KR20220071099A - Health Care Service Providing System Including Wireless Medical Device of Human Attachment Type having Lowe Power Mode Based on IoT - Google Patents

Abstract

The present invention relates to a healthcare service providing system which can determine whether to operate in a low power mode according to whether a medical device is worn on a human body. According to one aspect of the present invention, the healthcare service providing system comprises: a wireless medical device acquiring biometric information including electromyograph information and motion information of a user when operating in a normal mode; a service providing server predicting whether the user has dementia on the basis of a dementia probability acquired by inputting the biometric information into a dementia risk group determination model implemented as a deep learning-based neural network model and a question/answer result acquired through provision of a dementia question/answer service; and a dementia determination application installed in a user terminal of the user to provide the dementia question/answer service to the user and generating and providing the question/answer result to the service providing server. The wireless medical device includes: a wearing detection unit detecting whether the wireless medical device is worn on the user's body; a controller operating the wireless medical device in the normal mode or the low power mode according to whether being is worn on the user's body; a biometric information acquisition unit activated when operating in the normal mode to acquire the biometric information; a wireless communication unit activated when operating in the normal mode to transmit the biometric information to the service providing server; and a battery supplying power to the biometric information acquisition unit and the wireless communication unit when operating in the normal mode, and cutting off power supply to the biometric information acquisition unit and the wireless communication unit when operating in the low power mode.

Description

Health Care Service Providing System Including Wireless Medical Device of Human Attachment Type having Lowe Power Mode Based on IoT

The present invention relates to a medical device, and more particularly, to a medical device that can be attached to a human body.

Techniques for measuring various health states of the human body using biosignals or user's movement signals are being researched. The biosignal may include, for example, an electroencephalogram (EEG), an electromyogram (EMG), and an electrocardiography (ECG).

In order to acquire a user's bio-signal or motion signal, a sensor for acquiring a bio-signal or a medical device equipped with a sensor for acquiring a motion signal must be attached to the human body. In the case of a medical device that acquires biometric information that can be sensed even when the user is not moving, even if power is supplied from an external commercial power source through a power supply cable, the user's inconvenience is not great, but biosignals that change according to the user's movement Alternatively, in the case of a medical device that needs to acquire a user's motion signal, when power is supplied through a power supply cable, there is a problem that the user's discomfort may increase due to the power supply cable.

In order to solve this problem, it is possible to consider the development of a body-worn type wireless medical device that can receive power from the battery by embedding a battery. When operating in this state, there is a problem that battery power consumption increases, and when the power of the medical device is manually turned on and off according to the measurement request for bio or motion signals, the inconvenience of the medical device manager is increased as well as frequent on-off. There is a problem in that a malfunction of the medical device may occur due to the off state.

The present invention is to solve the above problems, and provides an IoT-based low-power mode-supporting wireless medical device that can automatically determine whether to operate in a low-power mode depending on whether the medical device is worn on the human body, and a health care service including the same Its technical task is to provide a system.

In addition, the present invention determines whether the user is included in the dementia risk group based on the biometric information obtained by the IoT-based wireless medical device, and provides a dementia questionnaire service using the user terminal of the user to determine whether or not dementia is present. Another technical task is to provide a predictable IoT-based low-power mode support body-mounted wireless medical device and a health care service providing system including the same.

In order to achieve the above object, a health care service providing system including an IoT-based low-power mode support body attachable wireless medical device according to an aspect of the present invention for achieving the above object is worn on a user's body, and any one of a low-power mode and a normal mode a wireless medical device operating in one mode and acquiring biometric information including EMG information and motion information of the user when operating in the normal mode; Dementia probability obtained by receiving the biometric information from the wireless medical device, and inputting the biometric information into a dementia risk group determination model implemented as a deep learning-based neural network model, and providing a dementia question and answer service for the user a service providing server for predicting whether the user has dementia based on the results of the questions and answers obtained through the; and a dementia determination application installed in the user terminal of the user to provide the dementia question-and-answer service to the user, and to provide the question-and-answer result generated as a result of the dementia question-and-answer service to the service providing server, the wireless medical device is, a human body wear detection unit for detecting whether the wireless medical device is worn on the user's body; a controller configured to operate the wireless medical device in one of the normal mode and the low power mode according to whether the wireless medical device is worn on the human body; a biometric information acquisition unit activated when the wireless medical device operates in the normal mode to acquire the biometric information; a wireless communication unit that is activated when the wireless medical device operates in the normal mode and transmits the biometric information to a service providing server; and supplying power to the biometric information obtaining unit and the wireless communication unit when the wireless medical device operates in the normal mode, and supplying power to the biometric information obtaining unit and the wireless communication unit when the wireless medical device operates in the low power mode It is characterized in that it includes a battery to block the.

In one embodiment, the service providing server, EMG information for learning, movement information for learning, and the dementia risk group judgment model that is learned in advance using a plurality of data sets consisting of dementia determination data; a dementia risk group determining unit that inputs the EMG information and motion information into the dementia risk group determination model, and determines that the user is included in the dementia risk group if the dementia probability calculated by the dementia risk group determination model is greater than or equal to a predetermined threshold; When it is determined that the user is included in the dementia risk group, a dementia question and answer service including an execution command of the dementia determination application, link information for downloading the dementia determination application, and a question list for the dementia question and answer service is started It may include a dementia prediction unit that generates a request and transmits it to the user terminal, and predicts whether the user has dementia by using the Q&A result received from the user terminal and a dementia determination table stored in a database.

In addition, the dementia determination application, the contact information and recent call list stored in the user terminal, the contact information and conversation list on the SNS installed in the user terminal, the user's obtained from the location information of the user terminal Generates a question and answer for the dementia questionnaire service based on at least one of recently visited area information or visited area information with a frequency greater than or equal to a reference value, and information on an application having a frequency of use greater than or equal to a reference value among applications installed in the user terminal can do.

In an embodiment, the biometric information acquisition unit includes: an electromyogram sensor configured to acquire EMG information from the user using a plurality of electrodes in contact with the user's body; and a motion detection sensor configured to acquire motion information of a region from which the EMG information is obtained by the EMG sensor.

In one embodiment, the body wear detection unit, a temperature sensor for detecting the temperature of the user; and at least one of a blood flow sensor sensing the user's blood flow.

In one embodiment, the dementia determination application outputs questions for the dementia question answering service through a speaker of the user terminal or as an image through a screen of the user terminal, and answers the questions with a microphone , a mouse, or an input tool such as a stylus pen, or a touch input by a finger.

In one embodiment, the dementia risk group determination model is a generative adversarial network (GAN)-based deep learning learned using a plurality of learning data sets consisting of EMG information for learning, movement information for learning, and dementia determination data. It is characterized in that the dementia probability is calculated from the EMG information and the motion information using a model.

According to the present invention, when it is determined that the medical device is not worn on the human body as a result of determining whether the medical device is worn on the human body, the medical device is operated in a low-power mode in which power supply to components included in the medical device is cut off from the battery. This has the effect of reducing the power consumption of the medical device.

In addition, according to the present invention, since the switch to the low-power mode is automatically performed according to the result of determining whether the medical device is worn on the human body, the medical device manager does not need to separately turn on/off the medical device, thereby increasing the convenience of use. have.

In addition, according to the present invention, power consumption of the medical device can be reduced without turning on/off the power of the medical device, thereby preventing malfunction of the medical device due to frequent on-off.

In addition, according to the present invention, by inputting the biometric information obtained by the IoT-based wireless medical device into the dementia risk group determination model implemented with an AI algorithm, the possibility of dementia of the user is primarily determined, and if the probability of dementia is higher than the threshold, the user It has the effect of improving the accuracy of dementia prediction by predicting whether dementia is present in two steps because it is possible to predict whether dementia is present by additionally proceeding with a predetermined dementia question-and-answer service through the user terminal of

In addition, according to the present invention, since the dementia judgment application can automatically generate a question for the dementia question answering service, it is possible to further improve the accuracy of dementia prediction by generating a question optimized for each user.

1 is a diagram showing the configuration of a health care service providing system including an IoT-based low-power mode support body attachable type wireless medical device according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating an example of the wireless medical device shown in FIG. 1 .
FIG. 3 is a block diagram schematically showing the configuration of a body-worn type wireless medical device supporting the low power mode shown in FIG. 1 .
4 is a block diagram schematically showing the configuration of a service providing server according to an embodiment of the present invention.

Like reference numerals refer to substantially identical elements throughout. In the following description, a detailed description of configurations and functions known in the art and cases not related to the core configuration of the present invention may be omitted. The meaning of the terms described in this specification should be understood as follows.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention belongs It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims.

The shapes, sizes, proportions, angles, numbers, etc. disclosed in the drawings for explaining the embodiments of the present invention are illustrative and the present invention is not limited to the illustrated matters. Like reference numerals refer to like elements throughout. In addition, in describing the present invention, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

When 'including', 'having', 'consisting', etc. mentioned in this specification are used, other parts may be added unless 'only' is used. When a component is expressed in the singular, cases including the plural are included unless otherwise explicitly stated.

In interpreting the components, it is construed as including an error range even if there is no separate explicit description.

In the case of a description of a temporal relationship, for example, 'immediately' or 'directly' when a temporal relationship is described with 'after', 'following', 'after', 'before', etc. It may include cases that are not continuous unless this is used.

Although the first, second, etc. are used to describe various elements, these elements are not limited by these terms. These terms are only used to distinguish one component from another. Accordingly, the first component mentioned below may be the second component within the spirit of the present invention.

The term “at least one” should be understood to include all possible combinations of one or more related items. For example, the meaning of “at least one of the first, second, and third items” means that each of the first, second, or third items as well as two of the first, second and third items are It may mean a combination of all items that can be presented from more than one.

Each feature of the various embodiments of the present invention may be partially or wholly combined or combined with each other, technically various interlocking and driving are possible, and each of the embodiments may be independently implemented with respect to each other or implemented together in a related relationship. may be

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram showing the configuration of a health care service providing system including an IoT-based low-power mode support body-worn type wireless medical device according to an embodiment of the present invention. As shown in FIG. 1, a health care service providing system (100, hereinafter referred to as a 'health care service providing system') including an IoT-based low-power mode support body attachable wireless medical device is a human body attachable type wireless medical device ( 110), the service providing server 120, and the user terminal 130 by including, based on the user's biometric information to provide a health care service to the user.

In particular, the health care service providing system 100 according to the present invention may predict whether the user has dementia based on biometric information obtained from the user, and may provide the predicted result to the user.

The body-mountable wireless medical device 110 (hereinafter, referred to as a 'wireless medical device') acquires the user's biometric information from the user by being worn on the user's body. In an embodiment, the wireless medical device 110 may acquire the user's EMG information as biometric information. In this case, since there may be subtle changes in the EMG information according to the movement and posture of the user, the wireless medical apparatus 110 according to the present invention may additionally acquire the user's movement information in order to obtain more accurate EMG information.

In one embodiment, as shown in FIG. 2, the wireless medical device 110 according to the present invention further includes a band 210 to be attached to the user's body part (eg, the user's arm or the user's leg). It can be implemented as a band type that can be worn to detect movement and electromyography at the wearing part.

The wireless medical device 110 implemented as such a band type is a body part with muscles used during the user's exercise, and is worn on a body part that moves by stretching the corresponding muscle, thereby simultaneously acquiring a related mechanical movement and an EMG through exercise. be able to do

Hereinafter, the configuration of a wireless medical device according to an embodiment of the present invention will be described in more detail with reference to FIG. 3 .

3 is a block diagram schematically showing the configuration of a wireless medical device according to an embodiment of the present invention.

As shown in FIG. 3 , the wireless medical device 110 according to an embodiment of the present invention includes a biometric information acquisition unit 300 , a control unit 320 , a body wear detection unit 330 , a wireless communication unit 340 , and a battery 350 .

The biometric information acquisition unit 300 acquires the user's biometric information by contacting the user's body. In one embodiment, as shown in FIG. 3 , the biometric information acquisition unit 300 may be a multi-sensor implemented by integrating the electromyography sensor 305 and the motion detection sensor 310 into one.

In FIG. 3, the biometric information acquisition unit 300 is shown as an integrated configuration of the EMG sensor 305 and the motion detection sensor 310, but the biometric information acquisition unit 300 includes the EMG sensor 305 and the motion detection sensor ( 310) may be included as a separate configuration.

First, the EMG sensor 305 included in the biometric information acquisition unit 300 acquires the user's EMG information through a plurality of electrodes that come into contact with the user's body when the wireless medical device 110 operates in the normal mode. The electromyography sensor 305 is a sensor that detects electricity emitted from the user's muscles by measuring the difference between the electrical signals of the two electrodes. After removing noise from the signals measured at the two electrodes, it amplifies and rectifies to output electromyography (EMG) information. do.

In one embodiment, the electromyography sensor 305 may be included in the wireless medical device 110 so that a plurality of electrodes are in direct contact with the user's body. For example, the electromyography sensor 305 may be included in the wireless medical device 110 in a form in which a plurality of electrodes can be in contact with the user's calf or forearm.

The motion detection sensor 310 included in the biometric information acquisition unit 300 measures motion information of a portion where the EMG information is measured by the EMG sensor 305 when the wireless medical device 110 operates in the normal mode. .

The reason that the biometric information obtaining unit 300 according to the present invention further includes the motion sensor 310 in addition to the EMG sensor 305 is the EMG information obtained by the EMG sensor 305 according to the user's movement and posture. Since there may be subtle changes in EMG, when EMG information according to a predetermined motion of the same body part of the user is obtained by the EMG sensor 305, the motion information of the user is obtained through the motion sensor 310.

For example, the EMG information detected when the user clenches and opens a fist without moving the arm and the EMG information detected when the user clenches and opens the fist while shaking the arm up and down is the same as when the user clenched and opened the same fist. Even motion may be detected in other forms due to the influence of gravity or the like.

Accordingly, the biometric information acquisition unit 300 according to the present invention additionally measures the motion information of the part where the EMG is measured through the motion sensor 310, so that the motion information measured by the motion sensor 310 is converted into the EMG. It should be reflected in the processing of information.

The type of the motion sensor 310 is not particularly limited, and for example, a gyrosensor, an inertial sensor (IMU sensor), or an accelerometer may be used.

The controller 320 operates the wireless medical device 110 in either a normal mode or a low power mode depending on whether the wireless medical device 110 is worn on the human body. Specifically, when it is determined that the wireless medical device 110 is worn on the human body, the controller 320 operates the wireless medical device 110 in the normal mode, and when it is determined that the wireless medical device 110 is not worn on the human body, the controller 320 wirelessly The medical device 110 is operated in a low power mode.

When the control unit 320 operates the wireless medical device 110 in the normal mode, the control unit 320 causes the EMG sensor 305 and the motion detection sensor 310 to be normally supplied with power from the battery 350, so that the EMG The sensor 305 and the motion detection sensor 310 may perform a sensing operation. In particular, the controller 320 according to the present invention operates the EMG sensor 305 and the motion sensor 310 to be time-synchronized when the wireless medical device 110 operates in the normal mode, thereby temporally synchronizing the user's EMG information and motion information. It is detected while matching with The controller 320 transmits the detected EMG information and motion information to the service providing server 120 through the wireless communication unit 340 . In this case, the control unit 320 may map the identification information of the corresponding user to the EMG information and the motion information and transmit it to the wireless communication unit 340 . The corresponding user information may be input by the user before the wireless medical device 110 is worn.

On the other hand, when the control unit 320 operates the wireless medical device 110 in the low power mode, the control unit 320 receives the EMG sensor 305, the motion detection sensor 310, and the wireless communication unit 340 from the battery 350. The power consumption of the wireless medical device 110 is minimized by cutting off the power supply to the device.

In an embodiment, the controller 320 may determine that the wireless medical device 110 is worn on the human body when the temperature sensed by the body wear detection unit 330 is equal to or greater than a reference value or blood flow is greater than or equal to the reference value.

As described above, according to the present invention, the wireless medical device 110 that can be jointly used by a plurality of users can be automatically operated in a low power mode depending on whether the body is worn or not, thereby reducing power consumption of the wireless medical device 110 . can be minimized.

In addition, according to the present invention, in order to minimize power consumption of the wireless medical device 110 , the user does not need to separately turn on and off the wireless medical device 110 , so not only the user's convenience is improved, but also to minimize the power consumption of the wireless medical device 110 . Since there is no need to turn off the device 110 , it is possible to prevent the wireless medical device 110 from being damaged due to frequent on-off operations.

Referring back to FIG. 3 , the human body wear detection unit 330 detects whether the wireless medical device 110 is worn on the human body. In an embodiment, the body wear detection unit 330 may include a temperature sensor 332 . According to this example, the body wear detection unit 330 transmits the temperature information obtained through the temperature sensor 332 to the control unit 320 . As another example, the body wear detection unit 330 may include a blood flow sensor 334 . According to this example, the human body wear detection unit 330 transmits blood flow information obtained through the blood flow sensor 334 to the controller 320 .

In this case, the human body wear detection unit 330 operates by power supplied from the battery 350 , and the amount of power consumed by the human body wear detection unit 330 is very small. Therefore, the wireless medical device 110 according to the present invention ensures that power from the battery 350 is normally supplied to the body wear detection unit 330 even when the wireless medical device 110 is operated in a low power mode, thereby determining whether the wireless medical device 110 is worn on the human body. Whether or not the human body wear detection unit 330 can be checked at all times.

In the above-described embodiment, the body wear detection unit 330 transmits the temperature information obtained through the temperature sensor 332 or the blood flow information obtained through the blood flow sensor 334 to the control unit 320. In a modified embodiment, the body wear detection unit 330 directly determines whether the wireless medical device 110 is worn on the human body based on the obtained temperature information or blood flow information, and transmits the determination result to the controller 320 . it might be

When the wireless communication unit 340 receives EMG information and motion information from the control unit 320 , the wireless communication unit 340 transmits the EMG information and motion information together with the user's identification information to the service providing server 120 . In this case, the user's identification information may be received in advance through the user terminal 130 or may be previously stored in the wireless medical apparatus 110 by the controller 320 . In an embodiment, the wireless communication unit 340 may transmit EMG information and motion information through a wireless communication network. To this end, the wireless communication unit 340 is Bluetooth (Bluetooth), WiFi (IEEE 802.11b High Rate), WLAN (Wireless LAN), UWB (Ultra Wide Band), IrDA (Infrared Data Association), HPNA (Home Phoneline Networking Alliance) , SWAP (Shared Wireless Access Protocol), may be implemented as a short-distance communication module such as IEEE1394, or may be implemented as a 4th or 5th generation mobile communication module.

The battery 350 supplies power to the wireless medical device 110 . In one embodiment, the battery 350 may be implemented as a rechargeable secondary battery.

When the wireless medical device 110 operates in the normal mode, the battery 350 according to the present invention is operated by the EMG sensor 305 , the motion sensor 310 , and the wireless communication unit 340 under the control of the controller 320 . Power is supplied, but when the wireless medical device 110 operates in the low power mode, the power is cut off to the EMG sensor 305 , the motion sensor 310 , and the wireless communication unit 340 under the control of the controller 320 . It enables the power consumption of the wireless medical device 110 to be minimized.

Referring back to FIG. 1 , the service providing server 120 analyzes the health status of the corresponding user based on the EMG information and motion information received from the wireless medical device 110 . Specifically, the service providing server 120 may predict whether each user has dementia based on EMG information and motion information.

In particular, the service providing server 120 according to the present invention predicts whether the user has dementia by inputting EMG information and motion information obtained from the wireless medical device 110 to the AI algorithm, and then returns the predicted result to the user or the user. may be provided to the caregiver of

In one embodiment, the service providing server 120 additionally uses the brain blood flow information or EEG information obtained from the user through another medical device (not shown) in addition to the EMG information and the motion information obtained from the user, Dementia can also be predicted.

Hereinafter, the configuration of the service providing server 120 according to the present invention will be described in more detail with reference to FIG. 4 .

4 is a block diagram schematically showing the configuration of a service providing server according to an embodiment of the present invention. As shown in FIG. 4 , the service providing server 120 according to an embodiment of the present invention includes an interface unit 410 , a dementia risk group determination unit 420 , a dementia risk group determination model 430 , and a dementia prediction unit 440 . ), and a database 450 .

The interface unit 410 mediates data transmission/reception between the service providing server 120 and the wireless medical device 110 . Specifically, the interface unit 410 receives EMG information and motion information from the wireless medical device 110 . In this case, the EMG information and the motion information are matched with the user identification information. Also, the interface unit 410 may receive brain blood flow information or EEG information from another medical device (not shown). The interface unit 410 provides EMG information, motion information, cerebral blood flow information, and EEG information to the dementia risk group determination model 430 .

Also, the interface unit 410 may mediate data transmission/reception between the service providing server 120 and the user terminal 130 . Specifically, the interface unit 410 may transmit a request to start the dementia questionnaire service to the user terminal 130 , and receive a question and answer result from the user terminal 130 .

The dementia risk group determination unit 420 determines whether the user belongs to the dementia risk group by inputting the electromyography information and motion information received through the interface unit 410 into the dementia risk group determination model 430 . In an embodiment, the dementia risk group determination unit 420 may more accurately determine whether the user belongs to the dementia risk group by additionally inputting cerebral blood flow information or EEG information into the dementia risk group determination model 430 .

The dementia risk group determination model 430 used for predicting the dementia risk group may be implemented as a deep learning-based neural network model. Specifically, the dementia risk group determination model 430 is pre-learned using a plurality of data sets consisting of EMG information for learning, movement information for learning, and dementia determination data, so that the EMG information and movement information received through the interface unit 410 is Upon input, it is possible to estimate whether the user belongs to a dementia risk group based on the input EMG information and motion information, and output it as a probability value (hereinafter referred to as 'dementia probability).

In an embodiment, the dementia risk group determination model 430 may be implemented as a Convolution Neural Network (CNN). In this case, the dementia risk group determination model 430 calculates a convolution by a filter traversing root degree information and motion information, and a feature vector or a feature map using the calculation result. It may include a plurality of convolutional layers (not shown) to be extracted. In this case, the output data type of each convolutional layer may be changed according to the filter size, the stride, whether padding is applied, and the max pooling size. Meanwhile, the dementia risk group determination model 430 may further include a pooling layer (not shown) that receives the output data of the convolutional layer as an input and emphasizes or reduces the size of specific data.

In another embodiment, the dementia risk group determination model 430 is based on a generative adversarial network (GAN)-based deep learning model learned using a plurality of learning data sets from EMG information and motion information. probabilities can be calculated. The generative adversarial network can improve each other's ability through adversarial competition between the generator and the discriminator, that is, the generator's ability to generate a dementia prediction signal as close as possible to the actual dementia signal, and the discriminant can It is possible to improve the ability to distinguish the dementia prediction signal generated by the father from the actual dementia signal.

Through this confrontational competition, the generator and the discriminator develop the ability to deceive and discriminate, respectively, and as a result, it is difficult to distinguish between the dementia prediction signal and the actual dementia signal.

The dementia risk group determination model 430 provides the dementia probability to the dementia risk group determination unit 420, and the dementia risk group determination unit 420 determines that the user is included in the dementia risk group when the dementia probability is greater than or equal to a predetermined threshold, The result is transmitted to the dementia prediction unit 440 .

When it is determined that a specific user is included in the dementia risk group by the dementia risk group determination unit 420 , the dementia prediction unit 440 sends the user to the user terminal 130 of the corresponding user to more accurately predict whether the user has dementia. Request the start of the dementia question-and-answer service for To this end, the dementia prediction unit 440 obtains information of the user terminal 130 mapped to the information of the user from the database 450, and based on the information of the user terminal 130, the user terminal 130 to request the start of the dementia question-and-answer service.

At this time, in order for the user terminal 130 to perform the dementia question-and-answer service, the request for starting the dementia question-and-answer service includes information indicating the start of the dementia question-and-answer service and an execution command of the dementia determination application capable of providing the dementia question-and-answer service. can In addition, the dementia question answering service start request may include link information for downloading the dementia determination application 132 when the dementia determination application is not installed in the user terminal 130 .

In an embodiment, the dementia prediction unit 440 may transmit a question list for determining dementia of the corresponding user when requesting the start of the dementia questionnaire service.

Thereafter, when the dementia prediction unit 440 receives a question-and-answer result of the dementia question-and-answer service performed for the user from the user terminal 130 , the dementia determination table stored in the database 450 is used to determine the dementia of the user. predict whether

For example, the Q&A result includes a question for determining dementia and whether the question is answered correctly, and the dementia determination table maps and records the score to be given when the correct answer to the question is answered for each question for dementia determination. The prediction unit 440 may predict that the corresponding user has dementia when the result of adding up the scores given to the questions for which the corresponding user answers the correct answer is less than the reference value.

As described above, according to the present invention, the service providing server 120 primarily determines whether the user is included in the dementia risk group through the dementia risk group determination unit 420, and when it is determined that the user is included in the dementia risk group , since the dementia question-and-answer service is performed to the corresponding user and whether the user has dementia based on the question-and-answer result is secondarily predicted, the dementia prediction is performed in two steps, thereby improving the accuracy of dementia prediction.

In the database 450, the user's identification information for each user is the user's terminal identification information, the user's EMG information, motion information, cerebral blood flow information, EEG information, the user's dementia probability, and the user's dementia Prediction results may be stored.

In an embodiment, each user's guardian information and the user's primary care physician information may be additionally mapped to the corresponding user's identification information and stored in the database 450 . In this case, the guardian information may include identification information of the guardian and terminal information of the guardian, and the attending physician information may include identification information of the primary care physician and terminal information of the primary care physician.

In addition, the database 450 may store a list of questions for determining dementia and a table for determining dementia.

Meanwhile, the service providing server 120 according to the present invention may further include a dementia notification unit 460 . When a specific user is predicted to have dementia by the dementia prediction unit 440 , the dementia notification unit 460 acquires the user's guardian information or the user's primary care physician information from the database 450 , thereby obtaining the corresponding user's guardian or primary care physician. Dementia prediction results for the corresponding user can be transmitted to the user.

As described above, according to the present invention, the service providing server 120 further includes a dementia notification unit 460 so that when a specific user is predicted to have dementia, the prediction result can be transmitted to the guardian or the attending physician of the corresponding user. It can provide immediate treatment to the user.

Referring back to FIG. 1 , the user terminal 130 determines that the user belongs to the dementia risk group by the service providing server 120 and receives a request to start the dementia questionnaire service from the service providing server 120 , A question-and-answer result is obtained by providing a question-and-answer service, and the obtained question-and-answer result is transmitted to the service providing server 120 .

To this end, the dementia determination application 132 may be pre-installed in the user terminal 130 . Specifically, when the request for starting the dementia questionnaire service is received from the service providing server 120 , the user terminal 130 provides information indicating the start of the dementia questionnaire to the user and, at the same time, a dementia determination application execution command included in the request for starting the dementia questionnaire service Executes the dementia judgment application 132 according to the.

In another embodiment, when the dementia determination application 132 is not installed in the user terminal 130, the user terminal 130 determines the dementia by the user using information on the link included in the dementia questionnaire service start request. A guide may be provided so that the application 132 can be downloaded.

When the dementia determination application 132 is executed according to the dementia determination application execution command, the dementia determination application 132 is a question list transmitted from the service providing server 120 or a question list stored in the dementia determination application 132 . Answers to each question are obtained from the user by providing them to the user.

In an embodiment, the dementia determination application 132 may output the questions of the question list as audio through a speaker or as an image through a screen. When the dementia determination application 132 outputs a question by voice through a speaker or outputs a question as an image through the screen, the dementia determination application 132 responds to the questions with a microphone, a mouse, or a stylus pen. It can be received by using an input tool or by a touch input by a finger.

In the above-described embodiment, it has been described that the question list for dementia determination is included in the dementia determination application 132 or included in the dementia questionnaire service start request, but in another embodiment, the question list is included in the dementia determination application 132 ) can also be created directly.

In an embodiment, the dementia determination application 132 searches the contact information and recent call list stored in the user terminal 130, and based on the information on the person with the highest call frequency, questions and answers for dementia determination or, by inquiring contact information and conversation list on SNS installed in the user terminal 130, a question and correct answer for dementia judgment can be generated based on the information on the person with the highest conversation frequency.

As another example, the dementia determination application 132 based on the location information stored in the user terminal 130 based on the information on the area the user most recently visited or information on the area the user has the highest frequency of visit. It is possible to generate questions and answers for dementia diagnosis.

As another example, the dementia determination application 132 may generate a question and correct answer for dementia determination based on information on the application with the highest frequency of use among applications installed in the user terminal 130 .

As described above, according to the present invention, since the user terminal 130 can directly generate a question list for the dementia questionnaire service using the dementia determination application 132 installed in the user terminal 130, it is optimized for each user. Since it is possible to generate a question and its answer, it is possible to improve the accuracy of dementia judgment compared to a dementia question-and-answer service based on a uniform question and answer.

According to this embodiment, the user terminal 130 includes the question generated by the dementia determination application 132 and the correct answer to the question and answer result and transmits it to the service providing server 120, thereby providing the service server 120 to obtain a score corresponding to the corresponding question from the database 540 .

In the above-described embodiment, the user terminal 130 may be implemented as a wearable device or artificial intelligence speaker in a form that the user can wear such as a watch, as well as a smart phone, a mobile phone, and a tablet PC. have.

Those skilled in the art to which the present invention pertains will understand that the above-described present invention may be embodied in other specific forms without changing the technical spirit or essential characteristics thereof.

Also, configurations described herein may be implemented, at least in part, using one or more computer programs or components. These components may be configured as a series of series via any conventional computer-readable medium or machine-readable medium including volatile and non-volatile memory such as RAM, ROM, flash memory, magnetic or optical disks, optical memory, or other storage media. They may be provided as computer instructions. The instructions may be provided as software or firmware, and may be implemented, in whole or in part, in a hardware configuration such as ASICs, FPGAs, DSPs, or any other similar device. The instructions may be configured to be executed by one or more processors or other hardware components, which when executing the series of computer instructions perform all or part of the methods and procedures disclosed herein or make it possible to perform

Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: health care service providing system 110: wireless medical device
120: service providing server 130: user terminal
132: dementia judgment application 300: biometric information acquisition unit
305: electromyography sensor 310: motion detection sensor
320: control unit 330: human body wear detection unit
340: wireless communication unit 350: battery

Claims (6)

a wireless medical device that is worn on a user's body, operates in any one of a low power mode and a normal mode, and obtains biometric information including EMG information and motion information of the user when operating in the normal mode;
Dementia probability obtained by receiving the biometric information from the wireless medical device, and inputting the biometric information into a dementia risk group determination model implemented as a deep learning-based neural network model, and dementia question answering service for the user a service providing server for predicting whether or not the user has dementia based on the result of the question and answer obtained through; and
and a dementia determination application installed in the user's user terminal to provide the dementia question-and-answer service to the user, and to provide the question-and-answer result generated as a result of providing the dementia question-and-answer service to the service providing server,
The wireless medical device,
a human body wear detection unit for detecting whether the wireless medical device is worn on the user's body;
a controller for operating the wireless medical device in one of the normal mode and the low power mode according to whether the wireless medical device is worn on the human body;
a biometric information acquisition unit activated when the wireless medical device operates in the normal mode to acquire the biometric information;
a wireless communication unit that is activated when the wireless medical device operates in the normal mode and transmits the biometric information to a service providing server; and
When the wireless medical device operates in the normal mode, power is supplied to the biometric information acquisition unit and the wireless communication unit, and when the wireless medical device operates in the low power mode, power is supplied to the biometric information acquisition unit and the wireless communication unit A health care service providing system including an IoT-based low-power mode support body-mountable wireless medical device, characterized in that it includes a battery to block. According to claim 1,
The service providing server,
the dementia risk group determination model, which is previously learned using a plurality of data sets composed of EMG information for learning, movement information for learning, and dementia determination data;
a dementia risk group determining unit that inputs the EMG information and motion information into the dementia risk group determination model, and determines that the user is included in the dementia risk group if the dementia probability calculated by the dementia risk group determination model is greater than or equal to a predetermined threshold;
When it is determined that the user is included in the dementia risk group, a dementia question and answer service including an execution command of the dementia determination application, link information for downloading the dementia determination application, and a question list for the dementia question and answer service is started IoT-based, characterized in that it includes a dementia prediction unit that generates a request and transmits it to the user terminal, and predicts whether the user has dementia by using the Q&A result received from the user terminal and a dementia determination table stored in a database A health care service providing system including a body-worn type wireless medical device supporting low power mode. According to claim 1,
The dementia determination application, the contact information and recent call list stored in the user terminal, the contact information and conversation list on the SNS installed in the user terminal, the user's recent visit obtained from the location information of the user terminal Generating a question and a correct answer for the dementia questionnaire service based on at least one of local information or visit area information whose frequency is equal to or greater than the reference value, and information on applications installed in the user terminal with a frequency greater than or equal to the reference value among applications installed in the user terminal A health care service providing system including an IoT-based low-power mode support body-mountable wireless medical device. According to claim 1,
The biometric information acquisition unit,
an EMG sensor for obtaining EMG information from the user using a plurality of electrodes in contact with the user's body; and
A health care service providing system including an IoT-based low-power mode support body-mountable wireless medical device, characterized in that it includes a motion detection sensor that acquires motion information of a region from which the EMG information is obtained by the EMG sensor. According to claim 1,
The body wear detection unit,
a temperature sensor for sensing the user's temperature; and
A health care service providing system including an IoT-based low-power mode support body-mountable wireless medical device, characterized in that it includes at least one of a blood flow sensor that detects the user's blood flow. According to claim 1,
The dementia determination application outputs the questions for the dementia questionnaire service as voice through the speaker of the user terminal or as an image through the screen of the user terminal, and answers the questions with a microphone, mouse, or stylus pen A health care service providing system including an IoT-based low-power mode support body-mountable wireless medical device, characterized in that it is received using an input tool such as a touch input or a touch input by a finger.

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