WO2021177751A1 - 웨어러블 디바이스를 이용한 배뇨 감지 방법 및 시스템 - Google Patents
웨어러블 디바이스를 이용한 배뇨 감지 방법 및 시스템 Download PDFInfo
- Publication number
- WO2021177751A1 WO2021177751A1 PCT/KR2021/002688 KR2021002688W WO2021177751A1 WO 2021177751 A1 WO2021177751 A1 WO 2021177751A1 KR 2021002688 W KR2021002688 W KR 2021002688W WO 2021177751 A1 WO2021177751 A1 WO 2021177751A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- urination
- sensor data
- data
- sensor
- module
- Prior art date
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/20—Measuring for diagnostic purposes; Identification of persons for measuring urological functions restricted to the evaluation of the urinary system
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/20—Measuring for diagnostic purposes; Identification of persons for measuring urological functions restricted to the evaluation of the urinary system
- A61B5/207—Sensing devices adapted to collect urine
- A61B5/208—Sensing devices adapted to collect urine adapted to determine urine quantity, e.g. flow, volume
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6889—Rooms
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7221—Determining signal validity, reliability or quality
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
- A61B10/0045—Devices for taking samples of body liquids
- A61B10/007—Devices for taking samples of body liquids for taking urine samples
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
- A61B2010/0003—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements including means for analysis by an unskilled person
- A61B2010/0006—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements including means for analysis by an unskilled person involving a colour change
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
Definitions
- the present invention relates to a method and system for detecting urination using a wearable device.
- disorders related to urination include dysuria, urinary retention, delayed urination, frequent urination, nocturia, and drip after urination.
- delayed urination symptoms and drip symptoms after urination are commonly found in the elderly, and the cause may be cystitis, and in particular, in women, acute urinary retention may be various.
- the related prior art is as follows.
- Korean Patent Document No. 10-2018416 relates to a method for detecting whether a measurement target object is urinating and ejaculating using a wearable device, but data obtained from a wearable device and a urination pattern or ejaculation pattern obtained through machine learning It is to detect whether urination or ejaculation is performed by comparison, and there is a problem in that a large number of data for comparison must be accumulated.
- Korean Patent Laid-Open Publication No. 10-2019-0066407 relates to a method of detecting urination of a measurement target object using a wearable device, but only detects urination of a measurement target object seated in a toilet seat, and a measurement target using a urinal The subject's urination has an undetectable problem.
- Korean Patent Document No. 10-2072467 obtains user's urine and urine image information using a camera and presents the contents of analyzing the user's health status according to color, turbidity, shape, and amount, but it can be obtained from urine and urine. The accuracy of the analysis is lowered because the health status is not analyzed by reflecting the user's personal information except for the existing information.
- Patent Document 1 Korean Patent Document No. 10-2018416 (2019.09.05)
- Patent Document 2 Korean Patent Publication No. 10-1898887 (June 13, 2019)
- Patent Document 3 Korean Patent Document No. 10-2072467 (2020.02.03)
- the present invention has been devised to solve the above problems.
- the present invention provides a method and apparatus capable of collecting data related to urination with high accuracy regardless of the gender of the subject to be measured, urinal or toilet seat, and urination information and urination disorder therefrom. aims to provide
- Another object of the present invention is to provide a method and apparatus capable of calculating the health information of an object to be measured by photographing a urine image, but capable of calculating more accurate health information by using various information instead of using only the image. do it with
- Another object of the present invention is to provide a program stored in a computer-readable recording medium to execute the above method.
- Another object of the present invention is to provide a computer-readable recording medium in which a computer program for executing the above-described method is recorded.
- An embodiment of the present invention for solving the above problems (a) is generated by the movement of the measurement device 200, the step of acquiring the sensor data (S) that is continuous data according to the passage of time and (b) the effective data filtering module 240 of the measuring device 200 filters the valid data related to urination among the sensor data (S) obtained in the step (a) by a preset method, the urinal or A method comprising: filtering the sensor data (S) obtained when a distance between a sensor 300 installed in a space provided with a toilet seat and the measurement device 200 is within a preset distance with the valid data; provides
- the sensor data (S) obtained in the step (a) moves the measuring device 200 more than a preset time
- the validity when including both the acquired first sensor data S1 and the second sensor data S2 acquired when the measurement device 200 stops for more than a preset time after acquiring the first sensor data S1 It may include filtering with data.
- the distance calculation module 230 further comprises calculating the distance between the measuring device 200 and the sensor 300, the step (b), the effective data filtering module ( 240), after acquiring the first sensor data S1 and before acquiring the second sensor data S2, when the distance calculated by the distance calculation module 230 is calculated within the preset distance, the sensor It may include filtering the data (S) with the valid data.
- the effective data filtering module 240 the sensor data (S) after acquiring the first sensor data (S1) before acquiring the second sensor data (S2) , including third sensor data S3 obtained when the measuring device 200 moves from a preset first height h1 to a second height h2 lower than the first height h1, wherein the sensor Fourth sensor data S4 obtained when data S is obtained when the measuring device 200 moves from the second height h2 to the first height h1 after obtaining the second sensor data S2
- the step of filtering the sensor data (S) to the valid data may include.
- the second height h2 may be a height corresponding to the knee height of the measurement target object to which the measurement device 200 is mounted.
- the sensor 300 is further installed in the urinal installed in the space, and the distance calculation module 230 measures the distance between the measuring device 200 and the sensor 300 installed in the urinal.
- the method further includes calculating, in step (b), the effective data filtering module 240, after acquiring the first sensor data S1, before acquiring the second sensor data S2, the distance calculation module
- the method may include filtering the sensor data S with the valid data.
- the effective data filtering module 240 after the sensor data (S) is obtained the second sensor data (S2), the measurement device 200 is a predetermined When it includes the fifth sensor data (S5) obtained when the vibration motion is more than an amplitude for a preset time or longer, filtering the sensor data (S) with the valid data may be included.
- the effective data filtering module 240 the sensor data (S) after acquiring the first sensor data (S1) before acquiring the second sensor data (S2) , including sixth sensor data S6 obtained when the measuring device 200 moves from a preset first height h1 to a third height h3 lower than the first height h1, wherein the sensor Seventh sensor data S7 obtained when the data S is moved from the third height h3 to the first height h1 after the fifth sensor data S5 is obtained
- the step of filtering the sensor data (S) to the valid data may include.
- the urination information calculation module 250 calculates the data of the initial time when the measurement device 200 stops among the second sensor data S2 of the filtered valid data as the start time of urination.
- the method may further include calculating data at a time point at which the measurement device 200 moves after the urination start time point as the urination end time point.
- the urination information calculation module 250 calculates the difference between the urination end time and the urination start time as a urination time, and calculates the urination amount according to a preset method using the calculated urination time.
- Calculating and (e) the urination disorder determination module 260 may further include determining whether there is a urination disorder according to a preset method using the urination time calculated in the step (d) and the amount of urination. have.
- the gender and age of the subject to be measured are inputted through the information input module 120, and in step (d), the urination information calculation module 250 performs each according to the input gender and age.
- the method may further include calculating the amount of urination in a different way.
- At least one of age, smoking, and pain of the measurement target object is input through the information input module 120, and (f) the photographing module 110 captures an area containing urine to obtain an image and (g) the image calculation module 130 uses at least one information among the input age, smoking status, and pain during urination and color information of the image taken in step (c) to obtain the image
- the method may further include calculating health information for .
- the present invention also provides an apparatus for carrying out the method described above.
- the present invention is a system for performing the above method, which is mounted on a measurement target object and includes a gyro sensor 221 and an acceleration sensor 222 to generate the sensor data S corresponding to the movement. and the sensor 300 installed in the space provided with the measuring device 200 and the urinal or the toilet seat for filtering the sensor data S into the valid data related to urination according to a preset method. to provide a system.
- the user device 100 may further include a user device 100 for calculating health information on the image by using one or more information of whether or not there is pain and pain and color information of the photographed image.
- the present invention provides a program stored in a computer-readable recording medium to execute the above method.
- the present invention provides a computer-readable recording medium in which a computer program for executing the above-described method is recorded.
- the user can accurately know his or her urination data without being forced to an excessively inconvenient or complicated procedure, which can help diagnose symptoms and treatment.
- the patient's daily urination data can be accurately delivered, and the symptoms of delayed urine can be determined based on the received data based on a universal standard, so that accurate judgment is possible regardless of skill level.
- this data can also be recorded on the EMR server of the hospital, so that the patient can comfortably live at home while checking all the data in real time at the hospital. may be secured.
- FIG. 1 is a schematic block diagram for explaining a urination detection system according to an embodiment of the present invention.
- FIG. 2 is a schematic diagram for explaining a space in which urination of a measurement target object is performed.
- FIG. 3 is a block diagram for explaining the urination detection system of FIG. 1 in more detail.
- FIG. 4 is a flowchart illustrating a method for detecting urination according to an embodiment of the present invention.
- FIG. 5 is a flowchart for explaining a method for detecting urination according to another embodiment of the present invention.
- FIG. 6 is a flowchart illustrating a method for detecting urination according to another embodiment of the present invention.
- FIG. 7 and 8 are diagrams for explaining a process in which urination is performed by a measurement target object, which is a female.
- 9 and 10 are diagrams for explaining a process in which urination is performed by a male subject to be measured.
- 11 is a diagram for explaining sensor data used for valid data filtering.
- 12 is a view for explaining the average amount of urination according to gender and age.
- 13 is a view for explaining a state in which urination is detected by the measurement device.
- 15 is a diagram for explaining information that can be input through an information input module in an application executed by an app execution module of a user device.
- FIG. 16 shows an execution screen of the application of FIG. 15 .
- 17 and 18 are diagrams for explaining a process of calculating health information of a photographed image using an image photographed through a photographing module of a user device and information input through an information input module.
- 19 is a view for explaining various health information that can be calculated according to color information of pixels included in a photographed image.
- system refers to an object constructed according to the present invention, not a method.
- EMR refers to an electronic medical record, and a member that processes related information is referred to as an “EMR server”.
- the urination detection system may include a user device 100 , a measurement device 200 , a sensor 300 , and an EMR server 400 .
- the user device 100 is an easily portable electronic device that can be carried by a measurement target object, and may be a videophone, a mobile phone, a smart phone, a portable computer, or a digital camera.
- the user device 100 includes a photographing module 110 , an information input module 120 , an image operation module 130 , an app execution module 140 , a communication module 150 , and a memory 160 .
- the photographing module 110 may photograph an area facing the user device 100 .
- a camera may be applied, and imaging may be performed for a urinal or a toilet seat. It is preferable to perform imaging in a state in which urine or feces of the subject to be measured are accommodated in the urinal or toilet seat.
- the information input module 120 is a part in which information of a measurement target object is input, and the name, gender (female or male), age, smoking status, and pain during urination of the measurement target object may be input.
- the information input to the information input module 120 may be later used for health information calculation by the image calculation module 130 and urination information calculation by the urination information calculation module 250 .
- the image calculation module 130 calculates health information for the image photographed by the photographing module 110 .
- a process of calculating health information for a photographed image will be described in more detail with reference to FIGS. 17 to 19 .
- a urine color measurement application may be executed by the app execution module 140 ( FIG. 17A ), and when the application is executed, a screen on which the name, age, and smoking status of the measurement target object may be input. is output (FIG. 17B). On the output screen, information on the name, age, and smoking status is input to the information input module 120 , and photographing by the photographing module 110 may be started.
- Information input to the information input module 120 can be modified at any time, and the input information is a process of calculating urine color, a process of providing health improvement information based on the calculated urine color, and urination amount/urination by urination detection It is used in both the disability determination process.
- a box may be displayed in a predetermined area (FIG. 17C), and it is preferable that the photographing is performed so that urine or feces are included in the displayed box.
- a screen for checking whether there is pain during urination is output ( FIG. 18D ), and whether or not there is pain during urination on the output screen may be input to the information input module 120 .
- health information for the photographed image of the image calculating module 130 is calculated. More specifically, health information of a corresponding image may be calculated using color information of pixels included in the image.
- the color of the selected area is the corresponding color. It can also be calculated based on the color of the user's urine.
- 19 shows various types of health information that can be calculated according to the color of urine. It is largely divided into 6 colors such as Orange, Green, Brown, Purple, Bright yellow, and Pale Yellow, and different colors are shown depending on the brightness in each color.
- the image calculation module 130 may calculate health information corresponding to the most similar color by comparing the color information of pixels included in the image with the color shown in FIG. If it is determined, health information can be calculated based on the presence of dehydration symptoms.
- a result as shown in FIG. 18E may be output on the screen of the user device 100 and is determined to be normal. In this case, a result as shown in FIG. 18F may be output.
- the image calculation module 130 does not simply calculate the health information using only the color information of the pixels included in the photographed image, but calculates the health information by further using the information input to the information input module 120, That is, health information is calculated by further using information on gender, age, smoking status, and pain during urination.
- various health improvement information may be provided through the user device 100 according to the health information calculated by the image calculation module 130 .
- the health improvement information collectively refers to all information for which health information can be improved when a user performs daily life according to information provided by the user, such as food information, exercise information, and life pattern information.
- the present invention has the advantage that a user-customized health care provision service is possible by providing the most suitable health improvement information to the user according to information such as gender/age/smoking/pain during urination.
- the communication module 150 performs communication with the measurement device 200 and the EMR server 400 .
- the memory 160 includes an image captured by the photographing module 110 , information input to the information input module 120 , health information calculated by the image operation module 130 , urination information to be described later, whether there is a urination disorder, etc. information is stored.
- the measurement device 200 is a part mounted on the object to be measured, mounted on the wrist of the object to be measured, such as a smart watch, a smart band, or a smart ring, and receives sensor data (S) corresponding to the movement of the object to be measured. generate However, it can be mounted not only on the wrist but also on any body part (eg, ankle), and is attached to clothes, etc., so long as it can generate corresponding sensor data (S) according to the movement of the object to be measured. will say it won't happen.
- a unique identifier may be stored, and the unique identifier may be a unique indicator that varies depending on the object to be measured on which the measurement device 200 is mounted.
- the measurement device 200 includes a communication module 210 , a sensor unit 220 , a distance calculation module 230 , a valid data filtering module 240 , a urination information calculation module 250 , and a urination disorder determination A module 260 may be included.
- the communication module 210 performs communication with the user device 100 and the EMR server 400 .
- the sensor unit 220 may output sensor data S corresponding to the movement of the measurement device 200 , and may include a gyro sensor 221 , an acceleration sensor 222 , and a temperature sensor 223 . In another embodiment, it may further include an air pressure sensor (not shown).
- the gyro sensor 221 and the acceleration sensor 222 output sensor data for three-axis rotation, etc., and an air pressure sensor (not shown) detects air pressure and the measurement device 200 is spaced apart from the ground sensor data for a height. (atmospheric pressure decreases as the height increases, so sensor data for the height can be output through this), and the temperature sensor 223 is the temperature for the temperature of the object to be measured in which the measurement device 200 is mounted. output data.
- the data includes both data related to urination as well as data generated in daily life independent of urination. .
- the space 10 means a space in which a urinal and a toilet seat are installed, and since urination and defecation are generally performed in the space 10 in which the urinal and toilet seat are installed, when the measuring device 200 is located in the space 10 It is preferable to filter only the generated sensor data (S) as valid data.
- a plurality of sensors 301 , 302 , 303 , and 304 may be installed in the space 10 , and the distance calculation module 230 is configured between the measuring device 200 and the sensors 301 , 302 , 303 , 304 . distance can be calculated.
- the measuring device 200 when the distance between the measuring device 200 and the sensors 301 , 302 , 303 , 304 calculated by the distance calculation module 230 is within a preset distance, the measuring device 200 returns to the space 10 . ), and the sensor data (S) obtained when the distance between the measurement device 200 and the sensors 301, 302, 303, and 304 is greater than a preset distance can be determined as noise. .
- a method of calculating the distance a method using infrared rays, a triangulation method using at least three or more sensors, etc. may be applied, but the distance between the sensors 301 , 302 , 303 , 304 and the measurement device 200 can be calculated If there is a method, it is not particularly limited thereto.
- the number of steps is calculated by a predetermined method using the gyro sensor 221 and the acceleration sensor 222, and when the calculated number of steps is greater than or equal to the predetermined number of steps, the measurement device 200 is By determining that it has moved to the space 10 , the sensor data S obtained at this time may be determined as valid data. In this case, the calculated number of steps may be output through the user device 100 .
- the measurement target object may be a male or a female, and the urination pattern is different according to the gender.
- the object to be measured will move to the space 10 to see the toilet, and accordingly, the first sensor data S1 generated when the measurement device 200 mounted on the object to be measured moves for more than a preset time is obtained.
- the distance between the measuring device 200 calculated by the distance calculation module 230 and the sensors 301 , 302 , 303 , 304 provided in the space 10 will be calculated within a preset distance, and the calculated distance When is greater than the preset distance, it means that the user is moving to a place other than the space 10, so it is determined as noise.
- the second sensor data S2 generated when the measurement device 200 stops for a preset time or longer is acquired.
- the preset time may be 5 to 9 seconds.
- the valid data filtering module 240 may filter the sensor data S including the first sensor data S1 and the second sensor data S2 as valid data, and urination using the filtered valid data It may be determined whether urination information is calculated by the information calculation module 250 and whether there is a urination disorder by the urination disorder determination module 260 .
- the object to be measured will move to the space 10 to see the toilet, and accordingly, the first sensor data S1 generated when the measurement device 200 mounted on the object to be measured moves for more than a preset time is obtained.
- the distance between the measuring device 200 calculated by the distance calculation module 230 and the sensors 301, 302, 303, 304 provided in the space 10 will be calculated as a value within a preset distance, If the calculated distance is greater than the preset distance, this means that the user is moving to a place other than the space 10, and thus it is determined as noise.
- the height which is the distance the measuring device 200 is spaced apart from the ground, is lower than when standing.
- the measuring device 200 is positioned at a second height h2 lower than the first height h1 . That is, the third sensor data S3 generated when the measuring device 200 moves from the first height h1 to the second height h2 when the toilet seat is seated is acquired.
- the hand In order to not only sit down, but also to take off the lower body, the hand must be positioned from the waist level to the knee level below the knee height, so the change from the first height h1 to the second height h2 may be viewed as a process of removing the lower body.
- the second height h2 is preferably a height from the ground to the knee of the object to be measured.
- the measurement device 200 worn on the measurement target object is also located at the same height as the knee height, the sensor data S corresponding to the second height h2 will be observed.
- the temperature sensor 223 may output temperature data that is the temperature of the object to be measured, and may filter the data as valid data when the temperature data includes data increasing in numerical value.
- the second sensor data S2 generated when the measurement device 200 stops for more than a preset time is acquired.
- the measurement target object puts on the bottom, and stands up in the sitting posture.
- the height of the measuring device 200 will be located again at the first height h1, and fourth sensor data generated when the measuring device 200 moves from the second height h2 to the first height h1 (S4) is obtained.
- the valid data filtering module 240 receives the sensor data (S) including the first sensor data (S1), the third sensor data (S3), the second sensor data (S2), and the fourth sensor data (S4). It is possible to filter by valid data, and by using the filtered valid data, the urination information calculation by the urination information calculation module 250 and the urination disorder determination module 260 may determine whether there is a urination disorder.
- the object to be measured will move to the space 10 to see the toilet, and accordingly, the first sensor data S1 generated when the measurement device 200 mounted on the object to be measured moves for more than a preset time is obtained.
- the distance between the measuring device 200 calculated by the distance calculation module 230 and the sensors 301, 302, 303, 304 provided in the space 10 will be calculated as a value within a preset distance
- the distance between the sensors 302 , 303 , 304 provided in each of the urinals and the measurement device 200 may be calculated as a value within a preset distance. This can be determined as valid data because it can be viewed as being positioned in front of the urinal to urinate in the urinal. to be judged as
- a process in which a male subject to be measured unzips his or her pants to urinate or partially removes her pants is accompanied.
- the measurement device 200 will move from the first height h1 to a third height h3 lower than the first height h1, and the measurement device 200 will move from the first height h1 to the third height (
- the sixth sensor data S6 generated when moving to h3) is obtained.
- the third height h3 may be lower than the first height h1 but higher than the second height h2.
- the second sensor data S2 generated when the measurement device 200 stops for more than a preset time is acquired.
- the measurement device 200 will vibrate for a predetermined time or longer with a predetermined amplitude or more, and the fifth sensor data (S5) generated when the measurement device 200 vibrates with a predetermined amplitude or more for a predetermined time or longer is obtained
- the effective data filtering module 240 is the first sensor data (S1), the sixth sensor data (S6), the second sensor data (S2), the fifth sensor data (S5) and the seventh sensor data (S7) It is possible to filter the included sensor data (S) as valid data, and by using the filtered valid data, the urination information calculation by the urination information calculation module 250, and the urination disorder by the urination disorder determination module 260 are determined. can be judged.
- the valid data filtering module 240 determines whether the sensor data (S) is valid data related to urination through a combination of the first sensor data to the seventh sensor data, and data in which the numerical value of the temperature data increases. will do
- the data used for filtering must be obtained within a preset time. Since the sensor data S is continuous data according to the passage of time, the above data must be simultaneously acquired for a preset time to be considered valid data related to urination.
- an object of the present invention is to detect urine of a user of the measurement device 200 , data determined as having a bowel movement may be determined as noise.
- the measuring device 200 is spaced apart from the floor by the second height h2 for more than a predetermined urination time, or the measuring device 200 has a predetermined amplitude to use toilet paper.
- the sensor data that vibrates with . is observed more than a predetermined number of times, it may be determined that the user of the measurement device 200 has had a bowel movement.
- the predetermined urination time is a very long time compared to the standard urination time, and may be, for example, 2 minutes.
- the predetermined number of times may be, for example, 3 to 5 times, but is not particularly limited thereto.
- the urination information calculation module 250 converts the data of the initial time point at which the measurement device 200 stops among the second sensor data S2 included in the valid data filtered by the valid data filtering module 240 to the urination start time (t1). ) and calculates the data at the time when the measurement device 200 moves after the urination start time t1 as the urination end time t2.
- the time corresponding to the urination start time (t1) or the urination end time (t2) is determined as the urination time, and information on which time urination was performed during 24 hours a day according to the urination time is provided to the user device 200 ) can be output.
- information on at what time the user urinated on the basis of one week, one month, and one year according to the determined urination time may also be output through the user device 200, so that the user urinates using this information. It is also possible that the regularity information, nocturia information, and the like are further calculated.
- the difference between the urination end time t2 and the urination start time t1 may be calculated as the urination time, and the amount of urination may be calculated using the urination time.
- the urination amount may be calculated by multiplying the urination time by the average urination amount, and more specifically, as shown in FIG. can be multiplied to calculate the amount of urination.
- the calculated urination amount is mapped together with the corresponding urination time and output through the user device 100 .
- This urination amount-urination time can be output in the form of a graph, and has the advantage of being able to more conveniently check the user's urination pattern.
- the urination disorder determination module 260 is a part that determines whether there is a urination disorder by using the urination time and the amount of urination calculated by the urination information calculation module 250 .
- the urination disorder determination module 260 may diagnose a delayed urine symptom when the urination time is greater than a preset time.
- the preset time may be 30 seconds.
- the urination disorder determination module 260 may access the EMR server 400 to determine whether there is a urination disorder.
- the EMR server 400 is a part capable of receiving the sensor data S, the unique identifier, the calculated urination time, and the urination amount from the measurement device 200 .
- the EMR server 400 may be any conventionally widely used EMR server. However, the received data can be accurately recorded and maintained only when the unique identifier received from the measurement device 200 is stored.
- the urination disorder determination module 260 of the measurement device 200 may access the EMR server 400 and determine whether there is a urination disorder using the urination time and the amount of urination stored in the EMR server 400, As a result of the determination, the urination time and the amount of urination may be output to the user device 100 .
- the method for detecting urination according to an embodiment of the present invention described above may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium.
- the computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination.
- the program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software.
- Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks.
- - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like.
- Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.
- the hardware devices described above may be configured to operate as one or more software modules to carry out the operations of the present invention, and vice versa.
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Animal Behavior & Ethology (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Heart & Thoracic Surgery (AREA)
- Biophysics (AREA)
- Physiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Artificial Intelligence (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Urology & Nephrology (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Nursing (AREA)
- Quality & Reliability (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Hematology (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Description
Claims (17)
- (a) 측정 디바이스(200)의 움직임에 의해 발생하며, 시간의 흐름에 따른 연속적인 데이터인 센서 데이터(S)가 획득되는 단계; 및(b) 상기 측정 디바이스(200)의 유효 데이터 필터링 모듈(240)이 미리 설정된 방법에 의해 상기 (a) 단계에서 획득된 센서 데이터(S) 중 배뇨와 관련된 유효 데이터를 필터링하는 단계로서, 소변기 또는 좌변기가 구비된 공간 내에 설치되는 센서(300)와 상기 측정 디바이스(200) 사이의 거리가 미리 설정된 거리 이내일 때 획득된 상기 센서 데이터(S)를 상기 유효 데이터로 필터링하는 단계;를 포함하는,방법.
- 제1항에 있어서,상기 (b) 단계는,상기 유효 데이터 필터링 모듈(240)이, 상기 (a) 단계에서 획득된 센서 데이터(S)가 상기 측정 디바이스(200)가 미리 설정된 시간 이상 움직일 때 획득되는 제1 센서 데이터(S1) 및 상기 제1 센서 데이터(S1) 획득 이후 상기 측정 디바이스(200)가 미리 설정된 시간 이상 정지할 때 획득되는 제2 센서 데이터(S2)를 모두 포함하는 경우 상기 유효 데이터로 필터링하는 단계를 포함하는,방법.
- 제2항에 있어서,거리 연산 모듈(230)이 상기 측정 디바이스(200)와 상기 센서(300) 사이의 거리를 연산하는 단계를 더 포함하며,상기 (b) 단계는,상기 유효 데이터 필터링 모듈(240)이, 상기 제1 센서 데이터(S1) 획득 이후 상기 제2 센서 데이터(S2) 획득 이전, 상기 거리 연산 모듈(230)에 의해 연산된 상기 거리가 상기 미리 설정된 거리 이내로 연산된 경우, 상기 센서 데이터(S)를 상기 유효 데이터로 필터링하는 단계를 포함하는,방법.
- 제3항에 있어서,상기 (b) 단계는,상기 유효 데이터 필터링 모듈(240)이,상기 센서 데이터(S)가 상기 제1 센서 데이터(S1) 획득 이후 상기 제2 센서 데이터(S2) 획득 이전, 상기 측정 디바이스(200)가 미리 설정된 제1 높이(h1)에서 상기 제1 높이(h1)보다 낮은 제2 높이(h2)로 움직일 때 획득되는 제3 센서 데이터(S3)를 포함하고,상기 센서 데이터(S)가 상기 제2 센서 데이터(S2) 획득 이후, 상기 측정 디바이스(200)가 상기 제2 높이(h2)에서 상기 제1 높이(h1)로 움직일 때 획득되는 제4 센서 데이터(S4)를 포함하는 경우,상기 센서 데이터(S)를 상기 유효 데이터로 필터링하는 단계를 포함하는,방법.
- 제4항에 있어서,상기 제2 높이(h2)는 상기 측정 디바이스(200)가 장착된 측정 대상 개체의 무릎 높이에 상응하는 높이인,방법.
- 제2항에 있어서,상기 센서(300)는 상기 공간 내에 설치된 상기 소변기에 더 설치되며,거리 연산 모듈(230)이 상기 측정 디바이스(200)와 상기 소변기에 설치된 상기 센서(300) 사이의 거리를 연산하는 단계를 더 포함하며,상기 (b) 단계는,상기 유효 데이터 필터링 모듈(240)이, 상기 제1 센서 데이터(S1) 획득 이후 상기 제2 센서 데이터(S2) 획득 이전, 상기 거리 연산 모듈(230)에 의해 연산된 상기 거리가 미리 설정된 거리 이내인 상태가 소정 시간 지속되는 경우, 상기 센서 데이터(S)를 상기 유효 데이터로 필터링하는 단계를 포함하는,방법.
- 제6항에 있어서,상기 (b) 단계는,상기 유효 데이터 필터링 모듈(240)이,상기 센서 데이터(S)가 상기 제2 센서 데이터(S2) 획득 이후, 상기 측정 디바이스(200)가 소정의 진폭 이상으로 미리 설정된 시간 이상 진동 운동할 때 획득되는 제5 센서 데이터(S5)를 포함하는 경우,상기 센서 데이터(S)를 상기 유효 데이터로 필터링하는 단계를 포함하는,방법.
- 제7항에 있어서,상기 (b) 단계는,상기 유효 데이터 필터링 모듈(240)이,상기 센서 데이터(S)가 상기 제1 센서 데이터(S1) 획득 이후 상기 제2 센서 데이터(S2) 획득 이전, 상기 측정 디바이스(200)가 미리 설정된 제1 높이(h1)에서 상기 제1 높이(h1)보다 낮은 제3 높이(h3)로 움직일 때 획득되는 제6 센서 데이터(S6)를 포함하고,상기 센서 데이터(S)가 상기 제5 센서 데이터(S5) 획득 이후, 상기 측정 디바이스(200)가 상기 제3 높이(h3)에서 상기 제1 높이(h1)로 움직일 때 획득되는 제7 센서 데이터(S7)를 포함하는 경우,상기 센서 데이터(S)를 상기 유효 데이터로 필터링하는 단계를 포함하는,방법.
- 제2항 내지 제8항 중 어느 한 항에 있어서,(c) 배뇨 정보 연산 모듈(250)이 필터링된 유효 데이터의 상기 제2 센서 데이터(S2) 중 상기 측정 디바이스(200)가 정지하는 초기 시점의 데이터를 배뇨 시작 시점으로 연산하고, 상기 배뇨 시작 시점 이후 상기 측정 디바이스(200)가 움직이는 시점의 데이터를 배뇨 종료 시점으로 연산하는 단계;를 더 포함하는,방법.
- 제9항에 있어서,(d) 배뇨 정보 연산 모듈(250)이 상기 배뇨 종료 시점과 상기 배뇨 시작 시점의 차이를 배뇨 시간으로 연산하고, 상기 연산된 배뇨 시간을 이용하여 미리 설정된 방법에 따라 배뇨량을 연산하는 단계; 및(e) 배뇨 장애 판단 모듈(260)이 상기 (d) 단계에서 연산된 상기 배뇨 시간과, 상기 배뇨량을 이용하여 미리 설정된 방법에 따라 배뇨 장애 여부를 판단하는 단계;를 더 포함하는,방법.
- 제10항에 있어서,정보 입력 모듈(120)을 통해 측정 대상 개체의 성별 및 연령이 입력되며,상기 (d) 단계는,상기 배뇨 정보 연산 모듈(250)이 상기 입력된 성별 및 연령에 따라 각각 상이한 방법으로 상기 배뇨량을 연산하는 단계를 더 포함하는,방법.
- 제1항 내지 제8항 중 어느 한 항에 있어서,정보 입력 모듈(120)을 통해 측정 대상 개체의 연령, 흡연 여부 및 통증 여부 중 하나 이상이 입력되며,(f) 촬영 모듈(110)이 소변이 포함된 영역을 촬영하여 이미지를 획득하는 단계; 및(g) 이미지 연산 모듈(130)이 상기 입력된 연령, 흡연 여부 및 배뇨 시 통증 여부 중 하나 이상의 정보 및 상기 (c) 단계에서 촬영된 이미지의 색 정보를 이용하여, 상기 이미지에 대한 건강 정보를 연산하는 단계;를 더 포함하는,방법.
- 제1항 내지 제8항에 따른 방법을 수행하기 위한,장치.
- 제1항 내지 제8항에 따른 방법을 수행하기 위한 시스템으로서,측정 대상 개체에 장착되며, 자이로 센서(221)와 가속도 센서(222)를 포함하여, 그 움직임에 상응하는 상기 센서 데이터(S)를 발생시키며, 미리 설정된 방법에 따라 상기 센서 데이터(S)를 배뇨와 관련된 상기 유효 데이터로 필터링하는 상기 측정 디바이스(200); 및상기 소변기 또는 상기 좌변기가 구비된 상기 공간 내에 설치되는 상기 센서(300);를 포함하는,시스템.
- 제14항에 있어서,정보 입력 모듈(120)을 통해 상기 측정 대상 개체의 성별, 연령, 흡연 여부 및 통증 여부 중 하나 이상이 입력되고, 소변이 포함된 영역을 촬영하며, 상기 입력된 연령, 흡연 여부 및 통증 여부 중 하나 이상의 정보 및 촬영된 이미지의 색 정보를 이용하여, 상기 이미지에 대한 건강 정보를 연산하는 사용자 디바이스(100);를 더 포함하는,시스템.
- 제1항 내지 제8항 중 어느 한 항에 따른 방법을 실행하도록 컴퓨터 판독 가능한 기록매체에 저장된,컴퓨터 프로그램.
- 제1항 내지 제8항 중 어느 한 항에 따른 방법을 실행하기 위한 컴퓨터 프로그램이 기록된,컴퓨터 판독 가능한 기록매체.
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US17/905,398 US20230190161A1 (en) | 2020-03-05 | 2021-03-04 | Method and system for detecting urination using wearable device |
JP2022553047A JP2023517305A (ja) | 2020-03-05 | 2021-03-04 | ウェアラブルデバイスを用いた排尿検知方法及びシステム |
DE112021001438.2T DE112021001438T5 (de) | 2020-03-05 | 2021-03-04 | Verfahren und system zum erfassen einer blasenentleerung unter verwendung einer tragbaren vorrichtung |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020200027911A KR102392785B1 (ko) | 2020-03-05 | 2020-03-05 | 웨어러블 디바이스를 이용한 배뇨 감지 방법 및 시스템 |
KR10-2020-0027911 | 2020-03-05 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2021177751A1 true WO2021177751A1 (ko) | 2021-09-10 |
Family
ID=77612733
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/KR2021/002688 WO2021177751A1 (ko) | 2020-03-05 | 2021-03-04 | 웨어러블 디바이스를 이용한 배뇨 감지 방법 및 시스템 |
Country Status (5)
Country | Link |
---|---|
US (1) | US20230190161A1 (ko) |
JP (1) | JP2023517305A (ko) |
KR (1) | KR102392785B1 (ko) |
DE (1) | DE112021001438T5 (ko) |
WO (1) | WO2021177751A1 (ko) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102571805B1 (ko) * | 2022-02-28 | 2023-08-29 | (주)레이아이 | 요류 검사 장치 및 이를 포함하는 휴대용 단말기 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002022737A (ja) * | 2000-07-06 | 2002-01-23 | Toto Ltd | 排泄物測定装置 |
KR20110098566A (ko) * | 2010-02-26 | 2011-09-01 | 송태운 | 센서와 모니터가 설치된 소변기 |
KR20180121174A (ko) * | 2017-04-28 | 2018-11-07 | 심재훈 | 소변기용 건강상태 측정장치 |
KR20190063248A (ko) * | 2017-11-29 | 2019-06-07 | (주)유엔디 | 스마트 헬스케어 비데 및 그 제어 방법 |
KR20190066407A (ko) * | 2017-12-05 | 2019-06-13 | 김계환 | 웨어러블 디바이스를 이용한 여성 배뇨 감지 시스템 및 이를 이용한 진단 방법 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017104970A1 (ko) | 2015-12-18 | 2017-06-22 | (의료)길의료재단 | 사용자의 자세나 자세의 변화에 기초하여 배뇨를 모니터링하기 위한 장치 내지 시스템, 배뇨를 모니터링하는 방법, 그리고 상기 방법을 실행하기 위한 컴퓨터 프로그램을 기록하는 컴퓨터 판독 가능한 기록 매체 |
KR101898887B1 (ko) | 2017-04-21 | 2018-11-02 | 오스템임플란트 주식회사 | 3d 두부 계측 분석을 위한 3d 랜드마크 제안 시스템 및 그 방법 |
KR102072467B1 (ko) | 2018-03-29 | 2020-02-03 | 권동혁 | 대소변 분석을 이용한 건강상태 모니터링 시스템 |
-
2020
- 2020-03-05 KR KR1020200027911A patent/KR102392785B1/ko active IP Right Grant
-
2021
- 2021-03-04 US US17/905,398 patent/US20230190161A1/en active Pending
- 2021-03-04 DE DE112021001438.2T patent/DE112021001438T5/de not_active Withdrawn
- 2021-03-04 JP JP2022553047A patent/JP2023517305A/ja not_active Withdrawn
- 2021-03-04 WO PCT/KR2021/002688 patent/WO2021177751A1/ko active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002022737A (ja) * | 2000-07-06 | 2002-01-23 | Toto Ltd | 排泄物測定装置 |
KR20110098566A (ko) * | 2010-02-26 | 2011-09-01 | 송태운 | 센서와 모니터가 설치된 소변기 |
KR20180121174A (ko) * | 2017-04-28 | 2018-11-07 | 심재훈 | 소변기용 건강상태 측정장치 |
KR20190063248A (ko) * | 2017-11-29 | 2019-06-07 | (주)유엔디 | 스마트 헬스케어 비데 및 그 제어 방법 |
KR20190066407A (ko) * | 2017-12-05 | 2019-06-13 | 김계환 | 웨어러블 디바이스를 이용한 여성 배뇨 감지 시스템 및 이를 이용한 진단 방법 |
Also Published As
Publication number | Publication date |
---|---|
DE112021001438T5 (de) | 2023-01-12 |
KR102392785B1 (ko) | 2022-05-02 |
US20230190161A1 (en) | 2023-06-22 |
JP2023517305A (ja) | 2023-04-25 |
KR20210112646A (ko) | 2021-09-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2021177751A1 (ko) | 웨어러블 디바이스를 이용한 배뇨 감지 방법 및 시스템 | |
WO2017215354A1 (zh) | 测量仪数据存储方法和装置 | |
WO2013085193A1 (ko) | 사용자 인지 향상 장치 및 그 인지 향상 방법 | |
WO2016024829A1 (ko) | 보행 교정 유도 시스템 및 그 제어 방법 | |
WO2012077954A2 (en) | Health care device, method and graphical user interface for health care | |
WO2015041451A1 (ko) | 촉각 영상 및 근적외선 영상의 정합을 이용한 유방촬영용 영상진단기기 및 유방조직 영상획득방법 | |
WO2012077955A2 (en) | Health care device, method and graphical user interface for health care | |
DE69317570D1 (de) | Pupillometer | |
WO2017116080A1 (ko) | 스마트폰의 비콘정보와 사진정보와 지도정보를 이용한 실시간 위치 자동인식 시스템 및 그 운용방법 | |
SE9101682L (sv) | Foerfarande och anordning vid roentgenapparat med elektronisk bildavkaenning | |
WO2013141667A1 (ko) | 일상 건강 정보 제공 시스템 및 일상 건강 정보 제공 방법 | |
DK1175592T3 (da) | Positionsregistreringsanordning med hjælpemidler til fastlæggelse af tyngdekraftvektorens retning | |
WO2016060329A1 (ko) | 배설물형상측정장치 및 방법 | |
WO2020153662A1 (ko) | 체형 관리 장치 | |
WO2019112319A1 (ko) | 웨어러블 디바이스를 이용한 여성 배뇨 감지 시스템 및 이를 이용한 진단 방법 | |
WO2020045789A1 (ko) | 반려동물의 감정 상태 감지 시스템 및 방법 | |
WO2021101105A2 (ko) | 의료 전문 자료의 과목 분류 시스템 및 방법 | |
EP0947287A3 (en) | Axial alignment apparatus, an eyeglass lens processing system and an eyeglass lens processing preparation system having the apparatus | |
WO2020235810A2 (ko) | 초음파 센서를 이용한 방광 모니터링 장치 및 방법 | |
WO2020085560A1 (ko) | 수렵대회를 위한 온라인 운영시스템 | |
WO2024063321A1 (ko) | 스마트 인솔 기반 부분 체중 부하 보행 가이드 제공 방법 및 그 시스템 | |
EP1427190A4 (en) | ASSISTANCE SYSTEM FOR IMAGE ENTRY AND IMAGE EDITING METHOD | |
WO2022065763A1 (en) | Display apparatus and method for controlling thereof | |
WO2015093833A1 (ko) | 하지 근력 측정 시스템 | |
WO2020141751A1 (ko) | 신체 사이즈 측정용 사진 획득 방법 및 이를 이용한 신체 사이즈 측정 방법, 서버 및 프로그램 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 21765067 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2022553047 Country of ref document: JP Kind code of ref document: A |
|
32PN | Ep: public notification in the ep bulletin as address of the adressee cannot be established |
Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205N DATED 27/01/2023) |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 21765067 Country of ref document: EP Kind code of ref document: A1 |