JP7519805B2 - Abnormality judgment device, abnormality judgment program, and computer-readable recording medium - Google Patents

Description

The present invention relates to an abnormality determination device, an abnormality determination program, and a computer-readable recording medium.

Conventionally, devices have been proposed that attach a vital sensor and an acceleration sensor to a subject and determine whether there is something wrong with the subject based on the signals from these sensors (see, for example, Patent Documents 1 and 2). When the subject's movements are no longer detected based on the signal from the acceleration sensor, this device determines whether there is something wrong with the subject based on the output from the vital sensor.

JP 2017-209176 A JP 2017-211719 A

However, the devices described in Patent Documents 1 and 2 use signals from an acceleration sensor as a trigger to determine abnormalities in the subject based on signals from a vital sensor, and are unable to determine emergency conditions, such as cerebral infarction or myocardial infarction, based on signals from an acceleration sensor.

The present invention has been made to solve these problems, and its purpose is to provide an abnormality determination device, an abnormality determination program, and a computer-readable recording medium that can determine cerebral infarction and myocardial infarction based on signals from an acceleration sensor.

The abnormality determination device according to the present invention is an abnormality determination device that determines an abnormality in a subject based on a signal from an acceleration sensor attached to the subject, and includes a first storage means that stores a trend in acceleration changes related to at least one of emergency diseases, cerebral infarction and myocardial infarction, as a disease trend, a trend determination means that determines whether the acceleration changes obtained by the acceleration sensor match the disease trend stored in the first storage means, and a disease determination means that determines that an emergency disease abnormality has occurred in the subject when the trend determination means determines that the acceleration changes match the disease trend.

The abnormality judgment program according to the present invention is an abnormality judgment program for causing a computer to function as the abnormality judgment device described above, and the computer-readable recording medium according to the present invention is a computer-readable recording medium on which the abnormality judgment program described above is recorded.

According to the present invention, the tendency of acceleration changes related to at least one of the emergency diseases of cerebral infarction and myocardial infarction is stored as a disease tendency, and it is determined whether the change in acceleration obtained by the acceleration sensor matches the stored disease tendency. If it is determined that it matches, it is determined that the subject has an abnormality of an emergency disease. Here, the inventors have found that in the case of cerebral infarction or myocardial infarction, the subject does not suddenly collapse, but collapses after an antagonistic movement corresponding to the cerebral infarction or myocardial infarction is initiated. For this reason, there is a tendency of acceleration changes specific to cerebral infarction and myocardial infarction, and by storing this and comparing it with the stored contents, it is possible to determine whether cerebral infarction or myocardial infarction has occurred. Therefore, it is possible to determine whether cerebral infarction or myocardial infarction has occurred based on the signal from the acceleration sensor.

1 is a configuration diagram showing an abnormality determination system including an abnormality determination device according to an embodiment of the present invention. FIG. 2 is a diagram showing a hardware configuration of the abnormality determination device shown in FIG. 1 . FIG. 2 is a software configuration diagram showing a CPU of the abnormality determination device according to the present embodiment. FIG. 13 is a diagram showing the change over time in acceleration associated with cerebral infarction. FIG. 13 is a diagram showing the change over time in acceleration associated with myocardial infarction. 4 is a flowchart showing a process of the abnormality determination device according to the present embodiment.

The present invention will be described below in accordance with a preferred embodiment. Note that the present invention is not limited to the embodiment described below, and can be modified as appropriate without departing from the spirit of the present invention. In addition, in the embodiment described below, some configurations are omitted from illustration and description, but it goes without saying that publicly known or well-known technologies are used as appropriate for the details of the omitted technologies, within the scope of not causing any contradiction with the contents described below.

In the following description, before describing the anomaly determination device according to an embodiment of the present invention, we will describe an anomaly determination system to which the anomaly determination device is applied.

Figure 1 is a configuration diagram showing an abnormality determination system including an abnormality determination device according to an embodiment of the present invention. The abnormality determination system 1 shown in Figure 1 includes an abnormality determination device 100 attached to a subject, and a reporting device 200 connected to the abnormality determination device 100 via a network N.

The abnormality determination device 100 determines whether an abnormality has occurred in the subject based on a signal from an acceleration sensor (see reference numeral 110 in FIG. 2) attached to the subject. In particular, in this embodiment, the abnormality determination device 100 determines whether an abnormality such as cerebral infarction or myocardial infarction has occurred in the subject. When the abnormality determination device 100 determines that an abnormality such as cerebral infarction or myocardial infarction has occurred, it transmits information to that effect, along with location information, etc., to the reporting device 200.

The reporting device 200 stores information on emergency contacts such as the subject's family R, and when it receives information from the abnormality determination device 100 that an abnormality such as cerebral infarction or myocardial infarction has occurred, it contacts the subject's emergency contacts. Furthermore, the reporting device 200 stores contact information for the fire department F, and when it receives information from the abnormality determination device 100 that an abnormality such as cerebral infarction or myocardial infarction has occurred and the subject's location information, it dispatches an ambulance to the fire department F based on the location information. The reporting device 200 is not limited to dispatching an ambulance, and may also transmit the location information to a nearby doctor or emergency medical technician, or dispatch a doctor's helicopter, taxi, etc.

Figure 2 is a configuration diagram showing the hardware configuration of the abnormality determination device 100 shown in Figure 1. As shown in Figure 2, the abnormality determination device 100 includes an acceleration sensor 110, a CPU (Central Processing Unit) 120, and a communication unit 130.

The acceleration sensor 110 is capable of detecting acceleration in three axial directions, i.e., up, down, front, back, left and right, and outputs a signal corresponding to the acceleration in each direction to the CPU 120. The communication unit 130 communicates with the reporting device 200 via the network N.

The CPU 120 controls the entire anomaly determination device 100 and is equipped with a ROM (Read Only Memory) 120a and a RAM (Random Access Memory) 120b. The ROM 120a is a read-only memory that stores a program (anomaly determination program) for operating the anomaly determination device 100. The RAM 120b is a readable and writable memory that stores various data and has an area necessary for the processing operations of the CPU 120.

In the abnormality determination device 100 according to this embodiment, the acceleration sensor 110 is preferably attached to a fixed part of the body (e.g., around the chest or waist) in order to accurately detect acceleration in three axial directions, i.e., up, down, front, back, left and right, but is not limited thereto and may be attached to a movable part of the body, such as the head or arm. In this case, it is preferable for the abnormality determination device 100 to accurately detect acceleration in the three axial directions by canceling out movements of the head, arms, etc. (e.g., head shaking or arm swinging while walking).

Furthermore, it is preferable that the abnormality determination device 100 prompts the subject to make upright, forward, backward, left and right movements after the device is attached to the subject, taking into consideration misalignment of the attachment position (for example, even if attachment to the temple is recommended, it may be attached slightly backward), so that the subject can grasp the up, down, front, back, left and right directions.

In addition, the abnormality determination device 100 may be divided into a unit having only the acceleration sensor 110 and a unit having other components. The units may be connected by wire or wirelessly. This makes it possible, for example, to attach the acceleration sensor 110 to a subject and use the calculation and communication functions of a smartphone for the other components.

Figure 3 is a software configuration diagram showing the CPU 120 of the abnormality determination device 100 according to this embodiment. As shown in Figure 3, the CPU 120 executes an abnormality determination program stored in the ROM 120a, causing a first memory unit (first memory means) 121, a second memory unit (second memory means) 122, a tendency determination unit (tendency determination means) 123, and a disease determination unit (disease determination means) 124 to function.

The first memory unit 121 stores the trends in acceleration changes related to the emergency illnesses of both cerebral infarction and myocardial infarction as disease trends. Here, the inventors have discovered that in the case of cerebral infarction or myocardial infarction, the subject does not suddenly collapse, but collapses after an antagonistic movement corresponding to the cerebral infarction or myocardial infarction is initiated. For this reason, there is a unique trend in acceleration changes for cerebral infarction and myocardial infarction, and the first memory unit 121 stores such trends as disease trends.

Figure 4 shows the change over time in acceleration associated with cerebral infarction. After extensive research, the inventors found that when abnormalities associated with cerebral infarction occur, the subject experiences a decline in motor function on either the left or right side before falling. In particular, they found that when motor function declines before a fall, the body leans in the direction of the fall, but there is also a movement to resist, and therefore a large change in acceleration occurs when the subject falls after a transition in acceleration that repeatedly rises and falls to the left or right of the subject.

4, the acceleration rises and falls in response to the movement of resisting the body leaning in the direction of falling, and then, in the final stage T42, a large acceleration is obtained due to the falling. In particular, the maximum value _a42 of the acceleration in the final stage T42 tends to be larger than the maximum value _a41 of the acceleration in the initial stage T41.

Figure 5 shows the time change in acceleration associated with myocardial infarction. After careful consideration, the inventors of the present invention have found that when an abnormality associated with myocardial infarction occurs, the subject makes a crouching motion before collapsing. In particular, they have found that after the crouching motion, the body stops in that position and then collapses. It has been found that while there are cases where the collapse is accompanied by a relatively large acceleration, as in the case of cerebral infarction, there are also cases where the collapse is more slow and more like a crouching motion.

Therefore, in the initial stage T51 shown in Fig. 5, downward acceleration occurs due to the crouching motion, and in the final stage T53, downward acceleration occurs due to the falling motion. Furthermore, in the middle stage T52, since the crouching motion in the initial stage T51 is followed by a stopping motion, an acceleration smaller than the maximum values _a51 and _a53 of the acceleration in the initial stage T51 and the final stage T53 occurs. Note that in myocardial infarction, the magnitude relationship between the maximum values _a51 and _a53 of the acceleration in the initial stage T51 and the final stage T53 does not matter. In Fig. 5, the dashed line in the final stage T53 indicates the acceleration when the patient falls with a relatively large acceleration, similar to cerebral infarction, and the solid line in the final stage T53 indicates the acceleration when the patient falls relatively slowly, more like crouching.

Referring again to Fig. 3, the first storage unit 121 stores the change in acceleration as shown in Fig. 4 and Fig. 5 as a disease tendency. The first storage unit 121 may store a plurality of types of representative data of the change in acceleration as shown in Fig. 4 and Fig. 5, and may store, for example, data such that the maximum value _a51 of the acceleration at the early stage T51 of myocardial infarction is XX or more and XX or less, the acceleration at the middle stage T52 is △△ or more and ▽▽ or less, and the maximum value _a53 of the acceleration at the end stage T53 is □□ or more and ◆◆ or less.

The second memory unit 122 stores the change in acceleration during a normal period in which the subject does not experience any emergency disease abnormalities based on the signal from the acceleration sensor 110. This second memory unit 122 stores the change in acceleration until a period such as one month or three months has passed since the abnormality determination device 100 was attached to the subject.

The trend determination unit 123 determines whether the change in acceleration obtained by the acceleration sensor 110 matches the disease trend stored in the first storage unit 121. When the first storage unit 121 stores representative acceleration change data as a disease trend, the trend determination unit 123 determines that the change matches the disease trend when, for example, the similarity at the initial period T41, T51, the similarity at the middle period T52, and the similarity at the terminal period T42, T53 are all equal to or greater than a predetermined value. The similarity may be calculated, for example, based on the percentage deviation from the representative acceleration at each timing, or may be calculated by other publicly known or well-known methods.

The disease determination unit 124 determines that an abnormality of an emergency disease has occurred in the subject when the trend determination unit 123 determines that the disease trend matches. Therefore, the disease determination unit 124 determines that an abnormality of cerebral infarction has occurred in the subject when the trend determination unit 123 determines that the disease trend matches that of cerebral infarction, and determines that an abnormality of myocardial infarction has occurred in the subject when the disease trend matches that of myocardial infarction.

In addition, when the disease determination unit 124 determines that the subject has an emergency disease abnormality, the CPU 120 uses the communication unit 130 to transmit that information to the reporting device 200. At this time, the CPU 120 also transmits the subject's position detected by a position detection means (not shown) and subject information (ID, name, etc.) indicating the subject.

Here, it is preferable for the disease determination unit 124 to determine that an emergency disease abnormality has occurred in the subject when the acceleration sensor 110 indicates the direction in which walking will stop, in addition to when the trend determination unit 123 determines that the acceleration matches the disease trend. When an emergency disease occurs while the subject is walking, the subject tends to stop or slow down their walking. In addition to such stopping, the subject also exhibits antagonistic movements. Therefore, it is preferable for the disease determination unit 124 to determine that an emergency disease abnormality has occurred in the subject when the acceleration sensor 110 obtains acceleration indicating the direction in which walking will stop, and the trend determination unit 123 determines that the subsequent change in acceleration matches the disease trend.

In addition, the tendency determination unit 123 according to this embodiment may constantly determine whether the change in acceleration from the acceleration sensor 110 matches the disease tendency, but it is preferable to determine whether the change in acceleration matches the disease tendency only at specific times.

For example, it is preferable that when the acceleration sensor 110 detects a change in acceleration of a predetermined value or more, the trend determination unit 123 determines whether or not the change in acceleration and the detected acceleration values obtained within a predetermined time period before the change and/or within a specified time period after the change match a disease trend.

As described with reference to Figures 4 and 5, when abnormalities such as cerebral infarction and myocardial infarction occur, antagonistic movements are observed, and relatively large changes in acceleration (maximum values _a41 , _a51 ) are detected. In addition, in both cerebral infarction and myocardial infarction, changes in acceleration (maximum values _a42 , _a53 ) equal to or greater than a specified value are detected due to the subject's collapse. Therefore, by judging such changes in acceleration and the detected acceleration values obtained in the periods before and after these, the tendency judging unit 123 does not need to constantly judge whether the changes match the disease tendency, and can judge the disease tendency only for an appropriate period.

In addition, without being limited to the above, when the acceleration sensor 110 obtains a change in acceleration that is not similar to the change in acceleration during a normal period stored in the second memory unit 122, it is preferable for the trend determination unit 123 to determine whether or not the change in acceleration and the detected acceleration values obtained within at least one of a specified time period before the change and a specified time period after the change match a disease trend.

In this way, when a change in acceleration that is not similar to the change in acceleration during a normal period is obtained, it is determined whether or not it matches a disease tendency. By judging the change in acceleration that is not similar to the change in acceleration during a normal period and the detected acceleration values obtained in the period before and after this, it is possible to determine a disease tendency when there is a high possibility that it is not normal.

Note that "not similar" means that the similarity is equal to or less than a predetermined value. For example, the tendency determination unit 123 extracts only the predetermined section from the start point of the acceleration stored in the second storage unit 122 every time an acceleration of a certain predetermined period (for example, about 3 seconds) is obtained, and calculates the similarity by comparing the obtained acceleration. If the similarity exceeds the predetermined value, the process ends. If the similarity is equal to or less than the predetermined value, for example, only the predetermined section is extracted from a point advanced by a specific time (a time equal to or less than the predetermined period, for example, 1 second) from the start point, and the similarity is calculated. If the similarity exceeds the predetermined value, the process ends. If the similarity is equal to or less than the predetermined value, the process advances by a further specific time and is repeated until it is determined to be similar or the entire period of the stored acceleration is compared. If the similarity does not exceed the predetermined value as a result of the comparison of the entire period, the tendency determination unit 123 determines that a change in acceleration not similar to the change in acceleration during the normal period stored in the second storage unit 122 has been obtained. Note that this process is preferably performed with a relatively rough processing because the process load may increase as a result of comparing with the change in acceleration during a normal period stored in the second storage unit 122. In other words, it is preferable that the processing time for the comparison with the change in acceleration during a normal period is shorter than the processing time for determining whether it matches the disease tendency.

Whether or not the period is normal is determined as follows. That is, if an abnormality such as cerebral infarction or myocardial infarction occurs during a normal period such as January or March, the subject is taken to the hospital by ambulance or the like. In this case, the abnormality determination device 100 is basically removed. In this case, the power is turned off or zero acceleration is continuously detected for a long period of time. In such a case, the abnormality determination device 100 determines that the change in acceleration stored in the second storage unit 122 is not from a normal period. On the other hand, if the period expires without the power being turned off or zero acceleration being continuously detected for a long period of time, the abnormality determination device 100 determines that the change in acceleration stored in the second storage unit 122 is from a normal period.

Next, the processing of the anomaly determination device 100 according to this embodiment will be described. FIG. 6 is a flowchart showing the processing of the anomaly determination device 100 according to this embodiment.

First, the tendency determination unit 123 of the abnormality determination device 100 determines whether an acceleration equal to or greater than a predetermined value has been obtained (S1). If an acceleration equal to or greater than the predetermined value has been obtained (S1: YES), the process proceeds to step S3.

On the other hand, if an acceleration equal to or greater than the predetermined value is not obtained (S1: NO), the tendency determination unit 123 determines whether a change in acceleration has been obtained that is not similar to the change in acceleration stored in the second memory unit 122 (S2).

If it is determined that no dissimilar acceleration changes have been obtained (S2: NO), the process shown in FIG. 6 ends. If it is determined that no dissimilar acceleration changes have been obtained (S2: YES), the process proceeds to step S3.

In step S3, the CPU 120 determines whether the subject was walking within the most recent set time based on the signal from the acceleration sensor 110 (S3). If it is determined that the subject was not walking (S3: NO), the process proceeds to step S5. On the other hand, if it is determined that the subject was walking (S3: YES), the CPU 120 determines whether acceleration in the stopping direction was obtained (S4).

If it is determined that the acceleration in the stopping direction has not been obtained (S4: NO), the process shown in FIG. 6 ends. On the other hand, if it is determined that the acceleration in the stopping direction has been obtained (S4: YES), the tendency determination unit 123 determines whether it matches the disease tendency of cerebral infarction (S5). At this time, if the tendency determination unit 123 has determined "YES" in step S1, for example, it determines whether the change in acceleration equal to or greater than a predetermined value and the detected acceleration value obtained within at least one of a predetermined time before this change and a specified time after this change match the disease tendency of cerebral infarction. Also, if the tendency determination unit 123 has determined "YES" in step S2, for example, it determines whether the change in acceleration determined to be dissimilar and the detected acceleration value obtained within at least one of a predetermined time before this change and a specified time after this change match the disease tendency of cerebral infarction.

If it is determined that there is a match with the disease tendency of cerebral infarction (S5: YES), the disease determination unit 124 determines that the subject has developed an abnormality of cerebral infarction (S6). Then, the process proceeds to step S9.

If it is determined that the trend does not match the trend for cerebral infarction (S5: NO), the trend determination unit 123 determines whether the trend matches the trend for myocardial infarction (S7). In this process, as in the process of step S5, the change in acceleration and the detected acceleration values obtained within a specified time period before the change and/or within a specified time period after the change are used to determine whether the trend matches the trend for myocardial infarction.

If it is determined that the disease tendency does not match that of myocardial infarction (S7: NO), the process shown in FIG. 6 ends. On the other hand, if it is determined that the disease tendency matches that of myocardial infarction (S7: YES), the disease determination unit 124 determines that the subject has developed an abnormality of myocardial infarction (S8). Then, the process proceeds to step S9.

Here, an example of the processing of steps S5 and S7 will be described in detail. In the processing of step S5, if there is an increase and decrease in acceleration at the initial period T41 shown in FIG. 4, and then a large acceleration due to falling is obtained at the terminal period T42, it is determined that the trend corresponds to the disease tendency of cerebral infarction. In making this determination, the trend determination unit 123 first detects the largest acceleration. Then, the trend determination unit 123 determines a specific period before and after the point in time when the largest acceleration is obtained as the terminal period T42. Next, the trend determination unit 123 determines the period before the terminal period T42 as the initial period T41. Next, the trend determination unit 123 compares the maximum value _a42 of the acceleration at the terminal period T42 with the maximum value _a41 of the acceleration at the initial period T41, and determines that the latter is higher and the trend corresponds to the disease tendency of cerebral infarction.

In addition, in the processing of step S7, if downward acceleration occurs at the initial period T51 and the final period T53 shown in FIG. 5, and an acceleration smaller than that at the initial period T51 and the final period T53 is obtained at the mid-term T52, it is determined that the trend matches the disease trend of myocardial infarction. In making this determination, the trend determination unit 123 first determines a point where the acceleration is close to zero (absolute value is equal to or less than a specific value) for a specified period of time, and determines this as the mid-term T52. Next, the trend determination unit 123 determines the period before the mid-term T52 as the initial period T51 and the period after as the final period T53. Thereafter, the trend determination unit 123 determines that the trend matches the disease trend of myocardial infarction if there is a change in acceleration of a certain degree or more at the initial period T51 and the final period T53.

In the process of step S9, the CPU 120 communicates with the notification device 200 (S9). In this process, the abnormality determination device 100 transmits information that the subject has an emergency illness, the subject's ID, etc., and the subject's location information. After that, the process shown in FIG. 6 ends.

In this way, according to the abnormality determination device 100, data monitoring program, and computer-readable recording medium of this embodiment, the tendency of acceleration change related to at least one of the emergency diseases of cerebral infarction and myocardial infarction is stored as a disease tendency, and it is determined whether the change in acceleration obtained by the acceleration sensor 110 matches the stored disease tendency. If it is determined that it matches, it is determined that the subject has an emergency disease abnormality. Here, the inventor of the present invention found that in cerebral infarction or myocardial infarction, the subject does not suddenly collapse, but collapses after an antagonistic movement corresponding to cerebral infarction or myocardial infarction is performed. For this reason, there is a tendency of acceleration change specific to cerebral infarction and myocardial infarction, which can be stored and compared with the stored contents to determine cerebral infarction or myocardial infarction. Therefore, cerebral infarction and myocardial infarction can be determined based on the signal from the acceleration sensor 110.

The inventors have also found that in the case of cerebral infarction, a subject falls after experiencing a decline in motor function on either the left or right side. In particular, when motor function declines before a fall, the body leans in the direction of the fall, but there is also a movement to resist, and therefore, the subject's acceleration changes repeatedly rise and fall to the left or right, followed by a large change in acceleration when the subject falls. Therefore, by storing such changes in acceleration as a disease tendency, cerebral infarction can be determined based on the signal from the acceleration sensor 110.

The inventors of the present invention have also discovered that in myocardial infarction, a subject will crouch down before collapsing. In particular, they have discovered that after the crouching motion, the body stops in that position, and then a large change in acceleration is observed when the subject falls. Therefore, by storing such changes in acceleration as a disease tendency, cerebral infarction can be determined based on the signal from the acceleration sensor 110.

In addition, if the tendency determination unit 123 determines that the acceleration matches the disease tendency and indicates the direction in which walking will stop, it is determined that the subject has an emergency disease abnormality. Here, the inventors have discovered that the subject nearly stops during antagonistic movements in response to cerebral infarction or myocardial infarction. For this reason, acceleration indicating the direction in which walking will stop is detected during cerebral infarction or myocardial infarction. Therefore, by not only determining that the acceleration matches the disease tendency but also checking whether the acceleration obtained indicates the direction in which walking will stop, it is possible to more accurately determine whether cerebral infarction or myocardial infarction has occurred.

In addition, when the acceleration sensor 110 detects a change in acceleration equal to or greater than a predetermined value, the change in acceleration and the detected acceleration values obtained within at least one of a predetermined time period before the change and a specified time period after the change are used to determine whether or not they match a disease tendency. Here, in both cerebral infarction and myocardial infarction, a change in acceleration equal to or greater than a predetermined value is detected due to an antagonistic movement. In both cerebral infarction and myocardial infarction, a change in acceleration equal to or greater than a predetermined value is detected due to the subject falling. Therefore, by judging such a change in acceleration and the detected acceleration values obtained within the period before and after this, a disease tendency can be determined for an appropriate period.

In addition, by storing the changes in acceleration during normal periods and judging the changes in acceleration that are not similar to the changes in acceleration during normal periods, as well as the detected acceleration values obtained in the periods before and after this, it is possible to determine a disease tendency when there is a high possibility that something is not normal.

The present invention has been described above based on the embodiments, but the present invention is not limited to the above embodiments, and modifications may be made or known technologies may be combined without departing from the spirit of the present invention.

For example, the first memory unit 121, the second memory unit 122, the tendency determination unit 123, and the disease determination unit 124 are provided on the subject side, but are not limited to this and may be installed on the reporting device 200 side.

In addition, in the process of step S3, the CPU 120 determines whether the subject was walking within the most recent specified time based on the signal from the acceleration sensor 110. However, this is not limited to the above, and for example, when a "YES" is determined in step S1, at least a predetermined time period before the acceleration change may be set as the extraction period, and the processes from step S3 onwards (e.g., the processes of steps S5 and S7) may be performed only for the extraction period. The same applies when a "YES" is determined in step S2.

In addition, in this embodiment, the process proceeds to step S3 when either step S1 or step S2 is judged as "YES," but this is not limited thereto, and the process may proceed to step S3 when both step S1 and step S2 are judged as "YES."

Furthermore, in the above embodiment, the abnormality judgment program is stored in the ROM 120a of the abnormality judgment device 100, but this is not limited thereto, and it may be stored in other types of recording media such as a HDD, USB, CD-ROM, or CD-R.

In addition, in the above embodiment, the abnormality determination device 100 is assumed to be a single device, but this is not limited thereto, and the device may be systemized using multiple devices.

Furthermore, if the abnormality determination device 100 determines that an abnormality of an emergency disease has occurred, it may be configured to sound an audio signal to inform people nearby that the subject is in danger.

In addition, in this embodiment, the first storage unit 121 stores the trends of acceleration changes related to both emergency diseases, cerebral infarction and myocardial infarction, as disease trends, but this is not limited to this, and it may store only one of them. In this case, it goes without saying that only one of cerebral infarction and myocardial infarction is determined based on the signal from the acceleration sensor 110.

In the above embodiment, the emergency disease of at least one of cerebral infarction and myocardial infarction is judged, but other diseases may be judged in addition. For example, epilepsy does not involve antagonistic movements like cerebral infarction and myocardial infarction, but flexion and extension similar to the on-off movement of muscles occur, so acceleration similar to vibration is easily detected and it is possible to judge based on acceleration alone. For this reason, it may be configured to judge epilepsy as well. In particular, for subjects who already have epilepsy, a flag may be set to indicate that the subject has epilepsy, making it difficult to mistakenly judge mere vibration (for example, vibration generated temporarily in a vehicle) as epilepsy for subjects who do not have the flag set.

1: Abnormality determination system 100: Abnormality determination device 110: Acceleration sensor 120: CPU
120a: ROM
121: First storage unit (first storage means)
122: Second storage unit (second storage means)
123: Trend judgment unit (trend judgment means)
124: Disease judgment unit (disease judgment means)
130: Communication unit 200: Reporting device T41, T51: Initial period T52: Middle period T42, T53: Final period _a41 , _a42 , _a51 , _a53 : Maximum value of acceleration

Claims (8)

An abnormality determination device that determines an abnormality in a subject based on a signal from an acceleration sensor attached to the subject,
A first storage means for storing, as a disease tendency, a tendency of a change in acceleration related to a movement performed by a subject when the subject has at least one of an emergency disease such as cerebral infarction and myocardial infarction;
a tendency determining means for determining whether or not a change in acceleration obtained by the acceleration sensor matches a disease tendency stored in the first storage means;
A disease determination means for determining that an abnormality of an emergency disease has occurred in the subject when the trend determination means determines that the disease trend matches;
An abnormality determination device comprising: An abnormality determination device that determines an abnormality in a subject based on a signal from an acceleration sensor attached to the subject,
A first storage means for storing a trend of change in acceleration related to an emergency disease such as cerebral infarction as a disease trend;
a tendency determining means for determining whether or not a change in acceleration obtained by the acceleration sensor matches a disease tendency stored in the first storage means;
and a disease determination means for determining that an emergency disease abnormality has occurred in the subject when the tendency determination means determines that the tendency matches the disease tendency,
The first storage means stores , as the disease tendency, a transition of acceleration in an initial stage in which the acceleration repeatedly rises and falls in the left or right direction of the subject, and a change in acceleration in a final stage in which the acceleration is greater than the maximum value of the initial acceleration.
An abnormality determination device comprising: An abnormality determination device that determines an abnormality in a subject based on a signal from an acceleration sensor attached to the subject,
A first storage means for storing a trend of change in acceleration related to an emergency disease such as myocardial infarction as a disease trend;
a tendency determining means for determining whether or not a change in acceleration obtained by the acceleration sensor matches a disease tendency stored in the first storage means;
and a disease determination means for determining that an emergency disease abnormality has occurred in the subject when the tendency determination means determines that the tendency matches the disease tendency,
The first storage means stores , as the disease tendency, the acceleration indicating a downward increase of the subject in the initial and final stages, and a change in acceleration indicating an acceleration in the intermediate stage between the initial and final stages that is smaller than the maximum value of the acceleration in the initial and final stages.
An abnormality determination device comprising: An abnormality determination device that determines an abnormality in a subject based on a signal from an acceleration sensor attached to the subject,
A first storage means for storing a trend of change in acceleration related to at least one of emergency diseases of cerebral infarction and myocardial infarction as a disease trend;
a tendency determining means for determining whether or not a change in acceleration obtained by the acceleration sensor matches a disease tendency stored in the first storage means;
and a disease determination means for determining that an emergency disease abnormality has occurred in the subject when the tendency determination means determines that the tendency matches the disease tendency,
The disease determination means determines that an emergency disease abnormality has occurred in the subject when the tendency determination means determines that the acceleration corresponds to a disease tendency and the acceleration obtained by the acceleration sensor indicates a direction in which walking has stopped.
An abnormality determination device comprising: An abnormality determination device that determines an abnormality in a subject based on a signal from an acceleration sensor attached to the subject,
A first storage means for storing a trend of change in acceleration related to at least one of emergency diseases of cerebral infarction and myocardial infarction as a disease trend;
a tendency determining means for determining whether or not a change in acceleration obtained by the acceleration sensor matches a disease tendency stored in the first storage means;
and a disease determination means for determining that an emergency disease abnormality has occurred in the subject when the tendency determination means determines that the tendency matches the disease tendency,
The tendency judging means, upon detection by the acceleration sensor of a change in acceleration of a predetermined value or more, judges whether or not the change in acceleration and the detected acceleration values obtained within at least one of a predetermined time period before the change and a specified time period after the change match a tendency to a disease.
An abnormality determination device comprising: An abnormality determination device that determines an abnormality in a subject based on a signal from an acceleration sensor attached to the subject,
A first storage means for storing a trend of change in acceleration related to at least one of emergency diseases of cerebral infarction and myocardial infarction as a disease trend;
a tendency determining means for determining whether or not a change in acceleration obtained by the acceleration sensor matches a disease tendency stored in the first storage means;
A disease determination means for determining that an abnormality of an emergency disease has occurred in the subject when the trend determination means determines that the disease trend matches;
and a second storage means for storing a change in acceleration during a normal period in which the subject does not experience any emergency disease abnormality based on a signal from the acceleration sensor,
When the acceleration sensor detects a change in acceleration that is not similar to the change in acceleration during the normal period stored in the second storage means, the tendency determining means determines whether or not the change in acceleration and the detected acceleration values obtained during at least one of a predetermined time period before the change and a specified time period after the change match a tendency to a disease.
An abnormality determination device comprising: An abnormality determination program for causing a computer to function as an abnormality determination device according to any one of claims 1 to 6. A computer-readable recording medium on which the abnormality determination program according to claim 7 is recorded.

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