KR20220132103A - Healthcare Data Providing System and Method Using Wearable Device - Google Patents

Abstract

The present invention provides a healthcare providing system using a wearable device which provides both a patient and a medical team with convenience. According to one embodiment of the present application, the system comprises: a plurality of sensing units (10) provided in a prescribed space (30) divided into a plurality of areas; a measurement device (20) having an acceleration sensor (21a) and/or a gyroscope sensor (21b) to respond to the movement of the acceleration sensor (21a) and/or the gyroscope sensor (21b) and generate sensor data which are continuous data in accordance with the flow of time, and worn on a person to be measured; and a calculation device (50) calculating distance data between the plurality of sensing units (10) and the measurement device (20), calculating location data of the measurement device (20) in the prescribed space (30) based on the calculated distance data, calculating one area among the plurality of areas matching the calculated distance or location data, and using the calculated location data, the sensor data, and the calculated area to calculate medical data on one or more among a plurality of predetermined healthcare areas.

Description

Healthcare Data Providing System and Method Using Wearable Device

The present application relates to a system and method for providing healthcare data using a wearable device.

In the past, personal health care services were mainly focused on health care limited to disease treatment in hospitals or medical institutions, but in recent years, as interest in quality of life and well-being has increased, Interest in preventive health care services for diseases is increasing.

However, in order to measure the health status, a visit for more than a certain time is required, and many people avoid even this.

Therefore, it is possible to obtain sensor data through a wearable device that is worn at all times and directly or indirectly estimate an individual's health state through the acquired sensor data, so that the health state can be predicted with daily life without investing much time. There is an increasing demand for it.

Japanese Laid-Open Patent Document No. 2016-080671 (2016.05.16) Japanese Laid-Open Patent Document No. 2006-081771 (2006.03.30) Korean Patent Publication No. 10-2011-0043177 (2011.04.27) Korean Patent Publication No. 10-2019-0063583 (2019.06.10) Korean Patent Document No. 10-2089002 (2020.03.09)

The present application specifies a location of a measurement device through a sensor, a signal transmitter, or a laser measuring device provided in a plurality in a predetermined space, and uses sensor data obtained from the specified location and a sensor provided in the measurement device for a plurality of healthcare It is intended to provide a system capable of acquiring medical data for an area.

In one embodiment of the present application for solving the above problems, a plurality of sensing units 10, an acceleration sensor 21a, a gyroscope sensor 21b and At least one of the geomagnetic sensors 21c is provided to generate sensor data that corresponds to the movement and is continuous data according to the passage of time, and the measurement device 20 and the plurality of sensing units 10 worn on the measurement target ) and the distance data between the measuring device 20 and calculating the position data of the measuring device 20 in the predetermined space 30 based on the calculated distance data, and calculating the calculated distance or position Any one of the plurality of areas matching data is calculated, and medical data for any one or more of a plurality of predetermined healthcare areas is calculated using the calculated location data, the sensor data, and the calculated area. It provides a system for providing healthcare data using a wearable device, including a computing device 50 to:

In an embodiment, the calculation device 50 further calculates a movement distance of the measurement device 20 over time using the location data, and the calculated movement of the measurement device 20 . The moving speed of the measuring device 20 is further calculated from the distance, and exercise management related medical data is calculated using one or more of the moving distance, the moving speed, and the sensor data, but the position data is When a predetermined vibration pattern repeatedly occurs in the sensor data while continuously changing, it is calculated as the number of movements, and the average value of the plurality of movement speeds for a predetermined period is the movement speed for a predetermined period of the previous time. When it decreases by a predetermined ratio or more from the average value, it is calculated that there is a possibility of a decrease in nerve function, a possibility of an increase in morbidity, or a possibility of an increase in the death rate. If the vibration pattern of the sensor data is compared with a predetermined normal gait vibration pattern and is lower than a predetermined degree of similarity, it is calculated as possible limping, arthritis, or Parkinson's disease. If the average of the moving distances decreases by a predetermined ratio or more than the average of the moving distances for a predetermined period at the time before that, it is calculated that there is a possibility of a decrease in activity due to depression or a possibility of worsening of the symptoms of depression. When the prior time point increases by a predetermined ratio or more than the average value of the movement distance for a predetermined period, it can be calculated as a possibility of an increase in activity due to mania or a possibility of exacerbation of a manic symptom.

In an embodiment, the computing device 50 includes sensor data corresponding to movement of the sensor data from a predetermined first height to a second height lower than the first height within a predetermined time, and the measurement If it includes sensor data corresponding to the stopping of the device 20 or the stopping of the measuring device 20 for a predetermined time after a predetermined shock is applied to the measuring device 20, there is a possibility of a fall, a possibility of a heart attack, It is calculated that there is a possibility of immobility due to loss of consciousness or a possibility of an emergency, and the oxygen saturation value sensed by the oxygen saturation detection sensor 21d is lower than the predetermined oxygen saturation value, or the measurement device 20 is set for a predetermined time. When sensor data corresponding to an abnormal stop is included, it can be calculated that there is a possibility of movement restriction due to a disease or a possibility of sudden death.

In one embodiment, the plurality of areas 30 includes at least one of a living room 31 , a bedroom 32 , a kitchen 33 , and a bathroom 34 , and the computing device 50 includes the Distance data between the measurement device 20 and the reference device 40 provided in the one area matching the calculated distance data may be further calculated using the location data.

In one embodiment, when the area matching the calculated distance data is the toilet 34, the location data is provided in the toilet 34 with the wash basin 44a or shower head 44b and the measurement device ( 20) includes position data in which the distance is shorter than a predetermined distance, and after that, the sensor data continues up, down, horizontally, or oscillating motion of the measuring device 20 at a first speed or more for a predetermined time or more in a predetermined time period In the case of including sensor data corresponding to the The distance between the devices 20 includes position data that is shorter than a predetermined distance, after which the sensor data is transmitted to the upper side of the measuring device 20 at a second speed slower than the first speed for a predetermined time or more in a predetermined time period. When it includes sensor data corresponding to repeated movement to or downward movement, the calculation device 50 calculates it as shaving data, which is personal hygiene management related medical data, and the position data is the sink 44a. ) or the distance between the shower head 44b and the measuring device 20 includes position data shorter than a predetermined distance, and after that, the sensor data includes the reciprocating motion of the measuring device 20 in multiple angles. In the case of including sensor data corresponding to A brushing time may be calculated, the number of shaves and a shaving time may be calculated using the shaving data, and the number of showers and a shower time may be calculated using the shower data.

In one embodiment, when the area matching the calculated distance data is the toilet 34 , the distance between the toilet 43 provided in the toilet 34 and the measuring device 20 is When the position data is shorter than a predetermined distance, and the sensor data thereafter includes sensor data corresponding to the vertical vibration of the measurement device 20 for a predetermined time or longer, the calculation device 50 converts it into urination or defecation. Recognize and calculate with medical data related to urination or defecation management, and the computing device 50 may further calculate the number of urinations per day, urination time, nocturia, frequency of urination, and urgency from the medical data related to urination or defecation management. .

In an embodiment, when the area matching the calculated distance data is the kitchen 33 , the distance between the refrigerator 45 provided in the kitchen 33 and the measurement device 20 in which the location data is located includes position data shorter than a predetermined distance, and the position data obtained thereafter includes position data in which a distance between the dining table 46 provided in the kitchen 33 and the measurement device 20 is shorter than a predetermined distance, When the sensor data includes sensor data corresponding to the reciprocating motion of the measuring device 20 between the dining table 46 and the mouth of the measuring object to which the measuring device 20 is mounted at a predetermined speed, the computing device (50) calculates it as intake management related medical data, and in a state where the position data in the left and right directions except for the height direction is fixed for a predetermined time or more, the sensor data is the measurement device 20 at a position above a predetermined height In the case of including sensor data corresponding to the torsional motion of the measuring device 20 backward, it is calculated as water intake data, and the distance between the measuring device 20 and the pre-stored drug storage location at a predetermined drug taking time period. includes position data shorter than a predetermined distance, and when the water intake data is calculated, it is calculated as drug intake data, and the calculation device 50, while acquiring the intake management related medical data, the sensor data is the measurement When the tremor of the device 20 includes sensor data corresponding to the duration of a predetermined time, it is calculated as possible Parkinson's disease, and the degree of worsening of the Parkinson's disease symptom is calculated using the change in the amplitude of the sensor data, , calculates whether the drug is appropriate by using the change rate of the amplitude of the sensor data, and calculates the meal time, the number of meals, the number of snack intakes, the number of water intakes, and the number of appropriate doses of the drug from the intake management related medical data can

In one embodiment, after the intake-related medical data is calculated, the location data is the location data where the distance between the measuring device 20 and the sink 47 provided in the kitchen 33 is shorter than a predetermined distance. , and thereafter, when the sensor data includes sensor data corresponding to the torsional and reciprocating motions of the measuring device 20 , the calculating device 50 may calculate it as dishwashing data.

In an embodiment, the position data includes position data for sequentially moving the plurality of regions, and the sensor data corresponds to a reciprocating linear motion of the measuring device 20 by a predetermined distance or more during the movement process. When it includes data, the calculation device 50 calculates it as cleaning data, and the location data includes location data for sequentially moving the plurality of areas, and after that, the location data is determined by the measurement device 20 ) and the washing machine 48 including location data shorter than a predetermined distance, the calculation device 50 may calculate this as laundry data.

In one embodiment, when the area matching the calculated distance data is the bedroom 32 , the distance between the bed 42 and the measurement device 20 provided in the bedroom 32 with the location data is When the sensor data includes position data shorter than a predetermined distance, and the sensor data includes sensor data corresponding to a decrease or stop of movement of the measuring device 20 for a predetermined time or more in a predetermined time period, the calculation device 50 calculates it as sleep management-related medical data, calculates the sleep time and the number of bed departures during sleep from the sleep management-related medical data, and the measurement device 20 further includes an oxygen saturation sensor 21d, The calculation device 50 may calculate whether sleep apnea is present by further using the oxygen saturation data sensed by the oxygen saturation detection sensor 21d.

In one embodiment, the measurement device 20 further includes a sound sensor 21e, and when the area matching the calculated distance data is the living room 31 or the bedroom 32, the location data is the The distance between the TV 41 and the measurement device 20 provided in the living room 31 or the bedroom 32 includes position data shorter than a predetermined distance, and the sensor data is predetermined in the sound sensor 21e. When the decibel or higher sound includes sensor data that is detected for more than a preset time, the calculation device 50 calculates it as audiovisual management related medical data, and the calculation device 50 calculates a plurality of audiovisual management related medical data Any one or more of a change in the distance between the measuring device 20 and the TV 41 and a change in decibel of sound sensed by the sound sensor 21e in any medical data other than any medical data It can be calculated as visual or hearing loss using

In an embodiment, the computing device 50 includes medical data related to normal exercise management, medical data related to normal sleep management, medical data related to normal intake management, medical data related to normal personal hygiene management, medical data related to normal audiovisual management, normal Any one or more of medical data related to urination or defecation management and medical data related to emergency management are stored in advance, and the computing device 50 includes the medical data calculated by the computing device 50 and the medical data stored in advance. , if it is lower than a predetermined similarity, it is calculated that there is a health risk factor, and when it is calculated that there is a health risk factor by the calculation device 50 , a warning signal may be output from the measurement device 20 .

In addition, the present invention is a method using the above-described system, in which distance data between the plurality of sensing units 10 and the measuring device 20 is calculated, and the predetermined space 30 based on the calculated distance data. ) in the step of calculating the location data of the measuring device 20, calculating any one of the plurality of areas matching the calculated distance or location data, in the movement of the measuring device 20 A step in which sensor data is generated by the sensor data and medical data for any one or more of a plurality of predetermined healthcare areas from the sensor data using one or more of the distance data, the location data, the calculated area, and the sensor data. It provides a method of providing healthcare data using a wearable device, comprising the step of being calculated.

In addition, the present invention provides a computer program stored in a computer-readable recording medium for executing the above-described method.

The present application as described above has the following effects.

First, it provides convenience to both patients and medical staff because it is possible to acquire various health-related medical data just by living a daily life while wearing a measurement device without visiting a hospital.

Second, since only data related to medical data among data acquired by a sensor provided in the measurement device is calculated as valid data, reliability of medical data calculated using valid data is improved.

Third, the user can accurately know his or her medical data without being forced into excessively inconvenient or complicated procedures, thereby helping diagnose symptoms and treatment.

Fourth, from the point of view of the medical staff, the patient's daily medical data can be accurately transmitted, and various diseases can be diagnosed based on a universal standard based on the received data, so that an accurate diagnosis is possible regardless of the skill level.

Fifth, this data can also be recorded on the server of a medical institution, so that the patient can comfortably live at home and check all the data in real time at the medical institution. may be secured.

Sixth, since it is possible to determine various diseases using only the measurement device that the user always wears, it has the advantage of being able to easily check the user's health condition at low cost.

Seventh, the location of the wearable device mounted on the measurement object and sensor data (motion data, etc.) Do not excessively infringe on privacy by estimating daily activities through

1 is a diagram schematically illustrating the configuration of a system for providing healthcare data using a wearable device according to an embodiment of the present application.
2 is a diagram for explaining in more detail the configuration of a system for providing healthcare data using a wearable device according to an embodiment of the present application.
FIG. 3 is a block diagram illustrating the configuration of FIG. 2 .
4 is a view for explaining medical data that can be calculated in each predetermined space in the system according to an embodiment of the present application.
5 to 12 are diagrams for explaining valid data, usage data, data patterns, etc. used to calculate medical data in a system according to an embodiment of the present application.
13 is a flowchart illustrating a method according to an embodiment of the present application.

Hereinafter, the present application will be described in detail with reference to the accompanying drawings.

It should be noted that "system" herein means an object built in accordance with the present application, not a method.

Hereinafter, the term "height direction" means a direction closer to or away from the ground, and "left and right direction" means a direction parallel to the ground.

A system for providing healthcare data using a wearable device according to an embodiment of the present application will be described in detail with reference to FIGS. 1 to 3 .

1 is a diagram schematically illustrating the configuration of a healthcare data providing system using a wearable device according to an embodiment of the present application, and FIG. 2 is a configuration of a healthcare providing system using a wearable device according to an embodiment of the present application. It is a diagram for explaining in detail, and FIG. 3 is a block diagram for explaining the configuration of FIG. 2 .

Referring to FIG. 3 , a system for providing health care data using a wearable device according to an embodiment of the present application includes a plurality of sensing units 10; 10a, 10b, 10c, 10d, 10e, 10f, 10g, 10h), a measurement device ( 20 ), a plurality of reference devices 41 , 42 , 43 , 44 , 45 , 46 , a computing device 50 and a medical institution server 60 .

The plurality of sensing units 10 are portions provided in plurality in the predetermined space 30 . Specifically, it may be installed on a wall, ceiling, or floor in the predetermined space 30 . The predetermined space 30 may be a house or a workplace where daily life takes place the most, but any space may be applied as long as it has a space in which a plurality of sensing units 10 can be installed and is not limited to the enumerated examples.

In addition, the above-described sensing unit 10 not only senses a signal generated by the measuring device 20, but also generates a signal and a sensor provided in the measuring device 20 may sense it, and a laser range finder type It is possible to measure the distance between the measuring device 20 and the sensing unit 10 by being provided with.

Also, the predetermined space 30 may be divided into a plurality of regions 31 , 32 , 33 , 34 , 35 , 36 , and 37 .

The plurality of regions 31 , 32 , 33 , 34 , 35 , 36 , and 37 may be partitioned by a door in the predetermined space 30 or may be separated for convenience. Referring to FIG. 2 as an example, the living room 31 ), a bedroom 32 , a kitchen 33 , a bathroom 34 , a dressing room 35 , a study 36 , a veranda 37 , and the like may be included therein. However, it should be understood that this is only an example and that a plurality of other regions may be further present according to convenience.

It is preferable that at least three of the plurality of sensing units 10 are provided. Position data of the measuring device 20 is calculated through distance data between the plurality of sensing units 10 and the measuring device 20 to be described later, and the position data is the measuring device 20 in the predetermined space 30 . ) may mean a point where the wearer is located, that is, three-dimensional coordinates in a predetermined space 30 . As an example, position data of the measuring device 20 may be calculated through triangulation, and for this purpose, three or more sensing units 10 are preferably provided. However, the present invention is not limited thereto, and it is possible to provide four or more.

The measurement device 20 is a device carried or mounted by a user, and for example, a watch-type device mounted on a wrist may be applied.

The measurement device 20 may include a sensor unit 21 , a communication module 22 , a warning module 23 , and a memory 24 .

The sensor unit 21 is installed in the measurement device 20 to generate sensor data corresponding to the movement of the measurement device 20 (acceleration sensor, gyroscope sensor, geomagnetic sensor), or detect oxygen saturation of a mounted part Or (oxygen saturation sensor), it is the part that detects external sound (sound sensor). The data generated by the sensor unit 21 is in the form of continuous data according to the passage of time, and only valid data calculated by the valid data calculation module 53 to be described later according to a predetermined criterion is selected, such data is medical data. can be used for the calculation of

The communication module 22 is a part that enables data such as sensor data, oxygen saturation data, and sound data generated by the sensor unit 21 to be transmitted through wired/wireless communication with an external communication device.

When it is determined that the medical data calculated by the calculation device 50 to be described later has a health risk factor, the warning module 23 notifies the user of the measurement device 20 with a danger signal through an alarm or light emission.

The memory 24 stores sensor data, oxygen saturation detection data, and sound data generated by the sensor unit 21 , in addition to the operation frequency of the warning module 23 , position data calculated by the calculation device 50 , and medical This is the part where data is stored.

The reference devices 40 ; 41 , 42 , 43 , 44 , 45 , and 46 are provided in the predetermined space 30 , and may correspond to home appliances or furniture. 2 as an example, a TV 41, a bed 42, a toilet 43, a sink 44a, a shower head 44b, a refrigerator 45, a dining table 46, a sink 47, a washing machine 48 ) may be included. However, it should be understood that this is only an example, and other reference devices may exist according to convenience.

The calculation device 50 calculates the data obtained from the measurement device 20 , distance data between the plurality of sensing units 10 and the measurement device 20 , and the like to calculate medical data for a plurality of healthcare areas. to be.

The computing device 50 may be a computing device equipped with a microprocessor with computing capability, which may be provided separately from the measurement device 20 as shown in FIG. 3 , but may be integrated with the measurement device 20 . may be provided. When provided integrally, data acquisition and calculation of distance data, location data, medical data, etc. can all be performed by the measurement device 20 .

The computing device 50 includes a distance data operation module 51 , a position data operation module 52 , a valid data operation module 53 , a medical data operation module 54 , a communication module 55 and a memory 56 . can do.

In the memory 56 of the arithmetic device 50 , the structure diagram of the predetermined space 30 , the installation positions of the plurality of sensing units 10 provided in the predetermined space 30 , and the installation positions of the reference device 40 are mapped and stored in advance. It is possible to calculate the position data and the position area in the predetermined space 30 of the measuring device 20 using the data stored in advance.

The distance data calculation module 51 is a part that calculates distance data between the plurality of sensing units 10 and the measuring device 20 .

2 as an example, since there are eight sensing units 10a, 10b, 10c, 10d, 10e, 10f, 10g, and 10h, eight different distance data can be calculated.

The position data calculation module 52 is a part that calculates position data of the measurement device 20 in the predetermined space 30 using a plurality of distance data calculated by the distance data calculation module 51 . When three or more distance data are obtained, it is possible to calculate the position data of the measuring device 20, and the position data calculated by the position data calculation module 52 is converted into two-dimensional coordinates, preferably three-dimensional coordinates. can be expressed

Also, the position data calculation module 52 may further calculate a moving distance and a moving speed of the measuring device 20 by using the calculated position data. Calculating the moving distance and moving speed from location data according to the passage of time is a well-known technique in the prior art, so a detailed description thereof will be omitted.

The effective data calculation module 53 calculates the data (sensor data, oxygen saturation data, sound data) generated by the sensor unit 21 of the measuring device 20 and the position data calculated by the position data calculation module 52 . It is a part that calculates valid data using Since the data generated by the sensor unit 21 and the calculated position data of the measurement device 20 are continuous data according to the passage of time, it is necessary to filter valid data required for medical data calculation therefrom. The valid data calculation module 53 calculates the valid data according to a predetermined standard by using the data generated by the sensor unit 21 and the calculated position data of the measuring device 20 .

The medical data calculation module 54 uses the valid data calculated by the valid data calculation module 53 , the sensor data generated in the sensor unit 21 , and the position data calculated by the position data calculation module 52 to provide medical care. This is the part that computes data. This will be described later.

Hereinafter, the valid data calculation criteria of the valid data calculation module 53 will be described in detail with reference to FIGS. 5 to 12 .

Valid data may include, according to its characteristics, effective data related to exercise management, valid data related to emergency management, valid data related to sleep management, valid data related to intake management, valid data related to personal hygiene management, valid data related to daily life hygiene management, and effective data related to audiovisual management Valid data and valid data related to urination / defecation management may be included therein.

The exercise management-related valid data means data that can be obtained by the action of the measurement target such as the user's gait, and the movement distance and movement speed calculated by the location data calculation module 52, and the acceleration sensor ( 21a), using the vibration pattern of sensor data obtained from the gyroscope sensor 21b and the geomagnetic sensor 21c, effective data related to exercise management is calculated. Since the exercise can be made anywhere in the predetermined space 30 , it can be calculated as valid exercise management related data when the following criteria are satisfied regardless of the location in any area of the measurement device 20 .

When a user wearing the measuring device 20 sits on a chair or the like or sleeps on a bed, the moving distance and moving speed of the measuring device 20 and the vibration pattern of sensor data will be calculated or measured only with minute numbers.

Since the exercise management-related valid data means data that can be obtained from actions such as the gait of the measurement target, when the movement distance calculated by the location data calculation module 52 is greater than or equal to a predetermined distance, preferably the movement distance is Data at a distance of 10m or more can be calculated as valid data related to exercise management.

The medical data calculation module 54 continuously changes the position data of the measuring device 20 over time (meaning that the three-dimensional coordinate value of the position data is changed), and at the same time, a predetermined vibration pattern in the sensor data. If this occurs repeatedly, it can be calculated as the number of exercises. When viewed from the standpoint of a measurement target on which the measurement device 20 is mounted, it means moving within the predetermined space 30 with a constant movement, so it is possible to calculate this as the number of exercises.

The medical data calculation module 54 may calculate the exercise management related medical data by using the exercise management related valid data. When it decreases by a predetermined ratio or more than the average value of , it can be calculated as a possibility of a decrease in nerve function, a possibility of an increase in body morbidity, or a possibility of an increase in mortality.

In addition, when the normal gait vibration pattern stored in the memory 56 is compared with the vibration pattern of the sensor data and the result is lower than a predetermined similarity, it is possible to calculate that there is a possibility of arthritis or a possibility of Parkinson's disease. As one of the typical symptoms of arthritis and Parkinson's disease, walking with a limp can be expressed, and when compared with a normal gait pattern, it may show a low similarity, and in this case, it is calculated as the possibility of arthritis or Parkinson's disease.

In addition, when the average value of the moving distances during the predetermined period is lower than the average value of the predetermined moving distances, this may be calculated as lack of exercise.

In addition, when the average value of the moving distance for a predetermined period decreases by a predetermined ratio or more than the average value of the movement distance for a predetermined period at the time before that, specifically, when it decreases by 50% or more, there is a possibility of decreased activity due to depression or aggravation of the symptoms of depression It can be calculated with

In addition, when the average value of the moving distance for a predetermined period increases by a predetermined ratio or more than the average value of the movement distance for a predetermined period at the time before that, specifically, when it increases by 50% or more, there is a possibility of an increase in activity due to mania or aggravation of manic symptoms It can be calculated with

Valid data related to emergency management means data related to emergency situations such as loss of consciousness/fall of the user of the measurement device 20 , and death of loneliness. Valid data related to an emergency is calculated using the location data calculated by the location data calculation module 52 and the sensor data acquired by the sensor unit 21 .

More specifically, in the case of loss of consciousness/fall, considering that it can be made anywhere in the predetermined space 30 , and death of loneliness is generally highly likely to occur during sleep in the bedroom 32 , in the case of loss of consciousness/fall Regardless of the area in which the measuring device 20 is located, it can be calculated as valid data related to emergency situations, and the case where the measuring device 20 is located at a certain place without movement for a certain period of time or more is used as effective data related to emergency management can be calculated.

In addition, in the case of loss of consciousness/fall, since the height of the measuring device 20 abruptly changes from a predetermined first height to a second height lower than the first height, if the sensor data includes such height change data, it is an emergency situation. It can be calculated with relevant valid data, and in case of lonely death, when sensor data corresponding to the movement of the measurement device 20 is not obtained for a predetermined time or more, it can be calculated as effective data related to emergency management.

The medical data calculation module 54 may calculate medical data related to emergency management by using the effective data related to emergency management. Within a predetermined time, preferably within 1 second, the measuring device 20 moves from a predetermined first height , If it includes sensor data corresponding to moving to a second height lower than the first height, and then includes sensor data corresponding to stopping the measurement device 20 for a predetermined time period, there is a possibility of a fall, a possibility of a heart attack , it can be calculated as the possibility of immobility due to loss of consciousness or the possibility of an emergency.

In addition, when sensor data corresponding to the movement of the measurement device 20 is not obtained for a predetermined time or longer, preferably for 10 hours or longer, it can be calculated as a possibility of movement limitation due to disease, a possibility of lonely death, or a possibility of sudden death. have.

In addition, even when the oxygen saturation value sensed by the oxygen saturation detection sensor 21d is lower than the predetermined oxygen saturation value, it may be calculated as the possibility of death or sudden death.

Valid data related to sleep management means data that can be obtained from the user's sleep, and generally, sleep is the location data calculated by the location data calculation module 52 because it is highly likely to occur in the bedroom 32 . The data obtained when ' corresponds to the bedroom 32 may be calculated as valid data related to sleep management.

In addition, since the location of the measuring device 20 is the bedroom 32, there is a possibility of not sleeping and performing other daily life. It can be calculated with valid data related to sleep management.

The medical data calculation module 54 may calculate sleep management related medical data by using the sleep management related valid data.

More specifically, when the sensor data corresponding to the movement of the measuring device 20 is not acquired within a predetermined time, preferably in the time zone between 21:00 and 9:00, for 2 hours or more, the time for which the sensor data is not acquired sleeps time can be calculated.

In addition, if the oxygen saturation data sensed by the oxygen saturation sensor 21d during the calculated sleep time is lower than the normal oxygen saturation data by a predetermined value or more, it can be calculated as the possibility of sleep apnea, and detected by the sound sensor 21e If the sound data to be generated continues for more than a predetermined decibel, this can also be calculated as the possibility of sleep apnea.

In addition, when sensor data corresponding to the movement of the measuring device 20 by a predetermined distance or more is obtained a predetermined number of times or more, preferably 3 times or more, during the calculated sleep time, it can be calculated as the possibility of insomnia.

The effective data related to intake management is data related to the user's food intake of the measurement device 20 , and considering that food intake is generally performed in the kitchen 33 equipped with the dining table 46 , the location data calculation module A case where the position data calculated by (52) is the kitchen 33 can be calculated as effective data related to intake management.

More specifically, the location data calculated by the location data calculation module 52 is location data in which the distance between the refrigerator 45 provided in the kitchen 33 and the measurement device 20 is shorter than a predetermined distance, and the calculation thereafter When the location data is location data in which the distance between the dining table 46 and the measuring device 20 provided in the kitchen 33 is shorter than a predetermined distance, it may be calculated as effective data related to intake management. That is, after the user of the measurement device 20 comes into contact with the refrigerator 45 , position data close to the dining table 46 is calculated, and the sensor data is measured by the measurement device 20 with the dining table 46 at a predetermined speed. When the device 20 includes sensor data corresponding to the reciprocating motion between the mouths of the measurement target mounted, it is considered that food is highly likely to be consumed, and this is calculated as effective data related to food intake management.

In addition, while the position data includes position data that does not change for a predetermined time or more, at the same time, the sensor data is a sensor corresponding to a torsional movement toward the rear in a state in which the measurement device 20 is located at a predetermined height or more (head height or more) from the ground. If data is included, it can be calculated as valid data related to water intake management.

In addition, the distance between the measurement device 20 and the pre-stored drug storage location at a predetermined drug taking time (for example, 30 minutes before a meal, 30 minutes after a meal, etc.) includes position data that is shorter than a predetermined distance, the When effective data related to water intake management is calculated, it may be calculated as effective data related to drug intake management.

The medical data calculation module 54 may calculate intake management-related medical data by using the effective intake management-related data.

More specifically, the number of times the food intake management effective data is obtained at a specific time, preferably between 7:00 and 9:00, between 12:00 and 14:00, and between 18:00 and 20:00, is calculated as the number of meals. In addition, the number of times the food intake management effective data is acquired at a time other than the above time may be calculated as the number of snack intakes.

In addition, the number of times the effective data related to water intake is obtained may be calculated as the number of water intakes, and the appropriate number of doses of the drug may be calculated according to whether the effective data related to the management of the drug is calculated within a predetermined drug taking time.

In addition, the medical data calculation module 54 may further calculate the possibility of diabetes, the possibility of obesity, etc. according to a predetermined criterion by using the calculated number of meals and the number of snack intakes.

In addition, when the sensor data generated by the sensor unit 21 during ingestion includes sensor data corresponding to the tremor of the measuring device 20 for a predetermined time or longer, it may be calculated as the possibility of Parkinson's disease. Here, the tremor movement may mean a movement in which the measuring device 20 vibrates with a predetermined amplitude due to hand tremor, which is a symptom of hand tremor.

In addition, when the sensor data includes sensor data corresponding to the trembling movement of the measurement device 20 for a predetermined time or more, the degree of exacerbation of the Parkinson's disease symptom is calculated (ie, any Calculate the difference between the amplitude of the sensor data acquired at the time point and the amplitude of the sensor data acquired at the previous time point) It can be calculated that the symptoms of Parkinson's disease have improved.

In addition, by using the rate of change of the amplitude of the sensor data, it is possible to further calculate whether the drug is titrated (that is, calculate the ratio of the amplitude of the sensor data obtained at an arbitrary time point to the amplitude of the sensor data obtained at the previous time point) In addition, when the amplitude decreases, it can be calculated that the drug administered to the user is appropriate, and when the amplitude increases, it can be calculated that the drug administered to the user is not appropriate.

The valid data related to personal hygiene management is data related to personal hygiene (tooth, shaving, and showering) of the user of the measurement device 20 , and considering that brushing, shaving, and showering are generally performed in the bathroom 34 , location data A case where the location data calculated by the calculation module 52 is the toilet 34 may be calculated as effective data related to personal hygiene management.

More specifically, the position data calculated by the position data calculation module 52 is position data in which the distance between the washbasin 44 provided in the toilet 34 and the measurement device 20 is shorter than a predetermined distance, and the sensor data is When the vertical, horizontal, or oscillating motion of the measuring device 20 includes sensor data lasting more than a predetermined time (specifically, 3 minutes to 5 minutes) at a first speed or more, it is converted to toothbrushing data, which is effective data related to personal hygiene management. can be calculated.

In addition, the position data calculated by the position data calculation module 52 is position data in which the distance between the washbasin 44 provided in the toilet 34 and the measurement device 20 is shorter than a predetermined distance, and the sensor data thereafter If it includes sensor data corresponding to repeated upward movement or downward movement at a second speed slower than the first speed of the measuring device 20, it is calculated as shaving data, which is valid data related to personal hygiene management. can

In addition, the location data calculated by the location data calculation module 52 is location data in which the distance between the washbasin 44a or shower head 44b provided in the toilet 34 and the measurement device 20 is shorter than a predetermined distance, , when the sensor data thereafter includes sensor data corresponding to the continuous reciprocating motion of the measuring device 20 to a plurality of angles (eg, various angles within a range of 360 degrees), it is used as personal hygiene management-related valid data It can be calculated with in-shower data.

The medical data calculation module 54 may calculate personal hygiene management-related medical data by using the personal hygiene management-related valid data.

More specifically, the number of times the tooth brushing data is acquired at a specific time, preferably between 7 o'clock and 10 o'clock, and between 21:00 and 24 o'clock, can be calculated as the number of times of brushing, and The duration of the left and right movement or vibration movement can be calculated as brushing time. In addition, the number of times the shaving data is acquired in the time between the specific times is the number of shaving, and the time from the point when the motion related to the shaving data of the measuring device 20 is sensed to the point at which the detection ends can be calculated as the shaving time. have. In addition, the number of times the shower data is acquired in the time between the specific times is the number of showers, and the time from the time when the shower data related motion of the measurement device 20 is sensed to the time when the detection is finished can be calculated as the shower time. have.

The audiovisual management-related valid data is data related to the user's visual acuity/hearing deterioration of the measurement device 20 , and typically data related to TV viewing may correspond to this data. Considering that the TV 41 is generally located in the living room 31 or the bedroom 32 in most cases, the location data calculated by the location data calculation module 52 is the living room 31 or the bedroom 32 . case can be calculated as valid data related to audiovisual management.

More specifically, the location data calculated by the location data calculation module 52 is location data in which the distance between the TV 41 and the measurement device 20 provided in the living room 31 or bedroom 32 is shorter than a predetermined distance. And, when the sound data sensed by the sound sensor 21e is greater than or equal to a predetermined decibel, it is highly likely that the user of the measurement device 20 is watching TV, and thus, it is possible to calculate this as effective data related to audiovisual management.

The medical data calculation module 54 may calculate audiovisual management-related medical data by using the audiovisual management-related valid data.

More specifically, when the decibel average of the sound data sensed by the sound sensor 21d for a certain period is higher than the decibel average of the sound data at the previous time by a predetermined decibel, this may be calculated as a possibility of hearing loss.

In addition, when the average of the distances between the measuring device 20 and the TV 41 is shorter than the average of the distances at the previous point in time when watching TV for a certain period of time, this may be calculated as the possibility of visual deterioration.

The effective data related to urination / defecation management is data about the user's urination / defecation of the measurement device 20. Considering that urination / defecation is generally performed in the toilet 43 of the toilet 34, the location data calculation module ( 52) can be calculated as valid data related to urination / defecation when the position data calculated by the toilet 34 is.

More specifically, the position data calculated by the position data calculation module 52 is position data in which the distance between the toilet 43 provided in the toilet 34 and the measurement device 20 is shorter than a predetermined distance, and thereafter the sensor When the sensor data obtained by the unit 21 includes sensor data corresponding to the vertical vibration of the measurement device 20 for more than a predetermined time, it may be recognized as urination or defecation, and may be calculated as valid data related to urination / defecation.

This is because it is necessary to be close to or seated on the toilet seat 43 in order to urinate / defecate. Also, after urination / defecation, the act of popping the genitals to discharge residual urine (in the case of men), a tissue hanging on a toilet paper holder to wipe residual urine Since the upper and lower vibrations of the measuring device 20 are performed in both of winding and wiping the genitals (for women), it is possible to calculate as valid data related to urination and defecation.

The medical data calculation module 54 may calculate urination/discretion management related medical data using valid data related to urination/discharge.

More specifically, the frequency of nocturia may be calculated according to the number of acquisitions of medical data related to urination/discharge management at a specific time, specifically between 22:00 and 7:00.

In addition, the number of times of urination during the day may be calculated according to the number of times of obtaining medical data related to urination / defecation management during the day. Here, when the number of urinations less than 3 times a day is calculated, it can be calculated as there is a possibility of a decrease in renal function.

In addition, it is possible to calculate the urination time from the urination / defecation management related medical data. If the urination time lasts for a predetermined time, specifically 5 minutes or more, it can be calculated as the possibility of constipation.

In addition, when the moving speed of the user of the measuring device 20 toward the toilet 34 before urination is recognized is faster than the average speed of the moving speed toward the toilet 34 normally by a predetermined degree, it can be calculated as urgency.

The effective data related to daily life hygiene management is data related to hygiene (washing dishes, cleaning, laundry) related to the daily life of the user of the measurement device 20 .

More specifically, the location data calculated by the location data calculation module 52 is the kitchen 33 , and the measurement device 20 and the sink 47 provided in the kitchen 33 after the food intake data is calculated. When the distance is shorter than the predetermined distance and the sensor data includes sensor data corresponding to the torsional reciprocating motion of the measuring device 20 , it may be calculated as dishwashing data, which is effective data related to daily hygiene management.

In addition, the location data calculated by the location data calculation module 52 includes location data that sequentially moves a plurality of areas (eg, the location of the measurement device 20 changes in the order of bedroom, living room, and kitchen) , when the sensor data includes sensor data corresponding to a reciprocating linear motion of the measuring device 20 with a predetermined amplitude or more, it may be calculated as cleaning data that is effective data related to daily life hygiene management.

In addition, the position data calculated by the position data calculation module 52 includes position data sequentially moving a plurality of areas, and then a position where the distance between the measuring device 20 and the washing machine 48 is shorter than a predetermined distance It includes data, and when the sensor data includes sensor data corresponding to the movement of the measurement device 20 toward the user, it may be calculated as laundry data that is valid data related to daily life hygiene management.

The medical data calculation module 54 may calculate daily life hygiene management related medical data by using valid data related to daily life hygiene management.

More specifically, the number of times of washing dishes, the number of times of cleaning, and the number of times of washing may be calculated using the washing data, the cleaning data, and the washing data.

In this way, medical data is calculated in various healthcare areas by the medical data calculation module 54, and the calculated medical data is compared with preset reference data to be calculated as being outside the normal range, or when a health abnormality such as an emergency is detected, A warning signal is transmitted to the measurement device 20 through the communication module 55 , and the warning module 23 of the measurement device 20 may notify a user of a danger signal through an alarm or light emission. In addition, it is also possible to transmit the data to a separate medical institution server 60 through the communication module 55, so that when an emergency occurs, it is also possible to notify the medical institution.

In addition, the valid data calculated by the medical data calculation module 54 may be stored in the memory 56 or a separate database (not shown), and is valid from other sensor data using an artificial intelligence algorithm with the stored valid data. It can also be used to compute data.

That is, as the effective data operation according to the present invention is performed, what kind of sensor data is used to calculate the valid data in the memory 56 or the database (not shown) will be accumulated and shared, and by machine learning the accumulated data The accuracy of the subsequent valid data operation may be improved.

All or at least a part of the configuration of the healthcare data providing system using the wearable device according to the embodiment of the present application may be implemented in the form of a hardware module or a software module, or a combination of a hardware module and a software module.

Here, the software module may be understood as, for example, a command executed by a processor that controls an operation in a healthcare data providing system using a wearable device, and these commands are stored in a memory in a healthcare data providing system using a wearable device. It may have a mounted form.

The present application as described above has the following effects.

First, it provides convenience to both patients and medical staff because it is possible to acquire various health-related medical data just by living a daily life while wearing a measurement device without visiting a hospital.

Second, since only data related to medical data among data acquired by the sensor are calculated as valid data, reliability of medical data calculated using valid data is improved.

Third, the user can accurately know his or her medical data without being forced into excessively inconvenient or complicated procedures, thereby helping diagnose symptoms and treatment.

Fourth, from the point of view of the medical staff, the patient's daily medical data can be accurately transmitted, and various diseases can be diagnosed based on a universal standard based on the received data, so that an accurate diagnosis is possible regardless of the skill level.

Fifth, this data can also be recorded on the server of a medical institution, so that the patient can comfortably live at home and check all the data in real time at the medical institution. may be secured.

Sixth, since it is possible to determine various diseases using only the measurement device that the user always wears, it has the advantage of being able to easily check the user's health condition at low cost.

Seventh, the location of the wearable device mounted on the measurement object and sensor data (motion data, etc.) Do not excessively infringe on privacy by estimating daily activities through

In the above, the present specification has been described with reference to the embodiments shown in the drawings so that those skilled in the art can easily understand and reproduce the present application, but these are merely exemplary, and those skilled in the art can make various modifications and equivalents from the embodiments of the present application. It will be appreciated that embodiments are possible. Therefore, the scope of protection of the present application should be defined by the claims.

10: detection unit
20: measuring device
21: sensor unit
22: communication module
23: warning module
24: memory
30: space
40: reference device
50: arithmetic device
51: distance data operation module
52: position data operation module
53: valid data operation module
54: medical data operation module
55: communication module
56: memory
60: medical institution server

Claims (14)

a plurality of sensing units 10 provided in a predetermined space 30 divided into a plurality of regions;
At least one of an acceleration sensor 21a, a gyroscope sensor 21b, and a geomagnetic sensor 21c is provided to generate sensor data that is continuous data according to the passage of time in response to the movement, and is worn on the measurement target measuring device 20; and
Calculate distance data between the plurality of sensing units 10 and the measuring device 20 , and calculate position data of the measuring device 20 in the predetermined space 30 based on the calculated distance data and calculating any one of the plurality of areas matching the calculated distance or location data, and using the calculated location data, the sensor data, and the calculated area, any one of a plurality of predetermined healthcare areas Computing device 50 for calculating medical data for abnormalities; including,
A system for providing healthcare data using wearable devices.
According to claim 1,
The computing device 50,
Further calculating the moving distance of the measuring device 20 according to the passage of time using the location data,
Further calculating the moving speed of the measuring device 20 from the calculated moving distance of the measuring device 20,
Calculating exercise management related medical data using one or more of the moving distance, moving speed, and the sensor data,
When a predetermined vibration pattern occurs repeatedly in the sensor data while the position data continuously changes with the passage of time, it is calculated as the number of movements,
When the average value of a plurality of the movement speeds for a predetermined period decreases by a predetermined ratio or more than the average value of the movement speeds for a predetermined period at the time before that, there is a possibility of a decrease in nerve function, a possibility of an increase in body morbidity, or a possibility of an increase in the death rate calculate,
If the average value of the calculated movement distance for a predetermined period is lower than the predetermined movement distance, it is calculated as lack of exercise,
If the vibration pattern of the sensor data is compared with a predetermined normal gait vibration pattern and is lower than a predetermined similarity, it is calculated as possible limping, arthritis, or Parkinson's disease,
If the average value of the moving distance for a predetermined period decreases by a predetermined ratio or more than the average value of the moving distance for a predetermined period at the time before that, it is calculated as a possibility of decreased activity due to depression or a possibility of worsening of the symptoms of depression,
When the average value of the moving distance for a predetermined period increases by a predetermined ratio or more than the average value of the movement distance for a predetermined period at the time before that, it is calculated that there is a possibility of an increase in activity due to mania or a possibility of worsening of the manic symptoms,
A system for providing healthcare data using wearable devices.
According to claim 1,
The computing device 50,
The sensor data includes sensor data corresponding to moving from a predetermined first height to a second height lower than the first height within a predetermined time, and the measurement device 20 is stopped or the measurement device 20 is stopped. If the sensor data corresponding to the stopping of the measurement device 20 for a predetermined time after a predetermined shock is applied, there is a possibility of a fall, a possibility of a heart attack, a possibility of being incapacitated due to loss of consciousness, or a possibility of an emergency. calculate,
When the oxygen saturation value sensed by the oxygen saturation detection sensor 21d is lower than the predetermined oxygen saturation value, or includes sensor data corresponding to the measurement device 20 being stopped for a predetermined time or longer, movement due to disease Calculated with the possibility of limiting or the possibility of sudden death,
A system for providing healthcare data using wearable devices.
According to claim 1,
The plurality of areas 30 includes at least one of a living room 31 , a bedroom 32 , a kitchen 33 and a bathroom 34 ,
The computing device 50,
Further calculating distance data between the measurement device 20 and the reference device 40 provided in the one area matching the calculated distance data using the location data,
A system for providing healthcare data using wearable devices.
5. The method of claim 4,
When the area matching the calculated distance data is the toilet 34,
The position data includes position data in which the distance between the wash basin 44a or shower head 44b provided in the toilet 34 and the measurement device 20 is shorter than a predetermined distance, and thereafter, the sensor data When it includes sensor data corresponding to the continuous vertical, horizontal, or vibrating motion of the measuring device 20 at a first speed or more for a predetermined time or more in a time zone, the calculation device 50 may display the data related to personal hygiene management. It is calculated with the dental data, which is medical data, and
The position data includes position data in which the distance between the washbasin 44 or the shower head 44b and the measurement device 20 is shorter than a predetermined distance, after which the sensor data is more than a predetermined time in a predetermined time period. If the computing device 50 includes sensor data corresponding to repeated upward movement or downward movement of the measuring device 20 at a second speed slower than the first speed during the Calculation with shaving data, which is management-related medical data,
The position data includes position data in which the distance between the washbasin 44a or the shower head 44b and the measuring device 20 is shorter than a predetermined distance, after which the sensor data When it includes sensor data corresponding to the continuous reciprocating motion in multiple angles, the calculation device 50 calculates it as shower data, which is personal hygiene management related medical data,
The calculation device 50 calculates the number of times and time for brushing teeth per day using the tooth brushing data, calculates the number of times and time of shaving using the shaving data, and the number of showers and showers using the shower data. counting time,
A system for providing healthcare data using wearable devices.
5. The method of claim 4,
When the area matching the calculated distance data is the toilet 34,
The position data includes position data in which the distance between the toilet 43 provided in the toilet 34 and the measurement device 20 is shorter than a predetermined distance, and then the sensor data is determined by the measurement device 20 When it includes sensor data corresponding to up and down vibration over time, the calculation device 50 recognizes it as urination or defecation and calculates it as medical data related to urination or defecation management,
The calculation device 50 further calculates the number of urinations per day, urination time, nocturia, frequency and urgency from the urination or defecation management related medical data.
A system for providing healthcare data using wearable devices.
5. The method of claim 4,
When the area matching the calculated distance data is the kitchen 33,
The location data includes location data in which the distance between the refrigerator 45 provided in the kitchen 33 and the measurement device 20 is shorter than a predetermined distance, and the location data obtained thereafter is transmitted to the kitchen 33 The distance between the provided dining table 46 and the measuring device 20 includes position data that is shorter than a predetermined distance, and the sensor data indicates that the measuring device 20 moves between the dining table 46 and the measuring device at a predetermined speed. When 20) includes sensor data corresponding to a reciprocating motion between the mouth of the mounted measurement target, the calculation device 50 calculates it as medical data related to intake management,
In a state where the position data in the left and right directions except for the height direction is fixed for a predetermined time or longer, the sensor data corresponds to a backward twisting motion of the measurement device 20 at a position where the measurement device 20 is at a predetermined height or more If sensor data is included, it is calculated as water intake data,
When the distance between the measurement device 20 and the drug storage location stored in advance is shorter than the predetermined distance in the prescribed drug taking time period, and the water intake data is calculated, it is calculated as drug taking data,
The computing device 50,
During the acquisition of the intake management-related medical data, if the sensor data includes sensor data corresponding to the tremor of the measurement device 20 lasting for a predetermined time, it is calculated as possible Parkinson's disease,
Calculate the degree of exacerbation of the Parkinson's disease symptoms using the change in the amplitude of the sensor data, and calculate whether the drug is appropriate by using the change rate of the amplitude of the sensor data,
Calculating the meal time, the number of meals, the number of snack intakes, the number of water intakes, and the number of appropriate drug doses during the day from the intake management-related medical data,
A system for providing healthcare data using wearable devices.
8. The method of claim 7,
After the intake-related medical data is calculated, the position data includes position data in which the distance between the measuring device 20 and the sink 47 provided in the kitchen 33 is shorter than a predetermined distance, and then the sensor If the data includes sensor data corresponding to the torsional motion of the measuring device 20, the calculating device 50 calculates it as dishwashing data,
A system for providing healthcare data using wearable devices.
5. The method of claim 4,
When the position data includes position data for sequentially moving the plurality of regions, and the sensor data includes sensor data corresponding to a reciprocating linear motion of the measuring device 20 over a predetermined distance in the course of movement, The calculation device 50 calculates it as cleaning data,
When the location data includes location data for sequentially moving the plurality of areas, and thereafter, the location data includes location data in which the distance between the measuring device 20 and the washing machine 48 is shorter than a predetermined distance , the calculation device 50 calculates it as laundry data,
A system for providing healthcare data using wearable devices.
5. The method of claim 4,
When the area matching the calculated distance data is the bedroom 32,
The position data includes position data in which the distance between the bed 42 provided in the bedroom 32 and the measurement device 20 is shorter than a predetermined distance, and the sensor data indicates that the measurement device 20 is When it includes sensor data corresponding to a decrease or stop of movement for a predetermined time or more, the calculation device 50 calculates it as sleep management related medical data,
Calculate sleep time and number of bed departures during sleep from the sleep management related medical data,
The measuring device 20 further comprises an oxygen saturation sensor 21d,
The calculation device 50 further uses the oxygen saturation data sensed by the oxygen saturation sensor 21d to calculate whether sleep apnea is present.
A system for providing healthcare data using wearable devices.
5. The method of claim 4,
The measuring device 20 further comprises a sound sensor 21e,
When the area matching the calculated distance data is the living room 31 or the bedroom 32,
The location data includes location data in which the distance between the TV 41 and the measurement device 20 provided in the living room 31 or the bedroom 32 is shorter than a predetermined distance, and the sensor data is the sound sensor. When the sound of a predetermined decibel or more in (21e) includes sensor data that is detected for more than a preset time, the calculation device 50 calculates it as audiovisual management related medical data,
The calculation device 50 calculates a change in the distance between the measurement device 20 and the TV 41 and the sound in any medical data other than any medical data among a plurality of calculated audiovisual management related medical data. Using any one or more of the change in decibel of the sound sensed by the sensor 21e, it is calculated as visual deterioration or hearing loss,
A system for providing healthcare data using wearable devices.
12. The method according to any one of claims 2 to 11,
The computing device 50 includes medical data related to normal exercise management, medical data related to normal sleep management, medical data related to normal intake management, medical data related to normal personal hygiene management, medical data related to normal audiovisual management, and medical data related to normal urination or defecation management. Any one or more of data and medical data related to emergency management are stored in advance,
The computing device 50 compares the medical data calculated by the computing device 50 with the pre-stored medical data, and when the similarity is lower than a predetermined degree, calculates that there is a health risk factor, and When it is calculated that there is a health risk factor by the measurement device 20, a warning signal is output,
A system for providing healthcare data using wearable devices.
12. A method using the system according to any one of claims 2 to 11, comprising:
calculating distance data between the plurality of sensing units 10 and the measuring device 20;
calculating position data of the measuring device 20 in the predetermined space 30 based on the calculated distance data;
calculating any one of the plurality of areas matching the calculated distance or location data;
generating sensor data by movement of the measurement device (20); and
Using at least one of the distance data, the location data, the calculated area, and the sensor data, calculating medical data for any one or more of a plurality of predetermined healthcare areas from the sensor data;
A method of providing healthcare data using a wearable device.
stored in a computer-readable recording medium to execute the method according to claim 13,
computer program.

Images