Condition change detection system and condition change detection program

Abstract

This system provides a condition change detection system that can accurately detect changes in a subject's condition, even when the rate of symptom progression differs. The condition change detection system 100 comprises a biological information measuring device 101 that measures the vital signs of the subject P, a motion detection sensor 110 that detects the movements of the subject P around their bed, and a host device 200 that manages the condition changes of each subject P. The host device 200 mainly comprises a storage unit 201, an input unit 202, a control unit 203, an output unit 204, and a communication unit 205. In this case, the control unit 203 comprises an index calculation unit 203a that calculates biological indicators for evaluating fluctuations in the vital signs of the subject P over time, a change detection unit 203b that detects changes in the condition of the subject P based on the calculated biological indicators, and a condition notification unit 203c that notifies of the changes in condition. Figure 1

Description

【Technical Field】 【0001】 The present invention relates to a physical condition change detection system and a physical condition change detection program for detecting changes in a subject's physical condition based on a biological index for evaluating changes in vital signs acquired from the subject over time. 【Background Art】 【0002】 Conventionally, there has been a physical condition change detection system for determining changes in a subject's physical condition based on a biological index calculated using the subject's vital signs. For example, Patent Document 1 below discloses an abnormality notification device (physical condition change detection system) that estimates the state of a patient (subject) based on a biological index (biological indicator) such as the slope of a moving average or an approximate straight line calculated for each parameter such as the patient's heart rate or respiratory rate. This physical condition change detection system is configured to estimate an abnormality in the subject's physical condition based on the biological index calculated for a single period. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document ၁】 Japanese Patent Application Laid-Open No. 2019-97828 【0004】 However, in the physical condition change detection system described in Patent Document 1 above, since the abnormality of the subject's state is estimated based on the biological index in a single period, when the progression speed of symptoms varies depending on the type of disease, the subject's health condition, or the subject's constitution, there is a problem that it is difficult to accurately detect the abnormality. 【0005】 The present invention has been made to address the above problems, and an object thereof is to provide a physical condition change detection system that can accurately detect changes in a subject's physical condition even when the progression speed of symptoms varies. 【Summary of the Invention】 【0006】 To achieve the above objective, the present invention features a condition change detection system for detecting changes in a subject's condition, comprising: vital sign acquisition means for acquiring the subject's vital signs; index calculation means for calculating biometric indicators for evaluating fluctuations in the acquired vital signs over time; and change detection means for detecting changes in the subject's condition based on the calculated biometric indicators. The index calculation means calculates the slope of an approximate straight line for each period as a biometric indicator using the vital signs in a first period including at least the most recent few hours and a second period longer than the first period, both of which have the same starting point. The change detection means detects changes in the subject's condition based on the calculated slope of the approximate straight line for each period. 【0007】 According to this, the condition change detection system is configured to include a change detection means that detects changes in the subject's condition based on the slope of an approximate straight line for each period calculated by an index calculation means using the vital signs in the first and second periods. In other words, since the condition change detection system is configured to detect changes in the subject's condition based on the respective biometric indicators calculated for each of the two most recent periods of different lengths, it can accurately detect changes in the subject's condition (hereinafter referred to as "condition changes") even when the rate of symptom progression differs. 【0008】 Furthermore, this condition change detection system is configured to include change detection means that detect changes in condition based on each biometric indicator calculated for the first and second periods, which have the same starting point. Therefore, the condition change detection system can analyze changes in condition during a specific time period (the second period including the first period) using short-term and long-term indicators, thereby improving the accuracy of condition change detection. 【0009】 Furthermore, in order to achieve the above objective, the present invention is characterized by a condition change detection system for detecting changes in the condition of a subject, comprising: vital sign acquisition means for acquiring the vital signs of the subject; index calculation means for calculating biometric indicators for evaluating the fluctuations in the acquired vital signs over time; and change detection means for detecting changes in the condition of the subject based on the calculated biometric indicators. The index calculation means calculates the slope of an approximate straight line for each period as a biometric indicator using the vital signs in a first period including at least the most recent few hours and a second period adjacent to or partially overlapping with the first period, and the change detection means detects changes in the condition of the subject based on the slope of the approximate straight line for each period calculated. 【0010】 According to this, the condition change detection system is configured to include a change detection means that detects changes in the subject's condition based on the slope of an approximate straight line for each period calculated by an index calculation means using the vital signs in the first and second periods, respectively. In other words, since the condition change detection system is configured to detect changes in the subject's condition based on the respective biometric indicators calculated for each of the two most recent periods of different lengths, it can accurately detect changes in the subject's condition even when the rate of symptom progression differs. 【0011】 Furthermore, this condition change detection system is configured to include change detection means that detect changes in condition based on each biometric indicator calculated for two consecutive periods (the first period and the second period) that have different starting points. Therefore, the condition change detection system can analyze changes in a subject's condition that occur across two consecutive periods, and can easily detect changes in condition that are difficult to detect with each biometric indicator for the two periods that have the same starting point. 【0012】 Another feature of the present invention is that, in the state change detection system, the second period is at least 1.5 times longer than the first period. 【0013】 According to this, the condition change detection system is configured to detect changes in the subject's condition based on biometric indicators in a second period that is at least 1.5 times longer than the first period. Therefore, the condition change detection system can detect changes in the subject's condition that appear gradually over a longer period than the first period (e.g., several hours to several days) due to diseases such as pneumonia, heart failure, infection, or dehydration, and can easily detect changes in condition that are difficult to detect with biometric indicators in the first period. 【0014】 Another feature of the present invention is that, in the condition change detection system, the index calculation means calculates a moving average as a bioindicator using vital signs acquired over a period shorter than the first period. 【0015】 According to this, the condition change detection system is configured such that the index calculation means calculates a moving average as a biometric index using vital signs acquired over a period shorter than the first period. Therefore, the condition change detection system can detect rapid changes in condition that occur in a shorter time (e.g., from a few minutes to a few hours) than the first period due to diseases such as asphyxiation, myocardial infarction, stroke, or aortic dissection, and can easily detect changes in condition that are difficult to detect with biometric indexes in the first period. 【0016】 Another feature of the present invention is that, in the condition change detection system, the change detection means determines that if no change in the subject's condition is detected by comparing a biological indicator with a predetermined threshold and the biological indicator is located near the threshold, the subject's condition is in a state requiring observation and monitoring. 【0017】 According to this, the condition change detection system is configured to include a change detection means that determines that if no change in the subject's condition is detected and the biometric indicators are near a threshold, the subject's condition requires observation and monitoring of its progress. Therefore, the condition change detection system can predict in advance which subjects may experience changes in their condition. 【0018】 Another feature of the present invention is that, in the condition change detection system, the vital sign acquisition means is composed of a motion detector that detects the action of the subject leaving or approaching the bed. 【0019】 According to this, the condition change detection system is composed of a motion detector that detects the actions of the subject as they approach or move away from the bed, so that the changes in the subject's condition can be estimated from their actions. 【0020】 For example, if the number of times a subject gets out of bed at night increases compared to normal when their condition is stable, it is possible that symptoms such as frequent urination, wandering, delirium, or sleep disorders such as difficulty falling asleep or frequent awakenings during sleep may develop. Also, if the number of times a subject goes back into bed increases compared to normal, it is possible that the subject's condition is deteriorating, or that hypersomnia or other sleep disorders are developing. Furthermore, if the time spent in bed between getting out and getting back into bed increases compared to normal, it is possible that daytime activity levels are increasing due to recovery, while nighttime wandering, delirium, or sleep disorders may develop. Also, if the time spent in bed between going back into bed and getting out again increases compared to normal, it is possible that the subject's condition is deteriorating or that sleep disorders such as hypersomnia are developing. 【0021】 Another feature of the present invention is that the condition change detection system further includes an indicator determination means for determining the reliability of the biological indicator. 【0022】 According to this, the condition change detection system is further configured to include an indicator determination means for determining the reliability of the biometric indicators, thereby suppressing false detections based on unreliable biometric indicators and improving detection accuracy. 【0023】 Another feature of the present invention is that the condition change detection system further includes a condition notification means that notifies when the condition of the subject has changed in response to detection by the change detection means. 【0024】 According to this, the physical condition change detection system is further configured to include a physical condition notification means for notifying that the physical condition of the subject has changed when the change detection means detects a change in the physical condition of the subject. Therefore, even when the subject is not aware of their own physical condition change (has no subjective symptoms) or when the subject is unable to call for help, the physical condition change detection system can quickly notify that the physical condition has changed in response to the detection of the subject's physical condition change. In addition, the physical condition change detection system can also notify a person at a distance of the change in the physical condition of the subject. 【0025】 Further, the present invention can be implemented not only as a physical condition change detection system but also as a physical condition change detection program. 【0026】 Specifically, the physical condition change detection program is a physical condition change detection program that causes a computer device to execute a process for detecting a change in the physical condition of a subject. The computer device is caused to execute a vital sign acquisition step for acquiring the vital signs of the subject, an index calculation step for calculating a biological index for evaluating the variation of the acquired vital signs over time, and a change detection step for detecting a change in the physical condition of the subject based on the calculated biological index. The index calculation step calculates, as the biological index, the slope of an approximate straight line for each period using the vital signs in each of two periods with matching starting points, including at least the most recent few hours, i.e., a first period and a second period longer than the first period. The change detection step may detect a change in the physical condition of the subject based on the slope of the approximate straight line calculated for each period. 【0027】 According to this, the physical condition change detection program can be expected to have the same operational effects as the invention of the above-described physical condition change detection system. 【0028】 The body condition change detection program is a program that causes a computer device to execute a process for detecting changes in the body condition of a subject. The computer device is caused to execute a vital sign acquisition step for acquiring the vital signs of the subject, an index calculation step for calculating a biological index for evaluating the fluctuations of the acquired vital signs over time, and a change detection step for detecting changes in the body condition of the subject based on the calculated biological index. The index calculation step calculates, as the biological index, the slope of an approximate straight line for each period using the respective vital signs in a first period including at least the most recent several hours and a second period adjacent to or partially overlapping with the first period. The change detection step may detect changes in the body condition of the subject based on the slopes of the approximate straight lines calculated for each period. 【0029】 According to this, the body condition change detection program can be expected to have the same operational effects as the invention of the above-described body condition change detection system. 【Brief Description of the Drawings】 【0030】 [Figure 1] It is an explanatory diagram schematically showing the overall configuration of the body condition change detection system according to an embodiment of the present invention. [Figure 2] It is a block diagram showing an outline of the control system in the body condition change detection system shown in FIG. 1. [Figure 3] It is a plan view showing the state of the bedroom where the motion detection sensor shown in FIG. 1 is installed in a plan view. [Figure 4] It is a flowchart showing the flow of the process of the body condition change detection program. [Figure 5] It is a flowchart showing the flow of the process of the data recording subprogram. [Figure 6]This diagram schematically illustrates the relationship between the moving average (MA) for the most recent three hours as of 0:00 on May 12th and the abnormal value judgment criteria (MA+20 and MA-20) set based on the moving average, in a time-series graph representing the pulse rate measurements of a subject acquired at 10-minute intervals by the communication unit of the host device over a 24-hour period from 0:00 on May 11th to 0:00 on May 12th (current time). [Figure 7] This is a flowchart showing the processing flow of the change detection subprogram. [Figure 8] Figures (A) and (B) show the biometric indicators and judgment criteria for detecting changes in the subject's condition in the graph shown in Figure 5, respectively. Figure (A) is a schematic diagram illustrating the relationship between the moving average (MA) over the past 3 hours and the judgment criteria for the moving average (reference value (MA)) determined according to the subject, while Figure (B) is a schematic diagram illustrating the relationship between the slope of the approximation line (LA) over the past 24 hours and the judgment criteria for the slope of the approximation line (reference value (LA)). [Figure 9] This is a flowchart showing the processing flow of the re-examination subprogram. [Modes for carrying out the invention] 【0031】 (Configuration of the condition change detection system 100) Hereinafter, an embodiment of the substance change detection system according to the present invention will be described with reference to the drawings. Figure 1 is a schematic diagram showing the overall configuration of the substance change detection system 100 according to an embodiment of the present invention. Figure 2 is a block diagram illustrating the schematic of the control system in the substance change detection system 100 shown in Figure 1. Note that the figures referenced in this specification are schematic representations, with some components exaggerated to facilitate understanding of the present invention. Therefore, the dimensions and ratios between components may differ. 【0032】 This condition change detection system 100 is a detection device for detecting changes in the condition of subject P using vital signs obtained from subject P. In this embodiment, the condition change detection system 100 is used by a provider of home medical care to remotely monitor the condition of subject P. Here, subject P refers to a person or animal other than a person (for example, a dog or cat) whose condition is monitored using the condition change detection system 100. 【0033】 Specifically, the target group P includes the elderly, people with disabilities, patients, people with dementia, insomnia, or heatstroke, people with symptoms that interfere with daily life, people who require follow-up observation after illness, people undergoing rehabilitation (hereinafter referred to as "rehabilitation"), healthy people who manage their health, pregnant women, newborns, disaster victims, or athletes. Furthermore, follow-up observation means regularly checking the condition or the effectiveness of treatment and monitoring changes in condition or progression of symptoms. 【0034】 Furthermore, a provider refers to a person who performs medical acts or acts equivalent to medical acts on the subject P, such as a doctor, nurse, pharmacist, or nutritionist. Home medical care refers to a provider visiting the residence where the subject P lives (for example, their home, nursing home, or group home) to provide examinations, treatment, rehabilitation, or health management to the subject P. 【0035】 This condition change detection system 100 is mainly composed of a biological information measuring device 101, a motion detection sensor 110, and a host device 200. 【0036】 The biological information measuring device 101 is a terminal device for measuring the vital signs of subject P. In this embodiment, the biological information measuring device 101 is a known wristwatch-type wearable terminal that can measure the vital signs of subject P while being worn on the subject P's wrist. This biological information measuring device 101 mainly comprises a measurement unit 102, a control unit 103, and a communication unit 105. 【0037】 The measurement unit 102 outputs vital sign data of the subject P measured at predetermined intervals (hereinafter referred to as "vital data") to the control unit 103 according to instructions from the control unit 103. In this embodiment, the measurement unit 102 measures the pulse rate (number of pulses per minute in the arteries of each part of the subject P) and blood oxygen saturation (hereinafter simply referred to as "oxygen saturation") every second as vital signs of the subject P. The interval for measuring vital signs can be set as appropriate. 【0038】 In this case, the measurement unit 102 may measure parameters such as respiratory rate, heart rate (number of heartbeats per minute), blood pressure, body temperature, weight, blood glucose level, or activity level as vital signs in addition to the vital signs of the subject P described above. This measurement unit 102 corresponds to the vital sign acquisition means according to the present invention. 【0039】 The control unit 103 is composed of a microcomputer consisting of a CPU, ROM, RAM, etc., and controls various operations of the biological information measuring device 101 by executing a control program pre-recorded in a storage device such as ROM. Specifically, the control unit 103 controls the operations of the measurement unit 102 and the communication unit 105 according to the control program and instructions from the host device 200, which will be described later. 【0040】 The communication unit 105 is an electrical circuit that sends and receives information to and from the host device 200 via the Internet NW in accordance with instructions from the control unit 103. In this embodiment, the communication unit 105 transmits the vital signs of the subject P, which were most recently acquired, to the host device 200 every 10 minutes in accordance with instructions from the control unit 103. The interval at which vital signs are transmitted to the host device 200 (hereinafter referred to as the "transmission interval") can be set as appropriate. 【0041】 This biological information measuring device 101 includes a power supply unit (not shown) that supplies power to each part that consumes electricity within the biological information measuring device 101, an operation unit (not shown) for inputting instructions to the biological information measuring device 101, and a display unit (not shown) for displaying the results of the operation and the acquired vital data of the subject P. However, these are not directly related to the present invention, so their descriptions are omitted. 【0042】 The motion detection sensor 110 is a detector that outputs an electrical signal corresponding to the change caused by the movement of an object, such as a person or animal, when the object enters or leaves a predetermined area. In this embodiment, it is used to detect whether or not the subject P is getting out of bed or getting into bed. Specifically, the motion detection sensor 110 is composed of a so-called human presence sensor (PIR sensor) that senses the heat (infrared rays) emitted by an object and outputs a motion detection signal corresponding to the change in the amount of infrared rays received. This motion detection sensor 110 is installed on the floor of the bedroom R so that the detection area is around the bed (bed B in this embodiment) where the subject P lies down. 【0043】 In this embodiment, the motion detection sensor 110 includes two motion sensors, a first motion detection sensor 111 and a second motion detection sensor 112, as shown in Figure 3. Specifically, the first motion detection sensor 111 is installed on the foot side of bed B (the foot side when the subject P is lying on their back) so that its detection area is the area to the side of bed B corresponding to the position where the subject P stands when entering or leaving bed B. The second motion detection sensor 112 is installed on the entrance D side of bedroom R at a predetermined distance from the first motion detection sensor 111 so that its detection area is the area that the subject P passes through when leaving bed B or approaching bed B. In Figure 3, the respective detection areas of the first motion detection sensor 111 and the second motion detection sensor 112 are indicated by dot hatching. 【0044】 In this case, the second motion detection sensor 112 should be positioned so that its detection area does not include the area near the entrance / exit D of the bedroom R. This makes it difficult for the second motion detection sensor 112 to detect objects other than the subject P moving near the entrance / exit D of the bedroom R. Furthermore, these first motion detection sensors 111 and the second motion detection sensors 112 are installed at a height that allows them to detect objects at approximately knee height. This motion detection sensor 110, together with the measurement unit 102, corresponds to the vital sign acquisition means (motion detector) according to the present invention. 【0045】 The host device 200 is a computer device that receives vital data of each subject P transmitted from each biological information measuring device 101 and motion detection signals of each subject P transmitted from each motion detection sensor 110, and manages changes in the condition of each subject P. In this embodiment, it is composed of a personal computer (so-called PC). Here, the management of changes in the condition of subject P in the host device 200 refers to the process of monitoring and recording changes in the condition of subject P, and notifying providers and supporters of changes in the condition of subject P. Here, supporters refer to people who support the life of subject P, such as family members, relatives, friends, caregivers who care for subject P, or neighbors who live near subject P. 【0046】 The host device 200 is mainly composed of a storage unit 201, an input unit 202, a control unit 203, an output unit 204, and a communication unit 205. 【0047】 The memory unit 201 is a storage device that stores the condition change detection program and the OS (operating system) for operating the host device 200, and is composed of, for example, an HDD, SSD, ROM, or RAM. This condition change detection program is a computer program that calculates biological indicators using the vital data of the subject P received from the biological information measuring device 101 and the motion detection signals of the subject P received from the motion detection sensor 110, and detects changes in the condition of the subject P based on the calculated biological indicators. 【0048】 Furthermore, the memory unit 201 has pre-recorded medical interview information for confirming the actual condition of subject P when a change in subject P's condition is detected. In this embodiment, the medical interview information consists of information asking about subject P's current state, including questions asking whether there has been a change in subject P's condition, questions asking about the specific content of subject symptoms, and answers to the questions (specifically, answers expressed as multiple-choice options). 【0049】 Specifically, questions to inquire about changes in subject P's condition include, "We detected an abnormality in vital signs. Has your physical condition changed? 1. Yes 2. No." Questions to inquire about the specific nature of subjective symptoms include, "What are your symptoms? ·Loss of appetite ·Fever ·Shortness of breath ·Stomach ache ·Other," "What is your temperature?", "Are you lethargic?", or "Are you able to eat?". 【0050】 Here, biometric indicators are indices used to evaluate the changes in vital signs (vital data) over time. Specifically, these include moving averages, the slope of the approximation line, the standard deviation, the coefficient of variation, or the correlation coefficient calculated for each parameter such as pulse rate, oxygen saturation, and activity level. Biometric indicators may also include the difference or percentage change obtained by comparing the values ​​of each of the aforementioned indicators or measured vital signs between the past and the present. 【0051】 The input unit 202 is an input device for receiving operations from the provider to the host device 200, and in this embodiment, it consists of a keyboard and a mouse. The input unit 202 outputs instructions to the control unit 203 according to the operation. 【0052】 The control unit 203 executes the calculation of biometric indicators and the detection of changes in the condition of subject P by running the condition change detection program. Specifically, the control unit 203 includes an indicator calculation unit 203a, a change detection unit 203b, and a condition notification unit 203c, which are activated by the execution of the condition change detection program. 【0053】 The index calculation unit 203a calculates biometric indicators for each vital sign parameter of each subject P, mainly using the vital data of each subject P received via the communication unit 205. Specifically, the index calculation unit 203a uses a dataset obtained by removing unreliable data as outliers from the received vital data of the subject P to calculate the moving average, the slope of the approximation line, and the standard deviation as biometric indicators for each parameter of pulse rate and oxygen saturation. This index calculation unit 203a corresponds to the index calculation means according to the present invention. 【0054】 Here, an abnormal value is a value that deviates from the range considered normal for the vital signs of subject P. For example, an abnormal value may occur due to the biological information measuring device 101 not being properly attached to subject P, the subject P's body movement during measurement, ambient environmental factors that interfere with measurement such as temperature, humidity, or electromagnetic waves, or a malfunction of the biological information measuring device 101. 【0055】 In this embodiment, the index calculation unit 203a determines and removes abnormal values ​​included in the vital data for each parameter according to the abnormal value determination criteria set based on the moving averages of pulse rate and oxygen saturation over the past three hours. In this case, the index calculation unit 203a determines pulse rate measurements that are ±20 or more in absolute value from the moving average value of pulse rate and oxygen saturation measurements that are -10% or more in absolute value from the moving average value of oxygen saturation as abnormal values ​​and removes them from the received vital data. 【0056】 Furthermore, the index calculation unit 203a uses the dataset from which outliers have been removed to calculate the 3-hour moving average, the slope of the approximation line for the last 24 hours and last 48 hours, and the standard deviations for the last 3 hours, last 24 hours and last 48 hours, respectively, for each parameter of pulse rate and oxygen saturation. 【0057】 Furthermore, the index calculation unit 203a calculates a biological index of activity level using information on the activity level of the subject P represented by the motion detection signal received from the motion detection sensor 110 (hereinafter referred to as "activity level data"). Here, the activity level data is information representing the time and number of times the first motion detection sensor 111 and the second motion detection sensor 112 detected the entry or exit of the subject object to each detection area, and this activity level data corresponds to data (biological information) representing the activity level of the subject P. 【0058】 Specifically, the index calculation unit 203a uses this activity data to calculate the slope and standard deviation of the approximate straight line for the subject P's activity level over the most recent 24 hours and the most recent 48 hours, respectively. Here, activity level is an index that indicates the degree to which subject P is moving their body (or conversely, the degree to which subject P is at rest or still), and in this embodiment, it is an index that quantitatively indicates the activity state in which subject P is moving away from their bed and the rest state in which subject P is staying in their bed. 【0059】 Specifically, activity levels include the number of times subject P gets out of bed, the number of times subject P gets back into bed, the time subject P gets out of bed, the time subject P gets back into bed, the time subject P is active from the time subject P gets out of bed until they get back into bed (hereinafter also referred to as "time out of bed"), the time subject P is in bed from the time they get back into bed until they get out again (hereinafter also referred to as "time inactive"), or the time of day subject P gets out of bed and gets back into bed, the interval between getting out of bed and getting back into bed, or variations thereof, etc. Activity levels may also include the number of times, time of day, frequency, interval, or magnitude of body movements in bed, such as moving around, turning over, or getting up. 【0060】 These activity levels can be estimated based on the order in which the entry or exit of the object into or out of each detection area is detected by the first motion detection sensor 111 and the second motion detection sensor 112, and the time interval between detections. For example, subject P's getting out of bed is estimated when the first motion detection sensor 111 detects the object entering the detection area, and then, after a predetermined time has elapsed, the second motion detection sensor 112 detects the object entering the detection area, indicating that subject P has left their bed. On the other hand, subject P's getting into bed is estimated when, conversely to getting out of bed, the second motion detection sensor 112 detects the object entering the detection area, and then, after a predetermined time has elapsed, the first motion detection sensor 111 detects the object entering the detection area, indicating that subject P has entered their bed. 【0061】 Based on these estimations, the indicator calculation unit 203a can calculate the number of times the subject P gets out of bed, the number of times the subject P gets in, the time the subject P gets out of bed, the time the subject P gets in, the activity time, the time the subject P is in bed, or the subject P's bed-getting pattern. Here, the predetermined time for getting out of bed and getting in is the time required for the subject P to walk between the detection area of ​​the first motion detection sensor 111 and the detection area of ​​the second motion detection sensor 112, and can be set appropriately according to the subject P's walking speed, the subject P's condition, or the layout of the furniture in the bedroom R. In this embodiment, this predetermined time is set between a few seconds and a few minutes. 【0062】 The change detection unit 203b determines whether or not there has been a change in the condition of each subject P based on the individual biological indicators calculated by the indicator calculation unit 203a. In this case, the change detection unit 203b determines the change in the condition of each subject P at the time interval (i.e., the transmission interval; hereinafter referred to as the "scheduled reception interval") at which it is scheduled to receive vital data of the subject P via the communication unit 205. 【0063】 Specifically, the change detection unit 203b determines that the condition of subject P has changed if the moving average over the past three hours exceeds a predetermined standard value corresponding to each subject P, and the standard deviation over the past three hours is within a predetermined range (in this embodiment, the standard deviation of pulse rate is within 10, and the standard deviation of oxygen saturation is within 5). This change detection unit 203b corresponds to the change detection means according to the present invention. Furthermore, the change detection unit 203b that performs a determination process to determine the reliability of the moving average over the past three hours (biometric indicator) using the standard deviation corresponds to the indicator determination means according to the present invention. 【0064】 Furthermore, the change detection unit 203b determines that the condition of subject P has changed if the slope of the approximate straight line over the most recent 24 hours exceeds a predetermined reference value (0.04 in this embodiment) and the standard deviation over the most recent 24 hours is within a predetermined range (same as the predetermined range for the standard deviation over the most recent 3 hours). Furthermore, the change detection unit 203b determines that the condition of subject P has changed if the slope of the approximate straight line over the most recent 48 hours exceeds a predetermined reference value (0.02 in this embodiment) and the standard deviation over the most recent 48 hours is within a predetermined range (same as the predetermined range for the standard deviation over the most recent 3 hours). 【0065】 Furthermore, the change detection unit 203b determines that the condition of subject P is in a state requiring observation and monitoring if the slope of the approximate straight line over the most recent 24 hours is less than the predetermined reference value and is located near the predetermined reference value. In this embodiment, the vicinity of the predetermined reference value refers to the case where 0.02 < slope of the approximate straight line over the most recent 24 hours < 0.04. 【0066】 In this case, the change detection unit 203b re-evaluates the condition of subject P, who has been determined to be in a state requiring observation, based on the latest dataset after a certain period of time has elapsed. In this embodiment, the change detection unit 203b determines that the condition of subject P has changed if the slope of the approximate straight line for the most recent 24 hours, three hours after being determined to be in a state requiring observation, is greater than or equal to the slope of the approximate straight line for the most recent 24 hours at the time of the determination. In this embodiment, the change detection unit 203b does not perform a re-evaluation process of subject P's condition with respect to activity level. 【0067】 When the change detection unit 203b detects a change in the condition of subject P, the condition notification unit 203c notifies the provider and the supporter that the condition of subject P has changed, and also transmits the medical interview information to the supporter. Specifically, in response to the change detection unit 203b detecting a change in condition, the condition notification unit 203c transmits notification information to the provider terminal 300 and the supporter terminal 400, respectively, indicating that a change in the condition of subject P has been detected. 【0068】 Furthermore, the condition notification unit 203c transmits pre-recorded medical interview information to the supporter terminal 400. This condition notification unit 203c corresponds to the condition notification means according to the present invention. In this case, the notification information and medical interview information may consist of, for example, text data, audio data, image data, or video data individually, or a combination thereof. 【0069】 The output unit 204 is an output device that outputs vital data of the subject P received from the biological information measuring device 101 and activity level data represented by the motion detection signal received from the motion detection sensor 110, respectively, in accordance with instructions from the control unit 203. This output unit 204 mainly consists of a display screen 204a. This display screen 204a is a display device that displays the vital data of the subject P and the activity level output data represented by the motion detection signal received via the communication unit 205 in accordance with instructions from the control unit 203, respectively, as images (for example, tables or graphs). In this embodiment, the display screen 204a is composed of a liquid crystal display. 【0070】 The communication unit 205 is an electrical circuit that transmits and receives information between each biometric information measuring device 101, each provider terminal 300, and each supporter terminal 400 via the Internet NW in accordance with instructions from the control unit 203. In this embodiment, the communication unit 205 transmits notification information to the provider terminal 300 and the supporter terminal 400, respectively, in accordance with instructions from the condition notification unit 203c, and also transmits medical interview information to the supporter terminal 400. 【0071】 The provider terminal 300 is a display device that receives notification information transmitted from the host device 200 and presents the content of the notification information to the provider. In this embodiment, it is configured as a smartphone. Here, a smartphone is a mobile phone equipped with an operating system for portable computers, and can perform various processes such as communication, data processing, image processing, and audio processing by operating its LCD display screen. 【0072】 Therefore, the provider terminal 300 is configured to include an input unit 302 consisting of a liquid crystal touch panel and a microphone, a control unit 303 consisting of a microcomputer, an output unit 304 consisting of a liquid crystal display and a speaker, and a communication unit 305 for communicating with the host device 200 via the Internet NW. In this embodiment, the provider terminal 300 receives notification information transmitted from the communication unit 205, displays text data on the liquid crystal display indicating that a change in the condition of the subject P has been detected, and also outputs it as sound through the speaker. 【0073】 The supporter terminal 400 is a communication device that receives medical questionnaire information transmitted from the host device 200, presents the contents of the questionnaire to the supporter, and transmits the answers to the questionnaire to the host device 200. It is configured in substantially the same way as the provider terminal 300. Therefore, for the supporter terminal 400, the explanation of the parts common to the provider terminal 300 will be omitted, and only the parts that differ will be explained. In this embodiment, the supporter terminal 400 receives medical questionnaire information transmitted from the communication unit 205, displays the contents of the questionnaire for confirming the actual condition of the subject P to the supporter as text data on the liquid crystal display, and also outputs it as audio through the speaker. 【0074】 (Operation of the condition change detection system 100) Next, the operation of the condition change detection system 100 configured in this way will be described. In this embodiment, the condition change detection system 100 is used when a medical professional (provider) remotely monitors the condition of a patient (subject P) receiving care at home. First, the attachment of the biological information measuring device 101 will be described. The provider prepares a biological information measuring device 101 and motion detection sensors 110 (first motion detection sensor 111 and second motion detection sensor 112) for each subject P. 【0075】 In this case, the control unit 103 of the biological information measuring device 101 is pre-configured to communicate with the host device 200 and to set the operating patterns of each part of the biological information measuring device 101. The communication settings for the control unit 103 and the operating pattern settings for each part are performed by connecting the host device 200 via the Internet Network (NW). This configuration process is also performed for the motion detection sensor 110. 【0076】 Next, subject P attaches the prepared biometric information measuring device 101 to their wrist. In this case, subject P attaches the biometric information measuring device 101 with its power turned ON. This completes the attachment of the biometric information measuring device 101. Of course, if subject P is unable to attach the biometric information measuring device 101 themselves, a support person may assist or act on their behalf in attaching the device 101. 【0077】 Furthermore, subject P installs motion detection sensors 110 in the bedroom R. Specifically, subject P places the first motion detection sensor 111 at the foot of bed B so that the side of bed B is included in the detection area. Subject P also places the second motion detection sensor 112 close to the first motion detection sensor 111, and adjusts the orientation of the second motion detection sensor 112 so that its detection area extends from the detection area of ​​the first motion detection sensor 111 towards the entrance D of bedroom R at a predetermined distance. 【0078】 In other words, in this embodiment, the first motion detection sensor 111 and the second motion detection sensor 112 are placed together in one location near the foot of the bed B. In this case, the subject P adjusts the orientation so that the detection area of ​​the second motion detection sensor 112 does not include the area near the entrance D of the bedroom R. Of course, if the subject P has difficulty installing the motion detection sensor 110 himself, a support person may assist or act on his behalf in this installation work. 【0079】 On the other hand, the provider on the host device 200 configures the host device 200 to communicate with each biometric information measuring device 101 and each motion detection sensor 110. The provider also configures various settings for collecting vital data (measured values) of the subject P from each biometric information measuring device 101 and various settings for collecting motion detection signals from each motion detection sensor 110. In this embodiment, the provider configures the vital sign parameters so that the biometric information measuring device 101 measures pulse rate and oxygen saturation, and configures the transmission interval so that the vital data for each parameter is sent to the host device 200 at 10-minute intervals. This allows the operation of the condition change detection system 100 to begin. 【0080】 Subsequently, the provider performs input operations to the host device 200 to initiate the detection of the subject P's vital signs using the biological information measuring device 101 and the motion detection sensor 110, respectively. In accordance with the provider's operations, the control unit 203 in the host device 200 executes the condition change detection program shown in Figure 4 in step S100 to start the operation of the condition change detection system 100. 【0081】 Specifically, the control unit 203 controls the operation of the communication unit 205 to instruct the biometric information measuring device 101 and the motion detection sensor 110 to start detecting vital signs via the Internet NW. In response to this instruction, the control unit 103 in the biometric information measuring device 101 controls the operation of the measurement unit 102 to measure the vital signs of the subject P for each of the set parameters. In this embodiment, the measurement unit 102 measures the pulse rate and oxygen saturation of the subject P every second as parameters. In addition, the motion detection sensor 110, consisting of the first motion detection sensor 111 and the second motion detection sensor 112, starts detecting whether the object has entered or exited each detection area in response to the instruction. 【0082】 Next, the control unit 103 periodically transmits the measured vital data of the subject P to the host device 200 based on a pre-set transmission interval. In this embodiment, the control unit 103 controls the operation of the communication unit 105 to transmit to the host device 200 every 10 minutes, as a set of vital data, one most recently measured value for each parameter of pulse rate and oxygen saturation, which are measured every second by the measurement unit 102. Meanwhile, the first motion detection sensor 111 and the second motion detection sensor 112 transmit motion detection signals to the host device 200 when they detect the entry or exit of the subject object to their respective detection areas. 【0083】 Next, in step S102, the control unit 203 instructs the start of execution of the data recording subprogram. This data recording subprogram records the dataset consisting of vital data of subject P, which is used to calculate biometric indicators used when determining the condition of subject P, into the storage unit 201, and also stores the motion detection signal received from the motion detection sensor 110 as activity level data in the storage unit 201. First, in step S200, the control unit 203 starts the execution of the data recording subprogram shown in Figure 5, records the execution start time in the storage unit 201, and proceeds to step S202. 【0084】 Next, in step S202, the control unit 203 determines whether or not it has acquired vital data of subject P. In this case, if the communication unit 205 has received vital data of subject P from the biological information measuring device 101, the control unit 203 determines "Yes" in this determination process and proceeds to step S204. 【0085】 Next, in step S204, the control unit 203 records the vital data of the subject P received via the communication unit 205 and the time of reception of this vital data as a vital data set in the storage unit 201. Then, the control unit 203 returns to step S202. This process of recording the received vital data of the subject P in the storage unit 201 corresponds to the vital data acquisition step according to the present invention. On the other hand, if the communication unit 205 did not receive the vital data of the subject P in step S202, the control unit 203 determines "No" in this determination process and proceeds to step S206. 【0086】 Next, in step S206, the control unit 203 determines whether or not it has received an motion detection signal from the motion detection sensor 110. In this case, if the communication unit 205 has received an motion detection signal, the control unit 203 determines "Yes" in this determination process and proceeds to step S208. 【0087】 Next, in step S208, the control unit 203 generates activity data indicating the activity level of subject P based on the received motion detection signal, and records this activity data and the reception time of the motion detection signal as a dataset in the storage unit 201. Then, the control unit 203 returns to step S202. This process of recording the activity data based on the received motion detection signal in the storage unit 201 corresponds to the vital sign acquisition step according to the present invention. On the other hand, in step S206, if the communication unit 205 did not receive the motion detection signal, that is, if the communication unit 205 did not receive either the vital sign data or the motion detection signal of subject P, the control unit 203 determines "No" in this determination process and proceeds to step S210. 【0088】 Next, in step S210, the control unit 203 records the current time as the time when vital data of subject P could not be received (non-reception time), and proceeds to step S212. 【0089】 Next, in step S212, the control unit 203 executes a predetermined time T1 elapsed determination process. This predetermined time T1 elapsed determination process determines whether a predetermined time T1 has elapsed since the control unit 203 started executing the data recording subprogram or since it last received vital data of subject P. In this embodiment, the predetermined time T1 is 3 hours, but it is not limited to this and can be set appropriately depending on the type of disease subject P is suffering from, the condition of subject P, or the living environment of subject P. 【0090】 Specifically, the control unit 203 determines "No" if the elapsed time from the start time of step S200 or the most recent reception time, whichever is shorter, is less than the predetermined time T1, and returns to step S202. On the other hand, the control unit 203 determines "Yes" if the elapsed time is equal to or greater than the predetermined time T1, and proceeds to step S214. 【0091】 Next, in step S214, the control unit 203 notifies the provider and the supporter that the vital data of subject P has not been received properly, and sends a message to the supporter prompting them to confirm whether the biometric information measuring device 101 is in a state where it can operate properly. In this embodiment, the message prompting confirmation includes information such as whether the biometric information measuring device 101 is attached to subject P, whether the biometric information measuring device 101 is properly attached, whether the measurement environment (temperature, humidity, or electromagnetic waves, etc.) is appropriate, whether the biometric information measuring device 101 is showing any malfunctions, or whether subject P is moving during measurement. 【0092】 In this case, if the control unit 203 determines in step S212 that the vital data of the subject P has not been received for a predetermined time T1, it sends error information indicating that the vital data has not been received properly to the provider terminal 300 and the supporter terminal 400, respectively. The control unit 203 also sends a message prompting confirmation to the supporter terminal 400. Then, the control unit 203 returns to step S202. This data recording subprogram, which repeatedly executes the processes in steps S200 to S212, is always running while the condition change detection program is being executed. 【0093】 Next, in step S104 of the condition change detection program, the control unit 203 determines whether the amount of data that will definitely be used in the change determination subprogram in the next step S106 is stored in the storage unit 201, and whether the vital data dataset is sufficient. In this embodiment, the control unit 203 determines whether the vital data dataset received from the biological information measuring device 101 consists of at least 3 hours' worth of data. 【0094】 Specifically, if the vital data dataset recorded in the memory unit 201 does not contain 3 hours' worth of data, the control unit 203 continues to determine "No" in this determination process until 3 hours' worth of measurements are recorded in the memory unit 201, and returns to step S104. On the other hand, if the vital data dataset contains 3 hours' worth of data, the control unit 203 determines "Yes" in this determination process and proceeds to step S106. 【0095】 Next, in step S106, the control unit 203 performs noise reduction processing to exclude abnormal values ​​included in the received vital data of subject P. This noise reduction processing consists of the following substeps 1 to 4. 【0096】 Substep 1: First, the control unit 203 (indicator calculation unit 203a) calculates biometric indicators for each parameter to set an abnormal value determination criterion that will serve as the basis for determining abnormal values. In this embodiment, the control unit 203 (indicator calculation unit 203a) calculates the most recent 3-hour moving average for each parameter, pulse rate and oxygen saturation, as the biometric indicators for setting the abnormal value determination criterion. 【0097】 Substep 2: Next, the control unit 203 sets abnormal value judgment criteria for each parameter using the biometric indicators calculated in Substep 1. In this embodiment, as shown in Figure 6, the control unit 203 sets a judgment criterion that a pulse rate measurement (absolute value) is abnormal if it is ±20 or more of its moving average value (MA) (illustrated, indicated by the hatched dots). The control unit 203 also sets a judgment criterion that an oxygen saturation measurement (absolute value) is abnormal if it is -10% or more of its moving average value. In this embodiment, the control unit 203 repeatedly performs this noise reduction process at scheduled reception intervals (10-minute intervals in this embodiment). These abnormal value judgment criteria can be set as appropriate. 【0098】 Substep 3: Next, the control unit 203 determines whether the measured values ​​included in the vital data of the subject P received are abnormal values. In this case, if the measured value meets the abnormal value determination criteria for each parameter set in substep 2, the control unit 203 determines that the measured value is an abnormal value and determines "Yes," then proceeds to substep 4. 【0099】 Substep 4: Next, the control unit 203 removes the measured values ​​determined to be abnormal in substep 3 from the vital data of subject P, and records the vital data after the removal of the abnormal values ​​in the storage unit 201 as a dataset to be used for detecting changes in subject P's condition. After that, the control unit 203 proceeds to step S108. 【0100】 On the other hand, the control unit 203 determines "No" if the measured values ​​included in the subject P's vital data do not meet the abnormal value judgment criteria. The control unit 203 then records the received subject P's vital data in the storage unit 201 as a set of vital data for calculating biometric indicators used when detecting changes in subject P's condition, and proceeds to step S108. In this embodiment, the control unit 203 determines "No" because the received pulse vital data does not contain any measured values ​​that meet the abnormal value judgment criteria, and proceeds to step S108. The control unit 203 can omit noise reduction processing for measured values ​​that have already been determined to be abnormal or not through noise reduction processing. 【0101】 Next, in step S108, the control unit 203 executes a change determination subprogram. This change determination subprogram detects changes in the condition of subject P based on biometric indicators calculated using the dataset or activity level data from which abnormal values ​​have been removed by the noise reduction process in step S106. Specifically, the control unit 203 starts executing the change determination subprogram shown in Figure 7 in step S300 and proceeds to step S302. 【0102】 Next, in step S302, the control unit 203 performs a sudden change determination process to determine whether the condition of subject P has changed in a short period of time, or whether there is a sudden change in condition. This sudden change determination process consists of the following substeps 1 and 2. 【0103】 Substep 1: First, the control unit 203 (indicator calculation unit 203a) calculates biometric indicators for each parameter to determine whether or not there has been a change in condition in a short period of time. In this embodiment, the control unit 203 (indicator calculation unit 203a) uses the vital data dataset recorded in step S106 to calculate the moving average and standard deviation of pulse rate and oxygen saturation over the past 3 hours, respectively, as biometric indicators. The process of calculating these biometric indicators corresponds to the indicator calculation step according to the present invention. 【0104】 Substep 2: Next, the control unit 203 (change detection unit 203b) determines whether or not there has been a change in the condition of subject P based on the biometric indicators calculated in substep 1. In this embodiment, if the moving average value over the past 3 hours exceeds a predetermined reference value set in advance by the provider for each subject P, and the standard deviation over the past 3 hours is less than or equal to a predetermined reference value in the standard deviation, the control unit 203 (change detection unit 203b) determines that the condition of subject P has changed and proceeds to step S304. This process of detecting a change in the condition of subject P based on the biometric indicators calculated in substep 1 corresponds to the change detection step according to the present invention. 【0105】 In this embodiment, the predetermined reference values ​​in standard deviation are 10 for the standard deviation of pulse rate and 5 for the standard deviation of oxygen saturation, but these reference values ​​can be set as appropriate. On the other hand, as shown in Figure 8(A), the control unit 203 (change detection unit 203b) determines "No" if the moving average value for the most recent 3 hours is less than or equal to the predetermined reference value in the moving average (indicated, reference value (MA)) or if the standard deviation for the most recent 3 hours exceeds the predetermined reference value in standard deviation, and proceeds to step S304. 【0106】 Next, in step S304, the control unit 203 determines whether the predetermined time T2 elapsed determination process (step S402) of the re-examination subprogram, which will be described later in step S318, is currently being executed. In this case, if the control unit 203 is executing the predetermined time T2 elapsed determination process, it determines "Yes" to this determination process and proceeds to step S320. On the other hand, if the control unit 203 is not executing the predetermined time T2 elapsed determination process, it determines "No" to this determination process and proceeds to step S306. 【0107】 Next, in step S306, the control unit 203 determines whether the amount of data that will definitely be used in the first period condition determination process in the next step S308 has been stored in the storage unit 201, and determines the sufficiency of each dataset of vital data and activity data. In this embodiment, the control unit 203 determines whether each dataset of vital data and activity data is composed of at least 24 hours' worth of data. 【0108】 In this case, if the control unit 203 does not contain 24 hours' worth of data in each of the datasets recorded in the storage unit 201, it determines "No" in this determination process, proceeds to step S328, terminates the execution of the change determination subprogram, and returns to step S110 of the condition change detection program. On the other hand, if the control unit 203 contains 24 hours' worth of data, it determines "Yes" in this determination process and proceeds to step S308. 【0109】 Next, in step S308, the control unit 203 performs a first period condition determination process to determine whether the condition of subject P has changed during a first period that is longer than the period (short time) in the sudden change determination process of step S302. This first period condition determination process consists of the following substeps 1 and 2. 【0110】 Substep 1: First, the control unit 203 (indicator calculation unit 203a) calculates biometric indicators for each parameter to determine whether or not there has been a change in condition during the first period, using the respective datasets. In this embodiment, the control unit 203 (indicator calculation unit 203a) calculates the slope and standard deviation of the approximate line for pulse rate, oxygen saturation, and activity level using the respective datasets for the most recent 24 hours as biometric indicators. In this case, for activity level, the control unit 203 (indicator calculation unit 203a) calculates the slope and standard deviation of the approximate line for each of the detection counts of the first motion detection sensor 111 and the second motion detection sensor 112, the number of times the patient gets out of bed, the number of times the patient enters bed, and the activity time or time spent in bed using the respective datasets for the most recent 24 hours. 【0111】 Substep 2: Next, the control unit 203 (change detection unit 203b) determines whether or not there has been a change in the condition of subject P based on the biometric indicators calculated in substep 1. Specifically, regarding vital data, as shown in Figure 8(B), the control unit 203 (change detection unit 203b) determines "Yes" if the slope of the approximate straight line (LA) for the most recent 24 hours exceeds a predetermined reference value for that slope (illustrated, reference value (LA)), and the standard deviation for the most recent 24 hours is less than or equal to a predetermined reference value for the standard deviation, and proceeds to step S314. In this embodiment, the predetermined reference value for the slope of the approximate straight line is 0.04, and the predetermined reference value for the standard deviation is the same as the predetermined reference value for the standard deviation in step S302. 【0112】 Substep 2: The control unit 203 (change detection unit 203b) determines "Yes" for the activity data if the slope of the approximate straight line for the most recent 24 hours exceeds a predetermined reference value for that slope, and the standard deviation for the most recent 24 hours is less than or equal to a predetermined reference value for the standard deviation, and proceeds to step S314. Here, the predetermined reference values ​​for the slope of the approximate straight line and the standard deviation can be set appropriately according to the type of disease that subject P is suffering from, subject P's condition, or subject P's living environment. 【0113】 On the other hand, the control unit 203 (change detection unit 203b) determines "No" if the slope of the approximate straight line for the most recent 24 hours is below the predetermined reference value for that slope, or if the standard deviation for the most recent 24 hours exceeds the predetermined reference value for the standard deviation, and proceeds to step S310. 【0114】 Next, in step S310, the control unit 203 determines whether the amount of data that will definitely be used in the second period condition determination process in the next step S312 is stored in the storage unit 201, and determines the sufficiency of each dataset of vital data and activity data. In this embodiment, the control unit 203 determines whether each dataset of vital data and activity data is composed of at least 48 hours' worth of data. 【0115】 Specifically, if each of the datasets recorded in the memory unit 201 does not contain 48 hours' worth of data, the control unit 203 determines "No" in this determination process, proceeds to step S328, terminates the execution of the change determination subprogram, and returns to step S110 of the condition change detection program. On the other hand, if each of the datasets contains 48 hours' worth of data, the control unit 203 determines "Yes" in this determination process and proceeds to step S312. 【0116】 Next, in step S312, the control unit 203 performs a second period condition determination process to determine whether the condition of subject P has changed during the second period, which starts at the same time as the first period in step S308 and is longer than the first period. This second period condition determination process consists of the following substeps 1 and 2. 【0117】 Substep 1: First, the control unit 203 (indicator calculation unit 203a) calculates biometric indicators for each parameter to determine whether or not there has been a change in condition during the second period, using the respective datasets. In this embodiment, the control unit 203 (indicator calculation unit 203a) calculates the slope and standard deviation of the approximate line for pulse rate, oxygen saturation, and activity level using the respective datasets for the most recent 48 hours as biometric indicators. In this case, for activity level, the control unit 203 (indicator calculation unit 203a) calculates the slope and standard deviation of the approximate line for each of the detection counts of the first motion detection sensor 111 and the second motion detection sensor 112, the number of times the patient gets out of bed, the number of times the patient enters bed, and the activity time or time spent in bed using the respective datasets for the most recent 48 hours. 【0118】 Substep 2: Next, the control unit 203 (change detection unit 203b) determines whether or not there has been a change in the condition of subject P based on the biometric indicators calculated in substep 1. Specifically, if the slope of the approximate straight line for the most recent 48 hours exceeds a predetermined reference value for that slope, and the standard deviation for the most recent 48 hours is less than or equal to a predetermined reference value for the standard deviation, the control unit 203 (change detection unit 203b) determines that the condition of subject P has changed and determines "Yes," and proceeds to step S314. 【0119】 In this embodiment, the predetermined reference value for the slope of the approximate line of vital data is 0.02, and the predetermined reference value for the standard deviation is the same as the predetermined reference value for the standard deviation in step S302. Furthermore, the predetermined reference values ​​for the slope of the approximate line of activity data and the standard deviation can be set appropriately according to the type of disease that subject P is suffering from, the condition of subject P, or the living environment of subject P. 【0120】 Next, in step S314, the control unit 203 (condition notification unit 203c) notifies the provider that the condition of subject P has changed and transmits medical interview information to the supporter. Specifically, if the control unit 203 (condition notification unit 203c) determines that the condition of subject P has changed in at least one of steps S302, S308, or S312, it transmits notification information indicating that a change in the condition of subject P has been detected to the provider terminal 300 and the supporter terminal 400, respectively. The control unit 203 (condition notification unit 203c) also transmits medical interview information pre-recorded in the storage unit 201 to the supporter terminal 400. 【0121】 In this case, the supporter who receives the medical questionnaire information operates the input unit 402 of the supporter terminal 400 to input the answers to the questionnaire and transmits the answers to the provider terminal 300 via the Internet NW. The provider who receives these answers decides on the treatment for subject P by considering the vital data and activity level data of subject P included in the notification information received from the host device 200 and the answers received from the supporter terminal 400. 【0122】 On the other hand, the control unit 203 (change detection unit 203b) determines "No" if the slope of the approximate straight line for the most recent 48 hours falls below the predetermined reference value for that slope, or if the standard deviation for the most recent 48 hours exceeds the predetermined reference value for the standard deviation, and proceeds to step S316. 【0123】 Next, in step S316, the control unit 203 (change detection unit 203b) determines whether the subject P's condition is in a state requiring observation. Here, a state requiring observation means a state in which the subject P's condition needs to be reassessed after a predetermined period of time. Specifically, if the slope of the approximate straight line for the most recent 24 hours in the vital data is outside a predetermined range, the control unit 203 (change detection unit 203b) determines that the subject P's condition does not require observation and determines "No," proceeding to step S328 to terminate the execution of the change determination subprogram and returning to step S110 of the condition change detection program. In this embodiment, the predetermined range is the range in which the slope of the approximate straight line for the most recent 24 hours is greater than 0.02 and less than 0.04. 【0124】 On the other hand, the control unit 203 (change detection unit 203b) determines "Yes" if the slope of the approximate straight line for the most recent 24 hours in the vital data is within the predetermined range, indicating that the subject P's condition requires observation. The control unit 203 (change detection unit 203b) also records the time when "Yes" was determined (hereinafter referred to as the "observation start time") in the storage unit 201 and proceeds to step S318. 【0125】 Next, in step S318, the control unit 203 instructs the start of execution of the re-examination subprogram. In this case, after instructing the start of execution of the re-examination subprogram in step S318, the control unit 203 proceeds to step S328 and returns to step S110 of the condition change detection program. Therefore, the control unit 203 then executes the processing of the condition change detection program while simultaneously executing the processing of the re-examination subprogram. First, the execution process of the re-examination subprogram will be explained. 【0126】 This re-examination subprogram re-evaluates the condition of subject P, whose condition was determined to require observation in step S316 of the change determination subprogram, after a certain period of time. Specifically, the control unit 203 starts the execution of the re-examination subprogram shown in Figure 9 in step S400, records the execution start time in the storage unit 201, and proceeds to step S402. 【0127】 Next, in step S402, the control unit 203 executes a predetermined time T2 elapsed determination process. This predetermined time T2 elapsed determination process determines whether a predetermined time T2 (3 hours in this embodiment) has elapsed since the control unit 203 determined in step S316 that the person requires observation. This predetermined time T2 can be set appropriately according to the type of disease the person P is suffering from, the condition of the person P, or the living environment of the person P. 【0128】 Specifically, the control unit 203 determines "No" if the elapsed time from the observation start time in step S316 is less than the predetermined time T2, and returns to step S402. On the other hand, the control unit 203 determines "Yes" if the elapsed time is equal to or greater than the predetermined time T2, and proceeds to step S404. 【0129】 Next, in step S404, the control unit 203 performs a re-determination process to determine whether the condition of subject P, which was determined to require observation in step S316, remains poor even after the predetermined time T2 of step S402 has elapsed. This re-determination process consists of the following substeps 1 and 2. 【0130】 Substep 1: First, the control unit 203 (indicator calculation unit 203a) calculates a biometric indicator for each parameter in the vital data to determine whether or not there has been a change in condition during the first period, similar to substep 1 of step S308 of the change determination subprogram. 【0131】 Substep 2: Next, the control unit 203 (change detection unit 203b) determines whether or not there has been a change in the condition of subject P based on the biometric indicators calculated in substep 1. Specifically, if the slope of the approximate straight line for the most recent 24 hours in the vital data is greater than or equal to the slope of the approximate straight line for the most recent 24 hours in the vital data calculated in step S308, the control unit 203 (change detection unit 203b) determines that subject P's condition is poor and determines "Yes," then proceeds to step S406. 【0132】 Next, in step S406, the control unit 203 (condition notification unit 203c) notifies the provider that the condition of subject P is poor, in substantially the same manner as in step S314 of the change determination subprogram, and transmits medical interview information to the support staff. Specifically, if the control unit 203 (condition notification unit 203c) determines in substep 2 of step S404 that the condition of subject P is poor, it transmits notification information to the provider terminal 300 and the support staff terminal 400, respectively, and transmits medical interview information to the support staff terminal 400. The response of the support staff upon receiving the medical interview information and the response of the provider upon receiving the notification information and the support staff's response are the same as the response after step S314, so the explanation is omitted. 【0133】 On the other hand, if the slope of the approximate straight line for the most recent 24 hours in the vital data is smaller than the slope of the approximate straight line for the most recent 24 hours in the vital data calculated in step S308, the control unit 203 (change detection unit 203b) determines that the condition of subject P has improved at the time of step S316 and determines "No", then proceeds to step S408. 【0134】 Next, in step S408, the control unit 203 terminates the execution of the re-examination subprogram, proceeds to step S328 of the change determination subprogram, and returns to step S110 of the condition change detection program. 【0135】 Next, we will describe each process of the condition change detection program, which is executed in parallel with the re-examination subprogram. After step S318, in step S328, the control unit 203 terminates the execution of the change determination subprogram and returns to step S110 of the condition change detection program. 【0136】 Next, in step S110, the control unit 203 determines whether or not to terminate the execution of the condition change detection program. In this embodiment, since the control unit 203 has not received an instruction from the provider to terminate the program execution, it determines "No" to continue the execution of the condition change detection program and returns to step S106. In other words, the control unit 203 continues to detect changes in the condition of subject P. 【0137】 Next, the control unit 203 performs noise reduction processing in the same manner as the process in step S106 described earlier, and then proceeds to step S108. Next, in step S108, the control unit 203 executes the change determination subprogram as described above, and proceeds to step S304 via steps S300 and S302. 【0138】 Next, in step S304, the control unit 203 determines whether the predetermined time T2 elapsed determination process (step S402) of the re-examination subprogram in step S318 is currently being executed. In this case, the control unit 203 determines "Yes" because the predetermined time T2 elapsed determination process is currently being executed, and proceeds to step S320. 【0139】 Next, in step S320, the control unit 203 performs a first period condition determination process, which is substantially the same as the first period condition determination process in step S308, to determine whether or not the condition of subject P has changed during the first period. Therefore, regarding the first period condition determination process in step S320, the explanation of the parts that are common with the determination process in step S308 will be omitted, and only the parts that differ will be explained. 【0140】 Specifically, in substep 2 of step S320, the control unit 203 (change detection unit 203b) determines "No" if the slope of the approximate straight line for the most recent 24 hours falls below the predetermined reference value for that slope, or if the standard deviation for the most recent 24 hours exceeds the predetermined reference value for the standard deviation, and proceeds to step S322. 【0141】 Next, in step S322, the control unit 203 performs a second-period condition determination process, which is substantially the same as the second-period condition determination process in step S312, to determine whether or not the condition of subject P has changed during the second period. Therefore, regarding the second-period condition determination process in step S322, the explanation of the parts that are common with the determination process in step S312 will be omitted, and only the parts that differ will be explained. 【0142】 Specifically, in substep 2 of step S322, the control unit 203 (change detection unit 203b) determines "No" if the slope of the approximate straight line for the most recent 48 hours falls below the predetermined reference value for that slope, or if the standard deviation for the most recent 48 hours exceeds the predetermined reference value for the standard deviation, and proceeds to step S324. 【0143】 Next, in step S324, the control unit 203 (change detection unit 203b) determines whether the condition of subject P is in a state requiring observation, which is substantially the same as the observation-requiring state determination process in step S316. Therefore, regarding the observation-requiring state determination process in step S324, the explanation of the parts that are common with the determination process in step S316 will be omitted, and only the parts that differ will be explained. 【0144】 Specifically, in step S324, the control unit 203 (change detection unit 203b) determines "Yes" if the slope of the approximate straight line for the most recent 24 hours in the vital data is within the predetermined range, indicating that the subject P's condition requires observation. The control unit 203 (change detection unit 203b) also records the time at which "Yes" was determined in the storage unit 201 and proceeds to step S326. 【0145】 Next, in step S326, the control unit 203 instructs the start of execution of the re-examination subprogram, similar to step S318. In this case, as already explained in step S318, the control unit 203 executes the processing of the condition change detection program while simultaneously executing the processing of the re-examination subprogram. 【0146】 Therefore, the control unit 203 repeatedly executes the first period condition determination process, the second period condition determination process, the condition requiring observation determination process, and the re-examination subprogram in steps S320 to S326 until the currently running re-examination subprogram is completed or the execution of the condition change detection program is interrupted, thereby continuing to determine the change in the condition of subject P. 【0147】 However, in step S110, the control unit 203 determines "Yes" to terminate the execution of the condition change detection program if the provider has given an instruction to terminate the program execution, and proceeds to step S112. Then, in step S112, the control unit 203 terminates the execution of the condition change detection program. 【0148】 As can be understood from the above description of operation, according to the above embodiment, the condition change detection system 100 is configured to detect changes in the condition of subject P based on biometric indicators calculated for each of two recent periods of different lengths (the most recent 24 hours and the most recent 48 hours) by the control unit 203 (change detection unit 203b). Therefore, the condition change detection system 100 can accurately detect changes in the condition of subject P even when the rate of symptom progression differs. 【0149】 Furthermore, the present invention is not limited to the embodiments described above, and various modifications are possible as long as they do not depart from the purpose of the present invention. In the description of each modified example, the same reference numerals are used for parts that are the same as in the embodiments described above, and redundant descriptions are omitted. 【0150】 For example, in the above embodiment, the condition change detection system 100 is configured as a wristwatch-type wearable terminal that is attached to the wrist of the subject P, which is the biological information measuring device 101. However, the biological information measuring device 101 is not limited to this embodiment as long as it is a device that can acquire the vital signs of the subject P. For example, the biological information measuring device 101 can be configured as a ring-type wearable terminal, a wristband-type wearable terminal, a thermometer, a blood pressure monitor, a weighing scale, a body composition analyzer, a pulse oximeter, a blood glucose meter for measuring blood glucose, or a sheet-type measuring device that is placed under the lying subject P to measure the subject P's body movements. 【0151】 Furthermore, in the above embodiment, the motion detection sensor 110 is configured as a human presence sensor utilizing infrared light. However, the motion detection sensor 110 can be configured as a detection means that detects the presence of a person or object using a method other than infrared light. For example, the motion detection sensor 110 may be configured as a detector that detects the presence of the object using millimeter waves, microwaves, or ultrasound. Alternatively, the motion detection sensor 110 may be configured as a sheet-type load sensor that is placed under the subject P's bed, under the pillow, at the edge of the bed B, or at the feet beside the bed B to measure the subject P's body movements, changes in posture, getting out of bed, or getting back into bed. In addition, the motion detection sensor 110 can also be configured as an imaging device that uses a camera to determine the presence or absence of the subject P on the bed B or the subject P's body movements through image processing. 【0152】 Furthermore, in the above embodiment, the motion detection sensor 110 is configured to include two detectors (a first motion detection sensor 111 and a second motion detection sensor 112). However, the motion detection sensor 110 only needs to be configured to detect activities such as the subject P getting out of bed or getting into bed, and can also be configured to include one detector (for example, only the first motion detection sensor 111) or three or more detectors. 【0153】 Furthermore, in the above embodiment, the motion detection sensor 110 has two detectors (first motion detection sensor 111 and second motion detection sensor 112) installed together in one location. This allows the motion detection sensor 110 to consolidate multiple detectors in one location and make management easier. However, the motion detection sensor 110 may also have multiple detectors placed in separate locations. For example, the motion detection sensor 110 may have the first motion detection sensor 111 placed at the foot of the bed B, and the second motion detection sensor 112 placed at a predetermined distance from the first motion detection sensor 111, with each detection area extending parallel to the other. 【0154】 Furthermore, in the above embodiment, the motion detection sensor 110 has two detectors installed at the foot of bed B, facing the head of bed B. However, the installation position and orientation of the motion detection sensor 110 can be arbitrarily set, as long as they are in a position and orientation that can detect when the subject P enters or leaves bed B (gets out of bed or gets in bed). 【0155】 Furthermore, in the above embodiment, the motion detection sensor 110 is installed so that its detection range is at a height approximately the height of a person's knees. This allows the motion detection sensor 110 to more accurately detect the actual standing position and movement of the subject P by detecting the movement of the person's lower body. In addition, if the subject P owns a pet such as a cat or dog, the motion detection sensor 110 can reduce the detection of the pet's behavior. However, the height of the detection area of ​​the motion detection sensor 110 can be set arbitrarily, as long as it is at a height that can detect when the subject P enters or leaves the bed B (getting out of bed or getting into bed). 【0156】 Furthermore, in the above embodiment, the condition change detection system 100 is configured to use activity level as a vital sign for detecting changes in the condition of subject P. According to this configuration, the condition change detection system 100 can estimate changes in subject P's condition from their behavior. However, the condition change detection system 100 can also be configured without using activity level as a vital sign for detecting changes in subject P's condition. 【0157】 Furthermore, in the above embodiment, the condition change detection system 100 is configured to use a motion detection sensor 110 as a vital sign acquisition means. With this configuration, since the motion detection sensor 110 is not directly attached to the subject P's body, the condition change detection system 100 can detect changes in the subject P's condition even when the vital signs of the subject P cannot be acquired by the vital sign measurement device 101, such as when the vital sign measurement device 101 falls off, is not attached, or is removed by the subject P. 【0158】 Specifically, situations in which the vital signs of subject P cannot be obtained by the biometric information measuring device 101 include cases where the biometric information measuring device 101 is unintentionally dislodged due to the subject P's body movements during sleep or daily activities, where the subject P forgets to reattach the biometric information measuring device 101 after temporarily removing it for bathing or charging, or where subject P with impaired cognitive function or a young subject P removes the biometric information measuring device 101 themselves. However, the condition change detection system 100 can also be configured using only the biometric information measuring device 101, omitting the motion detection sensor 110 as a means of obtaining vital signs. 【0159】 Furthermore, in the above embodiment, the condition change detection system 100 is configured such that the control unit 203 (change detection unit 203b) determines the condition of subject P based on each biological indicator over the most recent 24 hours (first period) and the most recent 48 hours (second period). With this configuration, the condition change detection system 100 can accurately detect changes in the condition of subject P even when the rate of symptom progression differs. In addition, the condition change detection system 100 can analyze changes in condition during a specific time period (second period including the first period) in the short term and long term using each biological indicator over the first and second periods, thereby improving the accuracy of condition change detection. 【0160】 However, the condition change detection system 100 can be configured such that the control unit 203 (change detection unit 203b) determines the condition of subject P based on each biological indicator in a first period including at least the most recent few hours and a second period adjacent to or partially overlapping with the first period. According to this, the condition change detection system 100 can analyze changes in the condition of subject P that occur across two consecutive periods, and can more easily detect changes in condition that are difficult to detect with each biological indicator in the two periods whose starting points coincide. 【0161】 Furthermore, in the above embodiment, the first period was defined as the most recent 24 hours and the second period as the most recent 48 hours. However, the first and second periods are simply two periods with the same starting point, where the first period includes at least the most recent few hours and the second period is longer than the first period. Therefore, the first and second periods could, for example, be defined as the most recent 3 hours for the first period and the most recent 6 hours for the second period. 【0162】 Furthermore, in the above embodiment, the second period was configured to be twice the length of the first period. However, the second period only needs to be longer than the first period and is not necessarily limited to the above embodiment. In this case, the length of the second period is preferably 1.3 times the length of the first period, preferably 1.5 times, more preferably 2 times, and may be more than 2 times the length of the first period. According to this, the condition change detection system 100 can detect changes in the condition of subject P that appear slowly over a longer period than the first period (for example, several hours to several days) due to diseases such as pneumonia, heart failure, infection, or dehydration, and can easily detect changes in condition that are difficult to detect with biological indicators in the first period. 【0163】 Furthermore, in the above embodiment, the condition change detection system 100 is configured to perform a sudden change detection process that determines the condition of subject P using a moving average calculated over a period shorter than the first period (the most recent 3 hours) as a biometric indicator. In this case, the period (short period) for calculating the moving average only needs to be shorter than the first period and is not necessarily limited to the above embodiment. In this case, the period for calculating the moving average is preferably 1 hour or more, and more preferably 3 hours or more. 【0164】 Furthermore, in the above embodiment, the condition change detection system 100 is configured such that the control unit 203 (change detection unit 203b) detects changes in the condition of subject P based on a moving average in the sudden change determination process. However, the biometric indicators used in the sudden change determination process are not limited to moving averages. Specifically, the slope of the approximation line, standard deviation, coefficient of variation, or correlation coefficient can be used as biometric indicators in the sudden change determination process. 【0165】 Furthermore, in the above embodiment, the condition change detection system 100 is configured such that the control unit 203 performs a sudden change determination process for vital data. According to this, the condition change detection system 100 can detect rapid changes in condition that occur in a shorter time than the first period (for example, from a few minutes to a few hours) due to diseases such as asphyxiation, myocardial infarction, stroke, or aortic dissection, and can easily detect changes in condition that are difficult to detect with biological indicators in the first period. However, the condition change detection system 100 can be configured without performing the sudden change determination process. 【0166】 Furthermore, in the above embodiment, the condition change detection system 100 is configured such that the control unit 203 does not perform a sudden change determination process for the activity level data. However, the condition change detection system 100 can also be configured to perform a sudden change determination process for the activity level data in the same way as the vital data output by the biological information measuring device 101. In this case, the condition change detection system 100 can set a predetermined period (shorter than the first period) of activity level data used to calculate biological indicators in the sudden change determination process to the most recent 12 hours or the most recent 18 hours, etc. 【0167】 Furthermore, in the above embodiment, the condition change detection system 100 is configured to detect changes in the condition of subject P using standard deviation in each of the processes: the sudden change determination process, the first period condition determination process, and the second period condition determination process. This allows the condition change detection system 100 to determine whether the dataset used to calculate the biometric indicators (moving average or slope of the approximate line) used in each determination process is reliable data. In other words, the condition change detection system 100 can determine the reliability of the biometric indicators used in each determination process, thereby suppressing false detections based on unreliable biometric indicators and improving the accuracy of condition change detection. However, the condition change detection system 100 may be configured to omit the determination using standard deviation in each of the above determination processes. 【0168】 Furthermore, in the above embodiment, the condition change detection system 100 is configured to execute a condition requiring observation determination process in which the control unit 203 determines that the condition of subject P is in a state requiring observation if the slope of the approximate straight line in the first period condition determination process is less than a predetermined reference value and the value of the slope of the approximate straight line is near the reference value. However, the biometric indicator used in the condition requiring observation determination process is not limited to the slope of the approximate straight line in the first period. Specifically, the biometric indicator used in the condition requiring observation determination process can be a moving average, standard deviation, coefficient of variation, or correlation coefficient, regardless of the period of the dataset (most recent 3 hours, most recent 24 hours, or most recent 48 hours). 【0169】 Furthermore, in the above embodiment, the condition change detection system 100 is configured such that the control unit 203 performs the process for determining whether a person needs observation. This allows the condition change detection system 100 to estimate in advance which individuals P may experience a change in their condition. However, the condition change detection system 100 can be configured without performing the process for determining whether a person needs observation. 【0170】 Furthermore, in the above embodiment, the condition change detection system 100 is configured such that the control unit 203 does not perform a condition requiring observation determination process for the activity level data. However, the condition change detection system 100 can also be configured to perform a condition requiring observation determination process for the activity level data in the same way as the vital data output by the biological information measuring device 101. In this case, the condition change detection system 100 can set the predetermined time T2 in the condition requiring observation determination process to the most recent 12 hours or the most recent 18 hours, etc. The predetermined time T2 can be set appropriately according to the age of the subject P, the type of disease, the severity of the disease, the health status of the subject P, the content of the treatment, or whether or not the subject has a chronic disease. In addition, the condition change detection system 100 can also be configured to execute a re-examination subprogram for the activity level data in the same way as the vital data output by the biological information measuring device 101 in conjunction with the condition requiring observation determination process. 【0171】 Furthermore, in the above embodiment, the condition change detection system 100 was configured with the predetermined time for the predetermined time T2 elapsed judgment process in the re-examination subprogram set to 3 hours. According to the inventors, elderly people, who are the main target of home medical care, are prone to an increase in vital signs such as pulse rate and respiratory rate due to daily activities such as defecation, eating, exercise, or bathing, and it is known that it takes about 2 to 3 hours for them to return to a normal state once they have increased. Therefore, by re-examining a target person P suspected of having a change in condition after 3 hours, it is possible to eliminate fluctuations in vital signs caused by daily life and improve the accuracy of the examination. However, the predetermined time can be appropriately set according to the age of the target person P, the type of disease, the severity of the disease, the health status of the target person P, the content of the treatment, or whether or not they have a chronically ill disease, and is not limited to the above embodiment. 【0172】 Furthermore, in the above embodiment, the condition change detection system 100 is configured to repeatedly execute the sudden change determination process, the first period condition determination process, the second period condition determination process, the condition requiring observation determination process, and the re-examination subprogram until the predetermined time T2 has elapsed, in the predetermined time T2 elapsed determination process included in the re-examination subprogram. This makes it easier for the condition change detection system 100 to detect changes in the condition of subject P, such as changes in subject P's condition at the predetermined time T2 or changes in subject P's vital data that are observed multiple times during a certain period including the predetermined time T2. However, the condition change detection system 100 only needs to execute a determination process that can detect changes in subject P's condition until the predetermined time T2 has elapsed, and the determination process is not limited to the above embodiment. 【0173】 Furthermore, in the above embodiment, the condition change detection system 100 is configured to include a condition notification unit 203c that notifies the subject P of a change in condition in response to the detection of a change in the subject P's condition by the change detection unit 203b. With this configuration, the condition change detection system 100 can quickly notify the subject P of a change in condition in response to the detection of a change in the subject P's condition, even if the subject P is unaware of a change in their condition (no subjective symptoms) or is unable to call for help. In addition, the condition change detection system 100 can also notify people at a distance of the change in the subject P's condition. 【0174】 However, the condition change detection system 100 can be configured to notify error information indicating that the vital data of subject P has not been received properly if the standard deviation is outside a predetermined range, that is, if the reliability of the dataset used to calculate the biometric indicators is low, regardless of whether or not the change detection unit 203b has detected anything. In this case, the error information may be notified only to the provider or the supporter, or to both the provider and the supporter. 【0175】 Furthermore, in the above embodiment, the condition change detection system 100 is configured to notify the provider and support staff that the condition of subject P has changed when a change in subject P's condition is detected, and to transmit medical interview information to the support staff. In this way, the condition change detection system 100 can prompt the provider and support staff to confirm the actual condition of subject P through the notification information and medical interview information. However, the condition change detection system 100 may be configured to omit the transmission of notification information and / or medical interview information to the support staff, or to omit the transmission of notification information to the provider. 【0176】 Furthermore, in the above embodiment, the condition change detection system 100 is configured such that the control unit 203 does not perform noise reduction processing on the activity level data. However, the condition change detection system 100 can also be configured to perform noise reduction processing on the activity level data in the same way as the vital data output by the biological information measuring device 101. [Explanation of symbols] 【0177】 B...bed, D...entrance (bedroom), NW...internet, P...subject, R...bedroom 100...Condition change detection system, 101...Biological information measuring device, 102...Measurement unit, 103...Control unit, 105...Communication unit, 110...Motion detection sensor, 111...First motion detection sensor, 112...Second motion detection sensor, 200...Host device, 201...Storage unit, 202...Input unit, 203...Control unit, 203a...Indicator calculation unit, 203b...Change detection unit, 203c...Condition notification unit, 204...Output unit, 204a...Display screen, 205...Communication unit, 300...Provider terminal, 302...Input unit, 303...Control unit, 304...Output unit, 305... Communications Department, 400...Supporter terminal, 402...Input unit.

Claims

[Claim 1] A system for detecting changes in the condition of a subject, A means for obtaining the vital signs of the subject, An index calculation means for calculating a biometric index for evaluating the changes in the acquired vital signs over time, The system includes a change detection means for detecting changes in the condition of the subject based on the calculated biometric indicators, The aforementioned index calculation means is Using the vital signs in two periods where the starting points coincide, a first period including at least the most recent few hours and a second period longer than the first period, the slope of the approximate straight line for each period is calculated as the biometric indicator. The change detection means is A condition change detection system characterized by detecting changes in the condition of the subject based on the slope of the approximate straight line for each period calculated above. [Claim 2] A system for detecting changes in the condition of a subject, A means for obtaining the vital signs of the subject, An index calculation means for calculating a biometric index for evaluating the changes in the acquired vital signs over time, The system includes a change detection means for detecting changes in the condition of the subject based on the calculated biometric indicators, The aforementioned index calculation means is Using the vital signs in a first period that includes at least the most recent few hours and a second period that is adjacent to or partially overlaps with the first period, the slope of the approximate straight line for each period is calculated as the biometric indicator. The change detection means is A condition change detection system characterized by detecting changes in the condition of the subject based on the slope of the approximate straight line for each period calculated above. [Claim 3] In the condition change detection system described in claim 1 or claim 2, The second period mentioned above is, A system for detecting changes in the condition of a substance, characterized in that the duration of the first period is at least 1.5 times longer. [Claim 4] In the condition change detection system described in claim 1 or claim 2, The aforementioned index calculation means is A system for detecting changes in a patient's condition, characterized by calculating a moving average as the biometric index using the vital signs acquired over a period shorter than the first period. [Claim 5] In the condition change detection system described in claim 1 or claim 2, The change detection means is A condition change detection system characterized in that, when no change in the subject's condition is detected by comparing the biometric indicator with a predetermined threshold and the biometric indicator is located near the threshold, it is determined that the subject's condition requires observation and monitoring. [Claim 6] In the condition change detection system described in claim 1 or claim 2, The aforementioned vital sign acquisition means is A condition change detection system characterized by comprising a motion detector that detects the action of the subject leaving or approaching the bed. [Claim 7] In the condition change detection system described in claim 1 or claim 2, further, A condition change detection system characterized by comprising indicator determination means for determining the reliability of the aforementioned biological indicator. [Claim 8] In the condition change detection system described in claim 1 or claim 2, further, A condition change detection system characterized by comprising a condition notification means that notifies that the condition of the subject has changed in response to the detection by the change detection means. [Claim 9] A condition change detection program that causes a computer device to perform a process to detect changes in the condition of a subject, The aforementioned computer device, A vital signs acquisition step to obtain the vital signs of the subject, An index calculation step for calculating a biometric index for evaluating the changes in the acquired vital signs over time, The system then performs a change detection step, which detects changes in the subject's condition based on the calculated biometric indicators. The aforementioned indicator calculation step is: Using the vital signs in two periods where the starting points coincide, a first period including at least the most recent few hours and a second period longer than the first period, the slope of the approximate straight line for each period is calculated as the biometric indicator. The change detection step is, A condition change detection program characterized by detecting changes in the subject's condition based on the slope of the approximate straight line calculated for each period. [Claim 10] A condition change detection program that causes a computer device to perform a process to detect changes in the condition of a subject, The aforementioned computer device, A vital signs acquisition step to obtain the vital signs of the subject, An index calculation step for calculating a biometric index for evaluating the changes in the acquired vital signs over time, The system then performs a change detection step, which detects changes in the subject's condition based on the calculated biometric indicators. The aforementioned indicator calculation step is: Using the vital signs in a first period that includes at least the most recent few hours and a second period that is adjacent to or partially overlaps with the first period, the slope of the approximate straight line for each period is calculated as the biometric indicator. The change detection step is, A condition change detection program characterized by detecting changes in the subject's condition based on the slope of the approximate straight line calculated for each period.

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