activity and its associated pulse rate variability, and the extent to which the person feels shortness of breath due to the level of physical activity and the increase in pulse rate become clear. By accumulating this record, we will be able to understand the characteristics and changes of the pathology from various angles, such as what kind of behavior is burdening the body, whether you feel shortness of breath, and how it compares to before. be able to comprehend. Therefore, by looking at the trend, the patient realizes the effect of complying with the medical practitioner's instructions and the demerit of not complying (FIG. 8(D)).

In addition to this, if daily meals, drinking water, sleep, medication status, etc. are also recorded, awareness of the relationship between daily habits and symptoms will be further enhanced, leading to behavioral changes. In addition, if this information is conveyed to medical personnel, medical personnel can easily understand whether the patient is doing moderate activities in their daily lives and what kind of behavior is at risk. Effective instruction can be provided.

As another aspect, FIG. 9 shows the patient's biological information acquired by the behavior information collection device using a smartphone and a smart watch, the patient's movement information, and the type of behavior that is the context of the patient that is input and recorded in association with it, A system for managing subjective symptom information, environmental information, and patient attribute information by a server is shown. By linking with patient ID information and managing the storage location of such information as storage on the cloud, the patient's vitals in daily activities can be shared between the doctor who treats the patient and the medical staff who provides daily health guidance. It is possible to share data and context information such as the occurrence of abnormalities, behavior at that time and the degree of symptoms, etc., and accurate treatment and guidance can be given at the time of examination and health guidance.

In addition, by linking patient attribute information such as patient charts and examination information, the upper limit value and threshold value for abnormal detection of patient biometric information and movement information can be fed back to smart watches and smartphones, which are patient terminals, to facilitate individual input work. becomes unnecessary. Furthermore, based on the accumulated information, the patient's behavior patterns, vital data, and abnormal symptoms are visualized and displayed on the patient's smartphone screen. It becomes possible to see the progress and realize behavioral change.

[Example 1]
Hereinafter, the elements constituting the behavior information collection device will be described in detail with reference to FIG.

In FIG. 1, a patient attribute information acquisition unit 101 acquires patient attribute information regarding a patient's disease, medication, and lifestyle. Patient attribute information related to daily life includes information representing lifestyle habits including one or more of the patient's sex, age, physical condition, weight, blood pressure, wake-up time, bedtime, meal time, work time, exercise time, etc., and mood of the day. , pain, presence or absence of edema, and other subjective and objective information. For example, when a patient acquires data directly through an input interface, or an electronic medical record stored in association with patient identification information such as my number, health insurance card number, or medical record number that identifies an individual patient, It can be realized by extracting and acquiring information from databases such as receipts and medical examinations.

The biometric information acquisition unit 102 acquires biometric information of the patient. The biological information includes at least one or more of pulse rate, heart rate, blood oxygen saturation level, respiration rate, blood pressure, and the like. The pulse rate can be obtained, for example, from a photoelectric pulse wave sensor, and the heart rate from an electrocardiographic sensor. The blood oxygen saturation level is obtained from a pulse oximeter, and the blood pressure can be obtained as a continuous relative blood pressure value by utilizing the phase difference between the waveforms obtained from both pulse wave and electrocardiogram sensors. . Respiratory rate can be determined from pulse or heart rate variability, or chest movement.

The motion information acquisition unit 103 acquires physical activity and its level by a motion sensor attached to the patient or a camera watching over the patient. In the former, for example, the motion sensor in the smart watch is used to move the wrist, the waist or trunk is moved by the motion sensor of the smartphone worn on the waist or in the chest pocket, and the head is moved by the motion sensor in the glasses or earphones. can be captured. Specifically, for example, from the output of a three-axis acceleration sensor attached to the waist, the ratio of the scalar value including the gravitational acceleration and the scalar value obtained by removing the gravitational acceleration component from the sensor output for 10 seconds. There is known a method of obtaining the metabolic rate during walking and daily activities by using this method (British Journal of Nutrition (2011), 105, 1681-1691). In motions involving climbing and descending stairs, the level of physical activity is corrected using environmental information (to be described later) such as atmospheric pressure change information or position information in addition to movement information. In the latter, there is a technology (eg https://resou.osaka-u.ac.jp/ja/story/2018/pshw4z) that estimates the type of exercise from the movement of the limbs with a camera, and based on that, for example, The physical activity METs table (https://www.nibiohn.go.jp/files/2011mets.pdf) can be used to obtain an approximate amount of activity. In this case, the magnitude of physical activity in the same exercise type can be estimated from the magnitude and speed of movement. In addition, the type of motion input by the patient and the characteristics of the motion sensor data, for example, the time-series characteristics such as the period and the magnitude of the movement, are used to estimate the type of motion, and the patient's physical activity is performed in the same way as the camera. can be asked for.

The environment information acquisition unit 104 acquires environment information in which the patient is placed. The environmental information includes at least one of weather, temperature, humidity, air pressure, time, location information, and the like. Weather can be obtained from an external network, such as a weather API, for example. Temperature, humidity, and atmospheric pressure can be obtained, for example, from temperature/humidity/air pressure sensors. Position information can be obtained from GPS, for example. Time can be obtained from GPS or an external network, for example.

The input timing determination unit 105 determines whether or not the patient's biological information and motion information satisfy a predetermined condition. Predetermined conditions specifically consist of detecting a point in time when shortness of breath is likely to occur and then detecting a suitable point in time for the patient to enter the situation. For example, the former is when physical activity is above a certain level and the respiratory rate and pulse rate increase above a certain level, and the latter is when the pulse rate and breathing rate have stabilized after that.

Instead of physical activity, the threshold may be determined by multiplying a certain level of physical activity by the duration of exercise (JCS Joint Working Group Guidelines for Rehabilitation in Patients With Cardiovascular Disease (JCS 2012). Circ J 2014, 78, 2022-2093, doi:10.1253/circj.CJ-66-0094.). A method using SpO2 instead of respiratory rate and pulse rate is also conceivable, but for simplicity, an example of a combination of physical activity and pulse rate will be described here.

As described above, the point at which the shortness of breath is likely to occur may be the point at which the physical activity exceeds the threshold and the pulse rate exceeds the preset upper limit. For example, in the range 1001 in FIG. 4, the physical activity is below the threshold, but the pulse rate exceeds the upper limit. In this case, since the cause of the increase in pulse rate is not exertion, it is not subject to context input. Also, in the range of 1002, the physical activity is above the threshold, but the pulse rate does not exceed the upper limit. In this case as well, the physical load is considered below the standard and is not subject to context input. On the other hand, in the range of 1003 to 1006, since the physical activity exceeds the threshold and the pulse rate also exceeds the threshold, the range is subject to context input.

The timing suitable for input is after this point, and the following patterns are conceivable.
Pattern 1: When physical activity decreases and the pulse rate also decreases accordingly, falling below both the threshold for physical activity and the upper limit of pulse rate.
Pattern 2: Physical activity, pulse rate, or both do not fall below the reference threshold or upper limit.

In the case of pattern 1 above, after the physical activity exceeds the predetermined threshold and the pulse rate exceeds the upper limit, the pulse rate or physical activity exceeds the threshold or the upper limit within 20 minutes, which is the exercise time recommended for cardiac rehabilitation. If the value falls below the reference value, the input timing may be set later when the value falls below the reference value. For example, in FIG. 4, physical activity exceeds the threshold at 1003 and then pulse rate exceeds the upper limit at 1004 . Thereafter, at 1005 the physical activity falls below the threshold and at 1006 the pulse rate falls below the upper limit. In this case, the latter time point 1005 when the physical activity falls below the threshold value within 20 minutes from the time point 1003 when the physical activity exceeds the threshold value, and the time point 1006 when the pulse rate exceeds the upper limit value and then falls below the upper limit value again. That is, the input timing may be X0 at which it is estimated that the physical condition has settled down.

Further, in the case of pattern 2, when both the values of physical activity and pulse rate do not fall below the reference values, as shown in FIG. do it. However, when environmental information, for example, when the temperature is extremely low or high, the input timing may be after a period of time shorter than 20 minutes has elapsed.

In addition, in order to make sure that the timing is more suitable for input, we will input voices such as "Let's take a break" and "Let's catch your breath" at the above-mentioned "points where there is a high possibility of shortness of breath". It may be performed from the facilitator 106 .

The physical activity threshold is, for example, in the case of heart failure, a cardiopulmonary exercise test (CPX) is performed to convert the oxygen uptake of the anaerobic metabolic threshold (AT level) into metabolic equivalents (METs), and the value is the threshold or a method of determining the threshold value based on past physical activity and shortness of breath records. By importing these as patient attribute information, a threshold for each individual can be set. Also, the physical activity threshold is corrected based on the information obtained from the patient attribute information acquisition unit 101, that is, the physical condition, weight, blood pressure, mood, pain, etc. of the day, disease, prescription drug information, and the like. For example, in heart failure, if your blood pressure is 180/100 mmHg or higher, if your weight has increased by 1.8 kg in 3 days, if your resting heart rate exceeds 100 bpm, if you have chest pain, etc. Lower physical activity thresholds as appropriate.

Also, the upper limit of the pulse rate can be determined using the Karvonen method or set to 60% to 90% of the maximum heart rate determined by CPX. If CPX cannot be performed, the upper limit value may be a value obtained by increasing the resting pulse rate by 20 bpm. (Masahiko Suzuki, Pharmacology for Physical Therapy, Physical Therapy Science, 1997, Vol. 12, No. 2, pp. 101-106). As with the physical activity threshold, the upper limit of the pulse rate is corrected based on the information obtained from the patient attribute information acquisition unit 101 . For example, if a beta-blocker is prescribed for a patient with heart failure, the upper limit of the pulse rate should be lowered since taking it may make it difficult to increase the heart rate.

Note that the resting pulse rate is the pulse rate when the smart watch is worn and sitting in a resting state for 10 minutes or longer, and may be set, for example, in the early morning and after lunch each day. If there is no sitting rest condition for more than 10 minutes, the lowest pulse rate within 1 hour after lunch in the morning may be used.

The input prompting unit 106 prompts the patient to input based on the information output from the input timing determining unit 105 . Specifically, at least one of sound, vibration, and light is used to prompt the patient to input. The sound may be an alert sound that is easy for the patient to hear, or a specific voice such as the patient's name, "Mr. A!" There is also a method of periodically repeating a specific pattern, for example, a vibration pattern, so that it can be understood that the vibration stimulus is prompting an input. In addition, when the surroundings are dark, it is effective to work with a blinking pattern of light.

The input interface unit 107 is for the patient to input both the type of action performed by the patient at that time and subjective symptoms based on the output result of the input prompting unit 106 . Input methods include a voice method, a method of displaying behavior types and subjective symptom candidates on the screen of the device and tapping them, and a method of assigning behavior types and subjective symptom levels to actual buttons and levers.

In the case of voice input, there is a method of eliciting an answer through dialogue. For example, if it is the type of action, "What were you doing now?" There is also a method of asking questions such as "Did you go up the stairs just now?" This can be realized by accumulating environmental information such as motion information and position, and input motion type information, and labeling them using machine learning. In addition, shortness of breath, which is a subjective symptom, uses the Borg scale to assist input, mimetic words that mimic the state of breathing such as "jezee suru" and "fuufu suru", and a talk test to check whether you can have a conversation after the activity. (Method for judging that conversation is within the scope of aerobic exercise if it is possible to talk during exercise), questions such as "Can you speak smoothly?" A Brief Fatigue Inventory may also be presented to assist in inputting fatigue.

If the information to be acquired is voice, voice recognition is performed to convert it into text information, and the behavior type and subjective symptoms are determined based on the dialogue context. When conducting a talk test, voice information is analyzed along with voice recognition to determine breathing difficulty.

The storage unit 108 stores the patient attribute information obtained from the patient attribute information acquisition unit 101, the vital data obtained from the biological information acquisition unit 102, the physical activity information acquired from the movement information acquisition unit 103, and the environmental information acquisition unit 104. Information such as the time, position, temperature, etc. obtained, and information on behavior types and subjective symptoms obtained from the input interface unit 107 are stored in chronological order. In addition, when the behavior type and the subjective symptoms are acquired by voice, the original voice information may be stored together with the text information. Further, the behavior type and the subjective symptom are information that is input after the condition of the input timing determination unit 105 is satisfied, and the biometric information and physical activity information before and after that are important. The acquired biometric information and physical activity information from 20 minutes before to 5 minutes after is stored as it is, and the amount of data to be stored may be reduced by, for example, thinning out information for other time periods.

On the other hand, the storage location of information is composed of one or more of smart watch, smart phone, tablet, notebook computer, desktop computer storage, and cloud storage. For example, biometric information, physical activity, behavior type, and subjective symptom information may be temporarily stored in a smartwatch and then transferred to a smartphone or storage on the cloud.

In this way, by recording shortness of breath, the actions taken at the time of shortness of breath, the level of physical activity at that time, and vital data, it is possible to determine how much physical activity the patient has in daily life and how much. Data are accumulated daily on how the heart and lungs respond to physical activity and how patients feel about it. Therefore, better disease status leads to better vital data for physical activity and less subjective breathlessness and sensation. On the other hand, in some cases, the feeling of shortness of breath is strong even though the vital data is improving. This is difficult to determine because it depends on how the patient feels, but one of the causes may be psychological effects such as depressive symptoms. In addition, it is possible that the pulse rate fluctuation associated with the rise and fall of physical activity is poor, and that the patient is in a state called chronotropic incompetence, in which the response delay increases (https://doi.org). 2011;123:1010-1020). Therefore, in the former case, it is possible to provide the person with a sense of security by presenting such data objectively. Moreover, in the latter case, it becomes a trigger for changing the upper limit value of the pulse rate.

On the other hand, when physical activity decreases, looking at trends in the level of daily physical activity and changes in subjective breathlessness, it is possible that the intensity of breathlessness felt by the subject is greater than that of ordinary people. Predictable.

If the feeling of shortness of breath does not become strong even if the vital data deteriorates, it is possible that the patient's awareness of the condition of the patient is low.

This information is communicated not only to the patient, but also to medical personnel, family members, caregivers, etc., leading to more effective health guidance.

[Example 2]
FIG. 2 is obtained by adding a response unit 209 to the components of the first embodiment.

In the first embodiment, it is assumed that the patient inputs information after the input prompting unit 106 is activated, but the patient does not always continue to input information. Rather, in many cases, information gathering does not last long just by prompting for input.

The response section 209 is for dealing with this problem, and presents information to the patient immediately after the patient inputs information using the input interface section 207 . Examples of information include gratitude for input actions such as "Thank you for your input!" Including feedback on the degree of shortness of breath, as well as at least one of points awarding, character leveling up, and item acquisition. It may be combined such that at first, gratitude for the input behavior is used to establish the input behavior, and when the input is established, the change in the degree of shortness of breath as a result of the self-management behavior is evaluated, and the self-management behavior is established. By presenting this information within one minute immediately after the action, there is a high possibility that the patient's information input action will be strengthened.
If information is not obtained from the patient for a long time despite the input prompting from the input prompting unit 206, a voice such as "Is something wrong?" Alternatively, if some behavior has been recorded in the past, but the behavior has not been acquired for a long time now, the previously acquired behavior can be compared with the behavior such as ``Do you feel more out of breath when you put the futon up and down compared to before?'' You may be encouraged to reflect on accompanying subjective symptoms.

[Example 3]
FIG. 3 shows an information presentation unit 309 added to the components of the first embodiment. There is a method of displaying the content on the browser as a smartphone or a cloud web application, or a smart speaker can display the presentation contents in the form of voice. There is also a method to use and convey. When presenting information by voice, it may be interactive, and may take the form of responding to inquiries from other users such as patients or medical personnel.

The information presentation unit 309 associates the patient identification information stored in the storage unit 308 with the patient identification information, the vital data stored as time-series information, the level of physical activity, the environmental information, and the behavior type and the subjective symptom, The purpose is to present information in an easy-to-understand manner to users such as patients, medical staff, and family members. For example, as shown in FIG. 6, a graph showing changes in the level of subjective symptoms associated with certain behaviors over a certain period of time, or a list of daily behaviors and subjective symptoms associated with them, as shown in FIG. 7, is presented. .

In addition, the information to be presented is presented by extracting and presenting similar behaviors or behaviors with an equivalent amount of activity in addition to the above information, or is presented according to the patient's preferences and lifestyles acquired from the patient attribute information acquisition unit 301. Information with customized content may be presented.

In the case where there is no input even though the input prompting unit 306 is working or there is no input due to equipment failure, the situation can be presented to the patient, family members, medical personnel, and the like.

All of the above embodiments are aimed at detecting shortness of breath and inputting situations, but as a completely different application using the same configuration, a device for moving a physically inactive person can be considered. be done. For example, a device that activates the input prompting unit 106 when motion information cannot be acquired for a certain period of time and inquires about the reason for inactivity through the input interface unit 107 is also conceivable. In this case, for example, the input interface section presents "It's been a long period of inactivity. Are you okay?" and "What is the reason?" Present an answer and ask why. By storing the results in the storage unit 108, inactive living situations can be accumulated. Also, in the response section 209, it is possible to look back on lifestyle habits, behaviors, and subjective symptoms such as "I used to walk at a set time, but it seems that I haven't been doing it recently. How is your physical condition?" You can also encourage them to do so. This information is useful for health care providers to encourage behavior modification in patients who do not exercise much. Also, after the input prompting unit 106 sends a message encouraging exercise such as standing up and moving the body, the biological information acquisition unit 102 acquires the pulse rate and the motion information acquisition unit 103 acquires the motion information, which is then analyzed and evaluated. It may be equipped with a function. In this case, as a method of encouraging more controlled exercise, there is a method of instructing the speed and intensity of exercise by sound or vibration from the input promotion unit 106, or a method of interlocking with an external video display such as a television or smartphone screen. Another method is to indicate the speed and intensity of exercise.

Similarly, as another application, it can be considered as a device for detecting a patient's unsteadiness, falling, etc., and calling attention to it. For example, a device that activates the input facilitating unit 106 and inquires about the situation through the input interface unit 107 at the timing when staggering or falling is detected from the motion information is also conceivable. In this case, for example, through the input interface section 107, inquiries such as "Are you okay?" The results can be communicated to family members, medical personnel, etc. through communication lines, and lead to behavior modification to prevent falls.

Note that FIG. 10 shows an example of a smart watch screen. As an electronic clock, there are functions such as date, time, charge amount, activity such as number of steps, vital information such as pulse rate, when burden behavior was detected and response at that time, 24H time axis It would be nice if you could check above. For example, even if you have to postpone the input, you can tap this place and give it the function of leaving a record. FIG. 10 shows an example in which the circumference of the clock is likened to a 24-hour time axis. By adding such a display interface, as shown in FIG. It can also be used to record whether or not

Provided is a behavior information collection device that records the relationship between behavior in daily life and subjective symptoms of chronic disease patients with low exercise tolerance, such as heart disease patients, and promotes behavior modification by reviewing the effects of self-management.

Claims (9)

A behavior information collection device that records the context of a patient's daily behavior and subjective symptoms,
a biometric information acquisition unit that acquires biometric information of the patient;
a motion acquisition unit that acquires motion information of the patient;
an input facilitating unit that presents information prompting the patient to input a context when at least one of the biological information and the movement information satisfies a predetermined condition;
an input interface unit that receives an input of a behavior type and a subjective symptom from the patient according to the information presented by the input prompting unit;
A behavior information collecting device, comprising: at least one of the biological information and the movement information; and a storage unit that associates and stores the behavior type and the subjective symptom. further comprising a patient attribute information acquisition unit that acquires patient attribute information of the patient;
The input prompting unit presents information prompting the patient to input context when at least one of the patient attribute information, the biometric information, and the movement information satisfies a predetermined condition,
2. The storage unit stores at least one of the type of behavior, the subjective symptoms, and the patient attribute information, the biological information, and the movement information in association with each other. Behavioral information collection device described. Further comprising an environmental information acquisition unit for acquiring environmental information of the patient,
The input prompting unit presents information prompting the patient to input a context when at least one of the patient attribute information, the biometric information, the movement information, and the environment information satisfies a predetermined condition. can be,
The storage unit stores at least one of the type of behavior, the subjective symptoms, and the patient attribute information, the biological information, the movement information, and the environment information in association with each other. 3. The behavior information collection device according to claim 1 or 2. Further comprising a patient identification information acquisition unit that acquires patient identification information that identifies the patient,
The storage unit stores at least one of the patient attribute information, the biometric information, the movement information, and the environment information, the behavior type, and the subjective symptoms in association with the patient identification information. 4. The behavior information collecting device according to any one of claims 1 to 3, wherein the behavior information collecting device is means. After the input interface unit receives an input from the patient, the response information to the input information is fed back to the patient, or if there is no input from the patient within a certain period of time after information prompting input is presented, or 2. The behavior information collecting apparatus according to claim 1, further comprising a response unit that feeds back information prompting the patient to input again when the input contents are not the behavior type and subjective symptoms. A list of information on the type of action and the subjective symptom stored in the storage unit, or each information on the type of action and the subjective symptom, the biological information associated therewith, the information on the movement, and the 6. Any one of claims 1 to 5, further comprising an information presentation unit that presents time-series information of at least one of the environmental information and the patient attribute information to the patient and/or an information reviewer. Behavioral information collection device described. The biological information is at least one information of the patient's pulse rate, heart rate, blood oxygen saturation level, respiratory rate, and blood pressure, and the subjective symptom is at least one symptom related to shortness of breath or fatigue of the patient. 7. The behavior information collecting device according to any one of claims 1 to 6. A method of collecting behavior information for recording the context of a patient's daily behavior and subjective symptoms, wherein biological information and movement information of the patient are obtained, and when at least one of the information satisfies a predetermined condition, the patient and presents information prompting the patient to input a context, and receives input of the type of behavior and subjective symptoms from the patient according to the presented information, and the biological information, A behavior information collection method for storing at least one of the movement information, the behavior type, and the subjective symptom in association with each other. Software that records the context of a patient's daily behavior and subjective symptoms, comprising:
a biometric information acquisition module for acquiring biometric information of the patient;
a motion acquisition module for acquiring motion information of the patient;
an input timing determination module that determines a timing for prompting the patient to input when at least one of the biological information and the movement information satisfies a predetermined condition;
an input prompt module for presenting information prompting the patient for input;
an input interface module for the patient to input a behavior type and a subjective symptom according to the information presented by the input prompting unit;
a storage module for storing the type of behavior and the subjective symptoms input by the patient and/or information in which at least one of the biological information and the movement information is associated with the type of behavior and the subjective symptoms; behavioral information collection software.

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