JP2021100579A - Abnormality report system and smartphone - Google Patents

Abstract

To provide an abnormality report system or the like capable of performing properly necessary report, and suppressing unnecessary report, by changing a condition for reporting according to accuracy of determined biological information, when determined that the biological information of an object person is abnormal.SOLUTION: A biosignal of an object person is acquired, and biological information is calculated from the acquired biosignal. When determined that the biological information is abnormal, it is determined whether a condition under which the biometric information has been calculated is a high accuracy condition or not. In the case where the biological information has been calculated under the high accuracy condition, a report is performed by using a first criterion, and in other cases, a report is performed by using a second criterion.SELECTED DRAWING: Figure 1

Description

The present invention relates to an abnormality reporting system and the like.

Devices and systems for reporting patient abnormalities have been known in the past. For example, as in Patent Document 1, a non-invasive vital sensor detects the living behavior and life activity of a subject and classifies them into a plurality of cases, and the permissible duration for each classification is sequentially integrated, and the integrated time exceeds the threshold value. The invention to report is known.

Japanese Patent No. 35577775

Conventionally, it is common to make a report based on whether or not the threshold value of the biological information value has been exceeded. For example, even in Patent Document 1 described above, regardless of the state of the subject and the sensor characteristics, if the integrated time of living activity or life activity exceeds a predetermined threshold value, it is determined to be abnormal and a notification is given. However, the accuracy varies depending on the condition of the subject and the characteristics of the sensor. Therefore, since the notification is simply made regardless of the fluctuation of the accuracy, there is a problem that the notification is unreliable depending on the state of the subject and the sensor characteristics.

In particular, in the case of a system that notifies an abnormality based on biological information used in hospitals and nursing care facilities, there is a problem that unnecessary abnormality notification based on an error or the like imposes a burden on medical staff and staff. ..

In view of the above-mentioned problems, an object of the present invention is to change the conditions for notifying the subject according to the accuracy of the determined biometric information when the biometric information of the subject is determined to be abnormal. It is to provide an abnormality reporting system or the like that can appropriately perform necessary notifications and suppress unnecessary notifications.

Biological information acquisition means for acquiring the biological information of the target person,
A determination means for determining whether or not the biological information of the subject is abnormal based on the biological information,
When the biological information of the subject is determined to be abnormal, the condition determining means for determining whether the biological information of the subject is acquired in a state satisfying the first condition, and
If it is determined that the biometric information of the subject has been acquired in a state that satisfies the first condition, a notification is made using the first criterion, and in other cases, the second criterion is used. The means of reporting and the means of reporting
It is an abnormality reporting system equipped with
The first condition is characterized in that the abnormality reporting system is connected to a device that generates vibration.

According to the present invention, when the biological information calculated based on the biological signal of the subject is determined to be abnormal, whether or not the biological information determined to be abnormal is calculated under high-precision conditions. judge. Then, the abnormality can be reported according to different criteria depending on whether the condition is high accuracy or not.

For example, by switching between the first standard, which is a loose standard applied under high-precision conditions, and the second standard, which is a strict standard applied under low-precision conditions, it is possible to report an abnormality that does not originally need to be reported. Will be suppressed, and only necessary reports will be made.

It is a figure for demonstrating the whole in 1st Embodiment. It is a figure for demonstrating the functional structure in 1st Embodiment. It is a figure which shows an example of the data structure of the reference value table in 1st Embodiment. It is a figure which shows an example of the data structure of the notification standard setting table in 1st Embodiment. This is an example of the operation flow in the first embodiment. It is a figure for demonstrating the application example in 1st Embodiment.

Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. Specifically, the case where the abnormality reporting system of the present invention is applied will be described, but the scope of application of the present invention is not limited to the embodiment.

[1. First Embodiment]
[1.1 Whole system]
FIG. 1 is a diagram for explaining an overall outline of the abnormality reporting system 1 to which the present invention is applied. As shown in FIG. 1, the abnormality reporting system 1 includes a detection device 3 mounted between the floor of the bed 10 and the mattress 20, and a processing device 5 for processing a value output from the detection device 3. It is configured to prepare. The detection device 3 and the processing device 5 constitute a biological information output device.

When a subject (hereinafter referred to as "patient P" as an example) is on the mattress 20, the detection device 3 detects body movement (vibration) as a biological signal of the patient P. Then, the biological information of the patient P is calculated based on the detected vibration. In the present embodiment, the calculated biological information (for example, respiratory rate, heart rate) can be output and displayed as the biological information of the patient P. In addition, for example, the detection device 3 may be integrally formed by providing a storage unit, a display unit, or the like. Further, since the processing device 5 may be a general-purpose device, it is not limited to an information processing device such as a computer, and may be configured by a device such as a tabbed or a smartphone.

In addition, the target person may be a person who is undergoing medical treatment for illness or a person who needs long-term care. In addition, it may be a healthy person who does not need long-term care, an elderly person, a child, a disabled person, a person, or an animal.

Here, the detection device 3 is configured in a sheet shape so as to be thin. As a result, even if it is placed between the bed 10 and the mattress 20, it can be used without causing the patient P to feel a sense of discomfort.

It is sufficient that the detection device 3 can acquire the biological signal of the patient P (body movement, respiratory movement, heart pulsation, etc.). In the present embodiment, the heart rate and the respiratory rate are calculated based on the body movement, but for example, it is detected by using an infrared sensor, the biological signal of the patient P is acquired from the acquired image, or distortion. An actuator with a gauge may be used.

[1.2 Functional configuration]
Next, the functional configuration of the abnormality reporting system 1 will be described with reference to FIG. The abnormality notification system 1 in the present embodiment has a configuration including a detection device 3 and a processing device 5, and each functional unit (processing) may be realized by any other than the biological signal acquisition unit 200. ..

In the abnormality reporting system 1, the destination for reporting the abnormality may be a staff member or a family member. Further, as a method of reporting, a report (notification) may be made simply by sound or screen display, or a report may be sent to the mobile terminal device by e-mail or the like. In addition, a report (notification) may be made to another terminal device or the like.

The abnormality reporting system 1 includes a control unit 100, a biological signal acquisition unit 200, a biological information calculation unit 300, an input unit 400, an output unit 450, a storage unit 500, and a patient state acquisition unit 600. Has been done. In the case of FIG. 1, the control unit 100, the biological signal acquisition unit 200, and the storage unit 500 are provided in the detection device 3, and the control unit 100, the biological information calculation unit 300, the input unit 400, the output unit 450, and the storage unit are provided. The unit 500 is provided in the processing device 5. Further, the patient state acquisition unit 600 may use the biological signal acquisition unit 200, or may be separately provided on the bed 10.

The control unit 100 is a functional unit for controlling the operation of the abnormality reporting system 1. For example, it may be configured by a control device such as a CPU, or may be configured by a control device such as a computer. The control unit 100 realizes various processes by reading and executing various programs stored in the storage unit 500. In the present embodiment, the control unit 100 operates as a whole, but it can also be provided in each of the detection device 3 and the processing device 5.

The biological signal acquisition unit 200 is a functional unit for acquiring the biological signal of the patient P. In the present embodiment, as an example, a body movement, which is a kind of biological signal, is acquired by using a sensor that detects the body movement of the patient P. Then, the acquired body movement is output as body movement data. Based on this body movement data, various biological information of patient P can be calculated. Furthermore, based on the body movement data, the lying state of the patient P (for example, whether or not the patient P is lying down, being in bed, getting out of bed, sitting on the edge, etc.) can be acquired, or the sleeping state (sleep, awakening) can be acquired. It is also possible to do it.

The biological signal acquisition unit 200 in the present embodiment acquires the vibration (body movement) of the patient by the pressure sensor, and acquires the breathing and the heartbeat from the vibration. However, the load sensor determines the position of the center of gravity (body movement) of the patient. ) May be obtained by changing the biological signal, or by providing a microphone, the biological signal may be acquired based on the sound picked up by the microphone. It suffices if the biological signal of the patient can be acquired using any of the sensors.

That is, the biological signal acquisition unit 200 may be connected to a device such as the detection device 3, or may be configured to receive the biological signal from an external device.

The biological information calculation unit 300 is a functional unit for calculating the biological information (respiratory rate, heart rate, etc.) of the patient P. In the present embodiment, the respiratory component / heart rate component may be extracted from the body movement acquired from the biological signal acquisition unit 200, and the respiratory rate and the heart rate may be obtained based on the respiratory interval and the heart rate interval. Further, the periodicity of body movement may be analyzed (Fourier transform or the like), and the respiratory rate and heart rate may be calculated from the peak frequency.

The input unit 400 is a functional unit for the measurer to input various conditions and input an operation for starting measurement. For example, it is realized by any input means such as a hardware key or a software key.

The output unit 450 is a functional unit for outputting biological information such as a sleep state, a heart rate, and a respiratory rate, and for notifying an abnormality of the biological information. The output unit 450 may be a display device such as a display, or a notification device (sound output device) for notifying an alarm or the like. Further, an external storage device for storing data, a transmission device for transmitting data via a communication path, or the like may be used. Further, it may be a communication device for reporting to another device.

The storage unit 500 is a functional unit that stores various data and programs for operating the abnormality reporting system 1. The control unit 100 realizes various functions by reading and executing the program stored in the storage unit 500. Here, the storage unit 500 is composed of, for example, a semiconductor memory, a magnetic disk device, or the like. Here, the storage unit 500 stores the biological information data 510, the reference value table 512, the notification reference setting table 514, and the condition determination table 516.

The biological information data 510 stores the respiratory rate and the heart rate obtained from the acquired biological signal (body movement). In this embodiment, the respiratory rate and the heart rate are stored, but either one may be used. Further, other information (for example, fluctuation of respiratory amplitude) may be used as long as it is biological information that can be calculated by the biological information calculation unit 300.

In the reference value table 512, the reference value of the biological information to be notified (that is, the reference value / threshold value determined to be abnormal) is stored. For example, as shown in FIG. 3, the upper limit threshold value and the lower limit threshold value in each biological information are stored. For example, the upper limit threshold value is stored as "120" and the lower limit threshold value is stored as "40" as the heart rate. If it exceeds the upper limit threshold value or falls below the lower limit threshold value, it is determined that the biological information is abnormal.

In the present embodiment, the upper limit threshold value and the lower limit threshold value are stored as the reference value table 512, but the reference value table 512 may store the state to be notified. For example, the upper limit threshold value and the lower limit threshold value may be stored in association with the sleep state and the awake state, respectively, or the upper limit threshold value and the lower limit threshold value may be stored in association with the operating state (operating state / resting state) of the air mat. Is also good.

The notification standard setting table 514 is a table that stores a standard for whether or not to notify as an abnormal value when the biological information is determined to be abnormal. Here, the abnormal value means a value (heart rate / respiratory rate) when the biological information is determined to be abnormal.

Further, in the present embodiment, as shown in FIG. 4, a reference A indicating a reference of a high-precision abnormal value output as an abnormal value under high-precision conditions and a reference of other abnormal values (low-precision abnormal values) are used. Criteria B indicating the above are stored. The reference may be set in more detail, or may be set for each biological information. Here, the high-precision abnormal value is output as an abnormal value when the condition when the biological information is determined to be abnormal matches the high-precision condition, and is output when the condition is other than the high-precision condition. The outlier is a low-precision outlier.

In addition, the standard may be set in a time zone. For example, different criteria may be set according to the variation in accuracy depending on the time zone, which has become clear from the past report history. Further, a plurality of criteria may be switched depending on the state of the patient P such as the sleeping state or the awakening state, the operating state (operating state / resting state) of the air mat, and the characteristics of the patient (for example, individual characteristics such as medical condition and age).

When the biological information is determined to be abnormal, the condition determination table 516 determines whether the determination is made under high-precision conditions (high-precision abnormal values) or under low-precision conditions (low-precision abnormal values). A table that stores the conditions that can be used to do this. For example, as a high-precision condition, when the patient P is in a sleeping state, it is memorized that the patient P is in a bed rest state, or the operating state (resting state) of the air mat is memorized. The low-precision condition may be memorized. For example, when the patient P is in the awake state, when the patient P is not in the bed rest state, or when the air mat is in the operating state, the condition may be memorized.

The patient state acquisition unit 600 is a functional unit for acquiring the patient's condition. For example, the state of the patient (getting out of bed, staying in bed, etc.) is acquired by a load sensor or the like provided on the bed 10. As described above, it may be realized by the biological signal acquisition unit 200.

[1.3 Processing flow]
Next, the processing flow of the abnormality reporting system 1 in the present embodiment will be described. First, get the body movement. Specifically, body motion data is acquired from the biological signal acquisition unit 200 as a type of biological signal (step S102). The body movement data can be acquired, for example, by detecting vibration.

Subsequently, the biological information calculation unit 300 calculates the biological information (step S104). In the present embodiment, the body movement acquired as a biological signal is separated into a respiratory component and a heart rate component, and the heart rate and the respiratory rate are calculated as biological information.

Here, various methods can be considered for calculating the heart rate and the respiratory rate. For example, the body movement data is filtered, the respiratory component is extracted, and the respiratory interval is obtained for each breath. Then, the respiratory rate is calculated based on the respiratory interval. In addition, the body movement data is filtered, the heartbeat component is extracted, and the heartbeat interval is obtained for each beat. Then, the heart rate is calculated based on the heart rate interval.

Further, the periodicity of the body movement data may be analyzed, and the respiratory rate and the heart rate may be calculated from the peak frequency.

Further, for example, in the present embodiment, a value calculated based on body movement data is used every 5 seconds. Specifically, it is calculated every 5 seconds based on the heart rate calculated during a predetermined time and the respiratory rate. In this embodiment, the heart rate and the respiratory rate are calculated, but any one of them may be calculated.

Subsequently, the biological information calculated in step S104 is output (step S106). The output destination may be a display device such as a display monitor, or a device at a remote location such as a mobile terminal device. Further, it may be printed or sent by e-mail, or it may be an output such as simply memorizing. That is, biological information (for example, heart rate, respiratory rate) may be output.

Next, it is determined whether or not the calculated biological information is abnormal, that is, whether or not the heart rate and the respiratory rate are abnormal values (step S108). Specifically, it is compared with the reference value table 512 to determine whether either the heart rate or the respiratory rate is equal to or higher than the upper limit threshold value or lower than the lower limit threshold value. It should be noted that the threshold value may not be included (for example, it may be less than the lower limit threshold value).

Here, when it is determined that the biological information is abnormal (step S108; Yes), the notification process is not performed as it is, and whether or not the value determined as the abnormality (abnormal value) is a high-precision abnormal value is determined. judge. That is, when the biometric information is determined to be abnormal, it is determined whether the condition for which the biometric information was calculated was a high-precision condition (for example, the heart rate is below the lower threshold and the respiratory rate is above the upper threshold). Determine (step S110).

Then, when it is determined that the value is a high-precision abnormal value, the notification process is executed if the criterion A is met (step S110; Yes → step S112). If the condition of step S110 is not met, the biometric information is calculated under low accuracy conditions, and if the condition B is met, the notification process is executed (step S110; No → step S114).

Here, the heart rate or the respiratory rate is used for determining the high-precision condition / low-precision condition in the present embodiment. Then, the standard is stored in the notification standard setting table 514. Conditions may be provided for each, but in the present embodiment, it is determined whether or not the calculation is performed under high-precision conditions, and if the conditions are not met, the biometric information calculated under low-precision conditions is used.

Hereinafter, a method of determining whether or not the condition is high accuracy will be described when the heart rate is used as a reference and when the respiratory rate is used as a reference. It should be noted that these determinations may be made individually or in combination.

(1) When the heart rate is used as a reference For example, when the heart rate is below the lower limit threshold value (for example, "40" or less), the probability of error is low, so the biometric information is calculated under high-precision conditions. .. Therefore, when the biometric information is abnormal (abnormal value), it is determined to be a high-precision abnormal value. On the contrary, when the heart rate is equal to or higher than the upper limit threshold value (for example, "120" or higher), the vibration other than the heartbeat is counted as the heart rate due to the mixing of vibrations other than the heartbeat. Since it may be erroneously determined as an abnormal value, it is determined to be a low-precision abnormal value. Therefore, when the heart rate is equal to or less than the lower limit threshold value, it is determined that the calculated abnormal value is highly reliable, and the reference A is used. That is, when the biological information is determined to be abnormal three times in a row, the notification process is executed assuming that the abnormality is detected.

On the contrary, when it is determined that the reliability of the biometric information determined to be abnormal is low, the criterion B is used. That is, when the biological information is determined to be abnormal 10 times in a row, the notification process is executed assuming that the abnormality is detected.

(2) When the respiratory rate is used as a reference For example, when the respiratory rate is equal to or higher than the upper limit threshold value (for example, "30" or higher), the probability of error is low, so the biometric information is calculated under high-precision conditions. .. Therefore, when the biometric information is abnormal (abnormal value), it is determined to be a high-precision abnormal value. On the contrary, when the respiratory rate is equal to or less than the lower limit threshold value (for example, "5" or less), the probability of an error in which an abnormal value is erroneously determined because the person is not lying down and the vibration input is small increases. Therefore, when the respiratory rate is equal to or higher than the upper limit threshold value, the reliability of the biological information determined to be abnormal is high (high-precision abnormal value), so that the reference A is used. That is, when the biological information is determined to be abnormal (becomes equal to or higher than the upper limit threshold value) three times in a row, the notification process is executed assuming that the abnormality is detected.

On the contrary, when the reliability of the biometric information determined to be abnormal is low (low-precision abnormal value), the standard B is used. That is, when the biological information is determined to be abnormal 10 times in a row, the notification process is executed assuming that the abnormality is detected.

[1.4 Application examples / effects]
The case where the abnormality reporting system 1 in this embodiment is applied will be described with reference to FIG. FIG. 6 is a graph showing the heart rate on the upper side and a graph showing the respiratory rate on the lower side. Here, the section t is the length of the day, and the dotted line portion indicates the normal range. For example, the normal range of heart rate is the range R10 (40 to 120), and the normal range of respiratory rate is the range R20 (5 to 30).

The black line frame indicates the sleep section. For example, the frame R12 is the sleep section of patient P. Then, the part outside this normal range becomes an abnormal value (all error parts in this case). For example, in the heart rate, the region R14 and in the respiratory rate, the region R22 is an error portion.

It is probable that this patient had no true outliers, as no outliers had ever occurred on the wearable electrocardiograph. However, as shown in FIG. 6, in the non-wearable device, which is inferior in reliability to the wearable type, an abnormal value (that is, a low-precision abnormal value) is calculated to be equal to or higher than the upper limit threshold value for heart rate and lower than the lower limit threshold value for respiratory rate. I understand. All of these abnormal values are unnecessary notifications due to measurement errors. With low-precision abnormal values, unnecessary notification can be suppressed by tightening the criteria for executing notification processing.

Then, in the case of this example, unnecessary notification can be reduced to 0 times by applying this embodiment. That is, in the case of a low-precision abnormal value containing many errors, unnecessary notification is suppressed by tightening the notification standard.

As described above, according to the present embodiment, it is possible to determine the accuracy of the abnormal value at the time of determining the abnormality and change the standard for reporting according to the accuracy of the abnormal value. Since this standard is weighted, it is possible to make a highly accurate report / notification.

Therefore, when reporting an abnormality, it is possible to reduce false alarms and increase the probability of being truly abnormal. If there is a false alarm, it will lead to a decrease in nursing efficiency, so it is necessary not only to suppress the false alarm, but also a report containing many false alarms will be ignored by medical staff and staff, and it is true. It increases the risk that anomalies will be overlooked. By reducing the rate of false alarms, medical staff, staff, etc. will be able to respond appropriately when an abnormality occurs in the target person.

[2. Second Embodiment]
Next, the second embodiment will be described. In the first embodiment, the high-precision abnormal value is determined using biological information such as heart rate and respiratory rate, but in the present embodiment, the high-precision abnormal value is determined using the sleep-wakefulness state of the patient as a condition. is there.

FIG. 6 shows an outline of the sleep section (frame R12, etc.) (actually, the awakening section also exists in the illustrated sleep section), but the sleep section has small abnormal values and variations in values and is highly accurate. You can see that. It is considered that stable measurement is possible for a long period of time when the body is still during sleep. The abnormal value output during sleep is regarded as a high-precision abnormal value.

Specifically, in step S110 of FIG. 5, it is determined whether or not the person is "sleeping". Whether or not the patient P is sleeping may be determined by using any known method, and may be determined based on the body movement data or may be determined based on another sleep state detection device.

Then, if it is sleeping, it is determined that the condition is high accuracy, and the notification process is executed according to the reference A (step S110; Yes → step S112). On the other hand, when awake, the notification process is executed according to the reference B (step S110; No → step S114).

As described above, according to the present embodiment, it is possible to change the standard for performing the notification process according to the sleep state of the patient P. It may be executed in combination with the first embodiment. In this case, for example, in the case of suppressing the notification, the notification processing is executed according to the reference A when the condition is determined to be high accuracy in the first embodiment and the sleep state is reached. Further, for example, when sleeping, the standard A is used, and when awake, the determination is made in the first embodiment. That is, since each process is independent, it is possible to combine them as needed.

[3. Third Embodiment]
Next, the third embodiment will be described. The third embodiment is an embodiment in which, when connected to an external device (state detection device) that generates vibration such as an air mat, the state detection device sets a low accuracy abnormal value during the operation of the air mat.

That is, in step S110 of FIG. 5, when the state detection device detects that the air mat is operating, the output abnormal value is set as a value based on the biological information calculated under the low accuracy condition, according to the reference B. The notification process is executed (step S110; No → step S114).

According to the present embodiment, in addition to the first embodiment and the second embodiment, it is possible to obtain an effect that more unnecessary notifications can be suppressed. Of course, it may be used in combination with any of the processes of the first embodiment and the second embodiment.

[4. Modification example]
Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and the design and the like within a range not deviating from the gist of the present invention are also within the scope of claims. include.

The detection device 3 in the above-described embodiment may be simply placed on the mattress 20 to detect the body movement of the patient P. In this case, although the detection accuracy is lowered, the system can be easily realized by using a smartphone or the like, for example.

In addition, as the biological signal, body movement was described as an example in this embodiment, but for example, temperature (measure the temperature of the nasal breath to calculate the respiratory rate) and blood flow (measure the pulse by the amount of light absorbed). Other biological signals such as, etc. may be used.

1 Abnormality notification system 3 Detection device 5 Processing device 10 Bed 20 Mattress 100 Control unit 200 Biological signal acquisition unit 300 Biological information calculation unit 400 Input unit 450 Output unit 500 Storage unit 510 Biological information data 512 Reference value table 514 Notification standard setting table 516 Condition judgment table 600 Patient status acquisition unit

Claims (4)

A body movement detection device that can detect the body movement of the subject on the air mat,
A biological information acquisition means for acquiring biological information of the subject from the body motion detection device, and
A determination means for determining whether or not the biological information of the subject is abnormal based on the biological information,
Conditional determination means for determining whether the biological information of the subject is acquired in a state satisfying the high accuracy condition, and
When it is determined that the biometric information of the subject is abnormal and it is determined that the biometric information of the subject is acquired in a state satisfying the high accuracy condition, the first criterion is used to report the abnormality of the biometric information of the subject. , In other cases, a reporting means for reporting using the second standard, and
When the subject's biological information is acquired when the air mat is not operating, the condition determining means determines that the subject's biological information has been acquired in a state satisfying the high accuracy condition. Abnormality reporting system characterized by The biological information acquisition means acquires the heart rate or respiratory rate of the subject, and obtains the heart rate or respiratory rate of the subject.
In the condition determination means, when the heart rate value is lower than the reference threshold value or the respiratory rate value is higher than the reference threshold value, the biological information determined to be abnormal is calculated under the high accuracy condition. The abnormality reporting system according to claim 1, wherein it is determined to be biometric information. The abnormality reporting system according to claim 1 or 2, wherein the body motion detection device is a smartphone. A smartphone that can detect the body movements of the subject on the air mat.
A biological information acquisition means for acquiring biological information from the body movement of the subject, and
A determination means for determining whether or not the biological information of the subject is abnormal based on the biological information,
Conditional determination means for determining whether the biological information of the subject is acquired in a state satisfying the high accuracy condition, and
When the biometric information of the subject is determined to be abnormal and is determined to have been acquired in a state satisfying the high accuracy condition, the first criterion is used to report the abnormality of the biometric information of the subject. And, in other cases, the means of reporting using the second standard and
When the subject's biological information is acquired when the air mat is not operating, the condition determining means determines that the subject's biological information has been acquired in a state satisfying the high accuracy condition. A smartphone characterized by doing.

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