KR101861324B1

KR101861324B1 - System and method for determining emergency situations based on motion analysis

Info

Publication number: KR101861324B1
Application number: KR1020170106808A
Authority: KR
Inventors: 김진아
Original assignee: 주식회사 웨어롬
Priority date: 2017-08-23
Filing date: 2017-08-23
Publication date: 2018-06-04
Also published as: WO2019039644A1

Abstract

According to an embodiment of the present invention, an emergency situation determination system based on motion analysis includes a sensor unit measuring a degree of motion of a subject and measuring an electrocardiogram signal and a body temperature of the subject under a predetermined condition; And a controller for controlling the sensor unit to measure the degree of motion of the subject under predetermined measurement conditions. And an emergency determination unit for digitizing the degree of motion of the subject based on the degree of motion measured by the sensor unit and determining whether an emergency situation has occurred based on the measured ECG signal and body temperature and the numerical motion level; And a measurement condition changing unit for changing the predetermined measurement condition based on the quantified motion degree, the server including a server for communicating with the wearable device.

Description

[0001] The present invention relates to a system and method for determining an emergency situation based on motion analysis,

The present invention relates to an emergency situation determination system and method based on motion analysis, and more particularly, to an emergency situation determination system and method based on motion analysis for analyzing the degree of motion of a subject and determining whether an emergency situation occurs.

With the recent rapid aging and the nuclear family, the number of the elderly living alone is increasing. As a result, social problems such as welfare for the elderly, management of the elderly are constantly emerging.

The elderly living alone are easily exposed to sudden accidents, and are living alone, making it difficult to promptly inform them of an accident.

Accordingly, a variety of household appliances for the elderly living alone are being released, and various technologies are being developed to promptly inform emergency situations.

In the past, the interphone was installed in the house of the elderly living alone by using the existing Internet network and the power meter communication network of the electric power consumption remotely without the need of a separate communication line, so that the central control station and the communication channel are formed through the interphone directly Technology has been developed.

However, this prior art has a problem that an elderly person living alone has to talk with a central control station through an interphone directly to identify an emergency situation.

As described above, the elderly living alone are susceptible to sudden accidents due to aging of the body, and if the interphone can not be used in the event of an accident, the conventional technology has a limitation that it can not cope with the emergency situation of the elderly living alone.

Therefore, it is necessary to develop a technology to cope with an emergency situation promptly by judging whether or not an emergency situation exists by utilizing the body information of the elderly living alone and transmitting an alarm to the emergency center automatically in case of an emergency.

KR 1020120059234 A

The present invention is based on a motion analysis based emergency situation determination system and method for determining whether or not an emergency situation occurs by additionally measuring an electrocardiogram signal and a body temperature of a subject after first judging that the degree of motion of the subject is a predetermined value or less, And to provide the above objects.

According to an embodiment of the present invention, an emergency situation determination system based on motion analysis comprises: a sensor unit measuring a degree of motion of a subject and measuring an electrocardiogram signal and a body temperature of the subject under a predetermined condition; And a controller for controlling the sensor unit to measure the degree of motion of the subject under predetermined measurement conditions. And an emergency determination unit for digitizing the degree of motion of the subject based on the degree of motion measured by the sensor unit and determining whether an emergency situation has occurred based on the measured ECG signal and body temperature and the numerical motion level; And a measurement condition changing unit for changing the predetermined measurement condition based on the quantified motion degree, and a server for communicating with the wearable device.

The server may request the wearable device to measure the electrocardiogram signal and the body temperature of the subject if the numerical degree of motion is less than a predetermined value.

The sensor unit may measure the electrocardiogram signal and the body temperature of the subject when the numerical degree of motion is less than a predetermined value.

The emergency determining unit may determine that the ECG signal and the body temperature measured by the sensor unit and the numerically calculated degree of motion satisfies a predetermined rule, as an emergency situation.

The emergency determination unit may determine whether the measured waveform of the electrocardiogram signal is normal or not, and may determine that the waveform is an emergency if it is determined to be abnormal.

The emergency determining unit may determine the emergency situation when the measured body temperature satisfies a predetermined condition.

The emergency determining unit may determine that the numerically calculated degree of motion is inaccurate if the numerically calculated degree of motion does not correspond to the pre-stored range.

The measurement condition changing unit may change the predetermined measurement condition when it is determined that the numerical motion degree is incorrect.

The control unit may control the sensor unit to re-measure the degree of motion of the subject under the changed measurement condition.

The emergency determination unit may quantify the re-measured degree of motion of the subject based on the re-measured measurement value, and determine whether an emergency situation has occurred.

The server may transmit an emergency occurrence alert to the stored emergency contact when it is determined that the emergency is occurring.

According to an embodiment of the present invention, there is provided a method of determining an emergency situation based on motion analysis, comprising: measuring a degree of motion of a subject based on a predetermined measurement condition in a wearable device; In the server, numerically quantifying the degree of motion of the subject based on the measured degree of motion; Measuring an electrocardiogram signal and a body temperature of the subject at the wearable device when the numerical motion level is less than a predetermined value; And determining whether an emergency situation occurs in the server, based on the numerical motion level, the measured electrocardiogram signal, and the body temperature.

The step of quantifying the degree of motion may include the step of changing the predetermined measurement condition when the quantified degree of motion is not included in the pre-stored range.

The step of quantifying the degree of motion may include re-measuring the degree of motion of the subject based on the changed measurement condition in the wearable device.

The step of quantifying the degree of motion may include a step of, in the server, quantifying the re-measured degree of motion of the subject based on the re-measured degree of motion.

The step of determining whether or not the emergency situation occurs may include a step of determining an emergency situation when the numerical motion level, the measured electrocardiogram signal, and the body temperature satisfy a predetermined rule.

The step of determining whether or not the emergency situation occurs may include determining whether the measured waveform of the electrocardiogram signal is normal or not and determining that the waveform is an emergency if it is determined to be abnormal.

The step of determining whether or not the emergency situation occurs may include a step of determining the emergency state when the measured body temperature satisfies a predetermined condition.

The method for determining an emergency situation based on the motion analysis may further include transmitting an emergency occurrence alert to the emergency contact stored in the server when the emergency state is determined to be an emergency.

According to the system and method for determining an emergency situation based on motion analysis according to an embodiment of the present invention, it is possible to accurately measure the occurrence of an emergency situation by measuring not only the movement of the subject but also the electrocardiogram signal and the body temperature.

In addition, when it is determined that the measured value of the motion of the subject is inaccurate, a more accurate measurement result can be obtained by re-measuring the movement of the subject by changing the measurement condition.

In addition, when an emergency situation is determined, an alert can be sent to the stored emergency contact, thereby promptly responding to emergency situations.

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, together with the description, serve to explain the technical features of the invention.
1 is a block diagram of an emergency situation determination system based on motion analysis according to an embodiment of the present invention.
FIG. 2 is a flowchart schematically illustrating an emergency situation determination method based on motion analysis according to an embodiment of the present invention.
FIG. 3 is a flowchart specifically illustrating a step of quantifying the degree of motion in an emergency situation determination method based on motion analysis according to an embodiment of the present invention.
4 is a diagram schematically illustrating a configuration of a wearable device in an emergency situation determination system based on motion analysis according to an embodiment of the present invention.

The terms first and / or second in this specification are used only for the purpose of distinguishing one element from another. That is, the components are not intended to be limited by the terms.

The components, features, and steps referred to in the specification as " comprising " in this specification are intended to mean that there are corresponding components, features, and steps, and do not preclude the presence of one or more other components, features, steps, and the like Is not.

Includes plural forms as long as it is not specified and specified in the singular form herein. That is, the components and the like referred to in this specification may mean the presence or addition of one or more other components or the like.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs to be.

That is, terms such as those defined in commonly used dictionaries should be construed as meaning consistent with meaning in the context of the related art, and unless otherwise expressly defined herein, interpreted in an ideal or overly formal sense It does not.

Hereinafter, a motion analysis based emergency situation determination system and method according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of an emergency situation determination system based on motion analysis according to an embodiment of the present invention.

Referring to FIG. 1, an emergency situation determination system based on motion analysis according to an embodiment of the present invention includes a wearable device 100 including a sensor unit 101, a control unit 103 and a transceiver unit 105, And a server 200 including a determination unit 201, a measurement condition changing unit 203, a storage unit 205, and a transmission / reception unit 207.

The wearable device 100 may communicate with the server 200 via a wireless network.

The wearable device 100 may be in the form of a necklace, a wristband or the like, and may be worn on the wrist, neck or the like of the subject.

The sensor unit 101 may include a plurality of sensors such as an acceleration sensor, an electrocardiogram sensor, and a temperature sensor.

The sensor unit 101 may measure the degree of movement of the subject under the command of the control unit 103 according to a predetermined measurement condition in the server 200. [

The predetermined measurement condition in the server 200 may include a measurement period of the sensor unit 101. [

For example, the measurement condition may be preset so that the sensor unit 101 can measure the degree of movement of the subject with a 20 ms cycle, and the predetermined measurement condition may be a measurement condition change unit (not shown) included in the server 200 203). &Lt; / RTI >

In addition, the sensor unit 101 can measure the electrocardiogram signal and the body temperature of the subject under the predetermined condition determined by the server 200.

The emergency determination unit 201 in the server 200 receives a sensed value from the wearable device 100 that measures the degree of motion of the subject at the sensor unit 101 and calculates a sensed value to quantify the degree of motion of the subject Herein, the predetermined condition is a case where the degree of numerical motion is less than a predetermined value.

Here, the predetermined value is a predetermined value in the server 200, and is a predetermined value for determining the degree of motion of the subject digitized by the emergency determining unit 201. For example, It can be a reference numerical value that can be judged.

The quantification of the sensed value with respect to the degree of motion of the subject can be performed by using the average value, the standard deviation, and the maximum value of the measured values. Hereinafter, the description is limited to the numerical value of the degree of motion using the standard deviation, but this is merely an example of the present invention, and the present invention is not limited thereto.

For example, when a certain value (a reference value for judging that there is little motion) is a standard deviation and the value is set to 20 in the emergency judgment unit 201, the emergency judgment unit 201 judges whether the degree of motion ) Is 20 or less, it can be determined that there is almost no motion of the subject.

That is, the emergency determination unit 201 can determine whether or not there is a movement of the subject by digitizing the degree of movement of the subject sensed by the sensor unit 101.

In addition, when it is determined that there is no movement of the subject, the server 200 determines whether the subject does not move is an emergency situation of the subject or simply does not move the subject, The control unit 103 of the device 100 causes the sensor unit 101 to sense at least one of the electrocardiogram signal and the body temperature of the subject.

That is, the sensor unit 101 can measure the electrocardiogram signal and the body temperature of the subject only when the degree of motion digitized by the emergency determination unit 201 is equal to or less than a predetermined value.

The control unit 103 can control the sensor unit 101 to measure the degree of motion of the subject under the measurement conditions preset in the server 200. [

Further, when the measurement condition is changed in the measurement condition changing unit 203, the control unit 103 can control the sensor unit 101 to re-measure the movement of the subject in accordance with the changed measurement condition.

The transmitting and receiving unit 105 of the wearable device 100 can perform wireless data communication with the transmitting and receiving unit 207 of the server 200 such as Bluetooth.

The transceiver unit 105 may transmit one or more of the measured values measured by the sensor unit 101 (degree of motion of the subject, electrocardiogram signal, body temperature, etc.) to the server 200.

The transceiver unit 105 also receives a request for the electrocardiogram signal and the temperature measurement value from the server 200 and a measurement condition changed in the measurement condition changing unit 203 to cause the control unit 103 to transmit the measurement condition to the sensor unit 101 The degree of movement of the subject, the electrocardiogram signal, and the body temperature.

The emergency judging unit 201 can judge that there is little motion when the numerical motion degree is below a predetermined value. In this case, the server 200 may request the wearable device 100 to measure the electrocardiogram signal and the body temperature of the subject in order to determine whether an emergency occurs.

The emergency determination unit 201 can determine that the ECG signal, the body temperature, and the numerical movement degree measured by the sensor unit 101 satisfy an emergency rule.

Here, the predetermined rule refers to a predetermined rule that can be judged as an emergency. The predetermined rule may be arbitrarily set by the administrator of the server 200 and may be set based on accumulated data accumulated through experiments. These rules are rules that can be used to judge an emergency situation as a result of three comparisons by comparing numerical values obtained by digitizing the electrocardiogram signal, body temperature, and motion level to predetermined criteria.

For example, the emergency determining unit 201 may determine that the subject is in an emergency situation when the numerical motion level is less than a predetermined value and the waveform of the measured electrocardiogram signal indicates an abnormal rhythm.

That is, the emergency determining unit 201 may determine whether the waveform of the measured electrocardiogram signal is normal when the numerical motion level is below a predetermined value, and may determine that the EMG signal is abnormal if it is determined to be abnormal.

For example, it is judged that the numerical motion level is less than a predetermined value, the motion of the subject is scarcely present, and an emergency situation can be judged when the waveform of the electrocardiogram signal of the subject indicates an abnormal rhythm.

Since the electrocardiogram signal is recorded in the form of wavelength by analyzing the electrical activity of the heart, it is possible to determine whether an emergency occurs by analyzing the waveform of the electrocardiogram signal.

The waveform of the electrocardiogram signal is divided into P wave, QRS complex, and T wave, and the waveform of the normal electrocardiogram signal appears as a repetition of P-QRS-T.

Therefore, when the waveform of the electrocardiogram signal of the subject appears as an abnormal rhythm rather than a repetition of P-QRS-T, which is a waveform of a normal electrocardiogram signal, the emergency judging unit 201 can judge the emergency situation.

In addition, the emergency judging unit 201 can judge the emergency situation when the numerical motion degree is less than a predetermined value and the measured body temperature of the subject meets a certain condition.

Here, the case where the measured body temperature of the subject meets a certain condition may be a case where the condition of lowering the body temperature of the subject measured according to the passage of time is satisfied.

For example, when the subject does not move and the body temperature measured according to the time decreases, the emergency judgment unit 201 can determine that an emergency has occurred to the subject.

On the other hand, when the degree of the digitized movement is less than a predetermined value, the waveform of the electrocardiogram shows normal rhythm and the normal body temperature is maintained, the emergency determining unit 201 can judge that the situation is not an emergency but merely a motionless state .

In this way, the emergency determination unit 201 can determine whether an emergency situation has occurred based on the measured electrocardiogram signal, the temperature, and the degree of the digitized motion.

That is, a case where a predetermined rule capable of judging that an emergency situation has occurred to a subject is satisfied when the numerical motion degree is below a certain value and the electrocardiogram indicates an abnormal rhythm, or when the numerical motion degree is below a certain value, Lt; / RTI >

The server 200 can transmit an emergency occurrence alert to the emergency contact stored in the storage unit 205 when the emergency determination unit 201 determines that an emergency has occurred to the subject.

Emergency contacts can be set by the 119 Safety Report Center, the subject's guardian, or the contact details of a third party.

If the numerical motion level does not correspond to the pre-stored range, the emergency determining unit 201 can determine that the numerical motion level is inaccurate.

Here, the pre-stored range is a range in which the accumulated data is divided into numerical values according to the degree of motion, and the numerical range may be a standard deviation of the measured sensing values.

For example, when the degree of motion of accumulated data is numerically expressed by standard deviation, the pre-stored range may be a standard deviation of more than 120 and less than 200, a standard deviation of more than 20 and less than 120, and a standard deviation of less than 20.

In this case, when the degree of motion of the measured subject is equal to or greater than 120 and the standard deviation is less than 200, the measured person is in the current motion state. If the standard deviation is more than 20 and less than 120, It can be determined that there is almost no motion.

If the numerical value that does not correspond to the pre-stored range appears, for example, in the case where the degree of motion of the measured subject is 300 or more, the emergency determining unit 201 determines that the numerical motion degree is incorrect .

That is, the emergency determining unit 201 can determine whether the degree of motion of the digitized subject is inaccurate based on the range classified according to the degree of numerical motion of the accumulated data. In the end, the emergency determining unit 201 performs numerical calculation based on the sensed value in the sensor unit 101. Therefore, if the numerical value of the movement of the subject does not fall within the pre-stored range, It is determined that there is an error in the sensing value received from the sensor.

In this case, the degree of motion of the subject is measured again. The measurement condition changing unit 203 changes the measurement condition of the sensor unit 101, and the control unit 103 controls the sensor unit 101 according to the changed measurement conditions. To measure the degree of movement of the subject.

For example, the measurement condition may include a measurement period of the sensor unit 101. [

The measurement conditions changed in the measurement condition changing unit 203 can be transmitted to the transmitting and receiving unit 105 of the wearable device 100 and the control unit 103 can apply the changed measurement conditions to the wearable device 100 .

The control unit 103 can control the sensor unit 101 to re-measure the degree of motion of the subject under the changed measurement conditions.

The measurement value obtained by measuring the degree of motion re-measured by the sensor unit 101 may be transmitted to the server 200, and the emergency determination unit 201 may quantify the degree of motion of the re-measured subject.

For example, when it is determined that the numerical value of the motion after the first remeasurement is incorrect, the measurement condition changing unit 203 changes the measurement condition again, and the sensor unit 101 returns again under the changed measurement conditions. The urgency determining unit 201 can measure the degree of movement of the measurer, and can quantify the degree of movement of the subject according to the second remeasurement.

On the contrary, when the degree of movement of numerical value according to the first remeasurement is less than a predetermined value, the sensor unit 101 measures the electrocardiogram signal and the body temperature of the subject, and the emergency judgment unit 201 judges It is possible to judge whether or not an emergency occurs based on the numerical motion level, the measured electrocardiogram signal, and the body temperature.

In other words, the measurement condition changing unit 203 changes the measurement condition until the degree of movement quantified by the emergency determining unit 201 is determined to be correct, and the sensor unit 101 measures the degree of movement of the subject under the changed measurement conditions Can be repeatedly performed.

The storage unit 205 may store measured values measured by the sensor unit 101 and transmitted to the server 200. [

The stored measured values can be processed and stored in the form of a graph, and the subject or manager can access the server 200 to check the health status of the subject in real time.

In addition, the storage unit 205 may store data accumulated through experiments, and information on a pre-stored range capable of classifying the degree of motion of the digitized motion based on the data may be stored.

Accordingly, after comparing the degree of motion quantified by the emergency determining unit 201 with the pre-stored range stored in the storage unit 205, the server 200 determines whether or not the degree of motion is equal to or less than a predetermined value, To request the subject's electrocardiogram signal and body temperature measurement.

The storage unit 205 may store an emergency contact for the subject. If it is determined that an emergency has occurred to the subject, the server 200 can transmit an emergency occurrence alert to the stored emergency contact.

Emergency contacts may be set up by the 119 Safe Report Center, the subject's guardian, or a third party, depending on the setting. This is to enable flexible and prompt response to emergencies.

FIG. 2 is a flowchart schematically illustrating an emergency situation determination method based on motion analysis according to an embodiment of the present invention.

FIG. 3 is a flowchart specifically illustrating a step of quantifying the degree of motion in an emergency situation determination method based on motion analysis according to an embodiment of the present invention.

Referring to FIGS. 2 and 3, a method for determining an emergency situation based on motion analysis according to an embodiment of the present invention includes a step of measuring a degree of motion (S101), a step of digitizing a degree of motion (S103) (S105), a step of measuring an electrocardiogram signal and a body temperature (S107), and a step of determining an emergency state (S109).

Step S101 of measuring the movement is a step performed by the sensor unit 101 included in the wearable device 100 and is a step of measuring the degree of movement of the subject at the sensor unit 101. [

Step S103 of quantifying the degree of motion is a step performed by the emergency determining unit 201 included in the server 200 and is a step of digitizing the degree of motion of the subject measured by the sensor unit 101. [

Step S103 of quantifying the degree of motion includes step S201 of judging whether the numerical degree of motion is included in the preset range, step S203 of changing the measuring condition, step S205 of re-measuring the degree of motion, And a step (S207) of digitizing the measured degree of motion.

The step S201 of determining whether the numerical motion degree is included in the preset range is a step of comparing whether the digitized motion degree is inaccurate by comparing the digitized motion degree with the pre-stored range.

The measurement condition changing unit 203 does not change the measurement condition and the emergency determining unit 201 can determine whether or not an emergency situation occurs based on the numerical motion level have.

The step of changing the measurement condition (S203) is a step of changing the measurement condition when the numerical movement degree does not correspond to the pre-stored range.

If the digitized motion level does not correspond to the pre-stored range, the emergency determining unit 201 may determine that the sensing value of the degree of motion of the subject at the sensor unit 101 is incorrect.

The server 200 may transmit the changed measurement condition to the wearable device 100. [

The step of re-measuring the degree of motion (S205) is a step of re-measuring the degree of motion of the subject based on the changed measurement condition in the sensor unit (101).

The sensing unit 101 may re-measure the degree of motion of the subject under the changed measurement conditions and the sensed value of the degree of motion of the subject may be transmitted to the server 200 through the transmission / reception unit 105 .

Step S207 of quantifying the re-measured motion level is a step performed by the emergency determining unit 201 and is a step of numerically calibrating the degree of motion of the subject re-measured under the changed measurement condition.

If the numerical motion level does not correspond to the pre-stored range through the step of digitizing the degree of motion (S103), the predetermined measurement condition is changed, and the degree of motion of the subject is re-measured based on the changed measurement condition, The emergency situation can be judged more accurately.

The step of determining whether the numerical motion degree is less than a predetermined value (S105) is a step of judging whether the subject is in motion-free state through the numerical motion degree.

The step of measuring the electrocardiogram signal and the body temperature of the subject (S107) is a step of measuring the electrocardiogram signal and the body temperature of the subject by the sensor unit 101 when the numerical degree of motion is below a predetermined value.

In this case, in order to determine whether or not an emergency occurs, the step of measuring the electrocardiogram signal and the body temperature of the subject (S107) is performed .

If the numerical motion degree exceeds a certain value, the measured person may be judged to be in a moving state, so that the step of measuring the electrocardiogram signal and the body temperature of the subject (S107) may not be performed.

When the degree of the numerical motion is less than a predetermined value, the server 200 may request the wearable device 100 to measure the electrocardiogram signal and the body temperature of the subject.

The sensor unit 101 included in the wearable device 100 receives the request and measures the electrocardiogram signal and the body temperature of the subject and the measured values of the measured electrocardiogram signal and the body temperature are transmitted to the server 200 through the transmission / Lt; / RTI >

The step of judging the emergency situation (S109) is a step of judging the emergency situation based on the numerical motion level, the measured electrocardiogram signal, and the body temperature in the emergency judging unit (201).

The emergency determining unit 201 may determine that an emergency situation has occurred when the electrocardiogram signal measured by the sensor unit 101, the body temperature, and the degree of movement of the digitized blood satisfy a predetermined rule.

For example, when the numerical motion degree is below a predetermined value, the waveform of the measured electrocardiogram signal is normal rhythm, and the measured body temperature is maintained in the normal range, the state of the subject is not simply moved, Can be judged.

Alternatively, if the numerical motion level is less than a certain value and the waveform of the measured electrocardiogram signal is abnormal, it can be judged as an emergency situation.

In addition, even when the degree of the numerical motion is less than a certain value and the measured body temperature is lowered with time, it can be judged as an emergency condition.

It can be judged that an emergency has occurred according to the numerical degree of motion, the measured electrocardiogram, and predetermined rules for body temperature.

In the step S111 of transmitting the emergency alert, when it is determined in the step of determining the emergency state (S109) that an emergency has occurred to the subject, the server 200 transmits the emergency contact stored in the storage unit 205 And transmitting a situation occurrence alarm.

This is to respond quickly to emergencies by sending an emergency alert with the emergency contact.

4 is a diagram schematically illustrating a configuration of a wearable device in an emergency situation determination system based on motion analysis according to an embodiment of the present invention.

4, the sensor unit 101 included in the wearable device 100 may include an electrocardiogram sensor 401, an acceleration sensor 403, and a temperature sensor 405.

It is possible to measure the degree of motion of the subject through the acceleration sensor 403. When the degree of motion quantified by the emergency determining unit 201 is less than a predetermined value, the electrocardiogram signal of the subject is read through the electrocardiogram sensor 401, The body temperature of the subject can be measured through the sensor 405.

The configuration diagram according to the embodiment of the present invention shows a configuration including the electrocardiogram sensor 401, the acceleration sensor 403 and the temperature sensor 405. The sensor unit 101 may be provided with a pulse sensor, And various sensors such as a concentration measuring sensor may be additionally included.

As the sensors are added to the sensor unit 101, predetermined rules set for determining whether an emergency occurs can be changed.

For example, when the sensor unit 101 further includes a pulse sensor, it can be determined that the digitized motion is below a predetermined value, and the measured pulse is below a predetermined level.

As another example, in the case where a sensor for measuring oxygen concentration in blood is further included, an emergency can be determined even when the degree of numerical motion is below a predetermined value and the oxygen concentration in blood is below a certain level.

Although the description herein has been made in some illustrative aspects, various modifications and variations can be made from the categories defined by the following claims, and the technical scope of the invention is defined in the following claims It should be decided by.

100: wearable device 203: measurement condition changing section
101: sensor unit 205: storage unit
103: Control section 207: Transmitting /
105: Transmitting / receiving unit 401: Electrocardiogram sensor
200: server 403: acceleration sensor
201: Emergency determination unit 405: Temperature sensor

Claims

A sensor unit for measuring a degree of motion of the subject and measuring an electrocardiogram signal and a body temperature of the subject under a predetermined condition; And
And a controller for controlling the sensor unit to measure the degree of motion of the subject under predetermined measurement conditions. And
Wherein the controller measures the degree of motion of the subject based on the degree of motion measured by the sensor unit to determine whether the degree of motion of the subject corresponds to the pre-stored range,
An emergency judging unit for judging whether or not an emergency situation occurs based on the measured electrocardiogram signal, the body temperature and the numerical motion level; And
And a measurement condition changing unit for changing the predetermined measurement condition when it is determined that the numerical value of the motion does not correspond to the pre-stored range and is incorrect, and a server for communicating with the wearable device,
An Emergency Assessment System Based on Motion Analysis.

The method according to claim 1,
The server comprises:
And requesting the wearable device to measure the electrocardiogram signal and the body temperature of the subject if the numerical value of the motion is less than a predetermined value,
An Emergency Assessment System Based on Motion Analysis.

The method according to claim 1,
The sensor unit includes:
And measuring an electrocardiogram signal and a body temperature of the subject when the numerical motion degree is less than a predetermined value,
An Emergency Assessment System Based on Motion Analysis.

The method according to claim 1,
The emergency judging unit,
An ECG signal and a body temperature measured by the sensor unit and a degree of movement of the ECG signal measured by the sensor unit satisfy a predetermined rule,
An Emergency Assessment System Based on Motion Analysis.

The method according to claim 1,
The emergency judging unit,
Determining whether the measured waveform of the electrocardiogram signal is normal, determining whether the waveform of the electrocardiogram signal is abnormal,
An Emergency Assessment System Based on Motion Analysis.

The method according to claim 1,
The emergency judging unit,
And judging the emergency situation when the measured body temperature satisfies a predetermined condition,
An Emergency Assessment System Based on Motion Analysis.

delete

The method according to claim 1,
Wherein,
And controlling the sensor unit to re-measure the degree of motion of the subject under the changed measurement condition,
An Emergency Assessment System Based on Motion Analysis.

10. The method of claim 9,
The emergency judging unit,
Measuring the degree of movement of the re-measured subject based on the re-measured measurement value, and determining whether an emergency situation has occurred,
An Emergency Assessment System Based on Motion Analysis.

The method according to claim 1,
The server comprises:
If an emergency situation is determined, an emergency alert is sent to the pre-stored emergency contact,
An Emergency Assessment System Based on Motion Analysis.

Measuring a degree of motion of the subject based on a predetermined measurement condition in the wearable device;
The method comprising the steps of: in the server, quantifying the degree of motion of the subject based on the measured degree of motion, and determining whether the quantified degree of motion corresponds to a pre-stored range;
Changing, by the server, the predetermined measurement condition if it is determined that the numerical motion degree is incorrect, which does not correspond to the pre-stored range;
Measuring an electrocardiogram signal and a body temperature of the subject at the wearable device when the numerical movement degree corresponds to the pre-stored range and is less than a predetermined value; And
And determining in the server whether an emergency situation has occurred, based on the quantified degree of motion, the measured electrocardiogram signal and the body temperature.
An Emergency Assessment Method Based on Motion Analysis.

13. The method of claim 12,
After the step of changing the predetermined measurement condition,
Repeatedly performing the step of measuring the degree of motion or changing the measurement condition based on the changed measurement condition until the quantified degree of motion corresponds to the pre-stored range,
An Emergency Assessment Method Based on Motion Analysis.

delete

13. The method of claim 12,
The step of determining whether the emergency situation occurs may include:
Determining an emergency situation when the measured degree of motion, the measured electrocardiogram signal, and the body temperature satisfy a predetermined rule;
An Emergency Assessment Method Based on Motion Analysis.

13. The method of claim 12,
The step of determining whether the emergency situation occurs may include:
Determining whether the measured waveform of the electrocardiogram signal is normal or not, and determining that the waveform is abnormal if it is determined to be abnormal,
An Emergency Assessment Method Based on Motion Analysis.

13. The method of claim 12,
The step of determining whether the emergency situation occurs may include:
Determining if the measured body temperature satisfies a predetermined condition,
An Emergency Assessment Method Based on Motion Analysis.

13. The method of claim 12,
According to the motion analysis-based emergency situation determination method,
Further comprising the step of transmitting an emergency alert from the server to the stored emergency contact when it is determined that the emergency is an emergency,
An Emergency Assessment Method Based on Motion Analysis.