ABNORMALITY PREDICTION DEVICE, ABNORMALITY PREDICTION SYSTEM, ABNORMALITY PREDICTION METHOD, BIOLOGICAL INFORMATION MEASURING DEVICE, BIOLOGICAL INFORMATION MEASURING SYSTEM, AND WARNING NOTIFICATION METHOD

• US 20160058394A1
• Filed: 08/26/2015
• Published: 03/03/2016
• Est. Priority Date: 08/27/2014
• Status: Active Grant

• Current Assignee: Seiko Epson Corporation (Seiko Group)
• Original Assignee: Seiko Epson Corporation (Seiko Group)
• Inventors: KOYAMA, Fumio, WATANABE, Shinichiro
• Granted Patent: US 9,808,205 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

An abnormality prediction device includes a detection unit that detects detection information including at least one of biological information of a user and body motion information regarding a body motion of the user, a premonitory symptom determination unit (control unit) that determines whether a premonitory symptom has occurred in the user on the basis of the detection information detected by the detection unit and a premonitory pattern which is a pattern of the detection information according to the premonitory symptom of abnormality occurring in the user, and an information output unit (control unit) that, when the premonitory symptom determination unit determines that the premonitory symptom has occurred, outputs notification information indicating that occurrence of abnormality in the user is predicted.

Claims

1. An abnormality prediction device comprising:

a detection unit that detects detection information including at least one of biological information of a user and body motion information regarding a body motion of the user;

a premonitory symptom determination unit that determines whether a premonitory symptom has occurred in the user on the basis of the detection information detected by the detection unit and a premonitory pattern which is a pattern of the detection information according to the premonitory symptom of abnormality occurring in the user; and

an information output unit that, when the premonitory symptom determination unit determines that the premonitory symptom has occurred, outputs notification information indicating that occurrence of abnormality in the user is predicted.

2. The abnormality prediction device according to claim 1, further comprising a notification unit that notifies the user of the notification information which is input from the information output unit.

3. The abnormality prediction device according to claim 1, further comprising:

a premonitory pattern storage unit that stores the premonitory pattern; and

a premonitory pattern updating unit that updates the premonitory pattern stored in the premonitory pattern storage unit, on the basis of the detection information detected prior to an occurrence timing of the abnormality when the abnormality has occurred in the user.

4. The abnormality prediction device according to claim 3, further comprising an abnormality determination unit that determines whether abnormality has occurred in the user,

wherein when the abnormality determination unit determines that abnormality has occurred, the premonitory pattern updating unit updates the premonitory pattern.

5. The abnormality prediction device according to claim 3, further comprising an operation unit that receives an input operation from the user,

wherein when an operation signal indicating that the abnormality has occurred is input from the operation unit, the premonitory pattern updating unit updates the premonitory pattern.

6. The abnormality prediction device according to claim 5,

wherein the operation unit is configured to be able to input either an elapsed time since the abnormality has occurred in the user or an occurrence time of the abnormality, and wherein the premonitory pattern updating unit updates the premonitory pattern on the basis of the detection information detected before either a starting time of the elapsed time or the occurrence time which is input by the operation unit.

7. The abnormality prediction device according to claim 1,

wherein the premonitory symptom determination unit determines that the premonitory symptom has occurred in the user when a pattern based on the detection information detected by the detection unit in a state where the abnormality has not occurred in the user is similar to the premonitory pattern rather than a normal pattern which is a pattern of the detection information according to a state where the premonitory symptom and the abnormality have not occurred in the user, and determines that the premonitory symptom has not occurred in the user when the pattern is similar to the normal pattern.

8. The abnormality prediction device according to claim 7, further comprising:

a normal pattern storage unit that stores the normal pattern;

an abnormality determination unit that determines whether the abnormality has occurred in the user;

a period determination unit that determines whether a predetermined period of time during which the abnormality determination unit determines that abnormality has not occurred in the user has elapsed; and

a normal pattern updating unit that, when the period determination unit determines that the predetermined period of time has elapsed, updates the normal pattern on the basis of the detection information detected by the detection unit during the predetermined period of time.

9. The abnormality prediction device according to claim 1, wherein when it is determined that the abnormality has occurred in the user, the information output unit outputs information indicating that the abnormality has occurred.

10. The abnormality prediction device according to claim 1,

wherein the detection unit includes at least one of a biological information detection unit that detects a pulse wave of the user as the biological information, and a body motion information detection unit that detects acceleration varying in association with the body motion of the user, as the body motion information.

11. An abnormality prediction system comprising:

a detection device that detects detection information regarding a user; and

an information processing device that processes detection information detected by the detection device,

wherein the detection device includes

a detection unit that detects detection information including at least one of biological information of the user and body motion information regarding a body motion of the user,

a detection information transmission unit that transmits the detection information to the information processing device, and

a notification unit that notifies the user of information received from the information processing device, and

wherein the information processing device includes

a premonitory symptom determination unit that determines whether a premonitory symptom has occurred in the user, on the basis of the detection information received from the detection device and a premonitory pattern which is a pattern of the detection information according to the premonitory symptom of abnormality occurring in the user, and

a notification information transmission unit that, when the premonitory symptom determination unit determines that the premonitory symptom has occurred, transmits notification information indicating that occurrence of abnormality in the user is predicted to the detection device.

12. An abnormality prediction method performed using a detection device that detects a state of a user, the method comprising:

detecting detection information including at least one of biological information of a user and body motion information regarding a body motion of the user;

determining whether a premonitory symptom has occurred in the user, on the basis of the detected detection information and a premonitory pattern which is a pattern of the detection information according to the premonitory symptom of abnormality occurring in the user; and

outputting, when it is determined that the premonitory symptom has occurred, notification information indicating that occurrence of abnormality in the user is predicted.

13. A biological information measuring device comprising:

a biological information detection unit that detects biological information of a user;

a body motion information detection unit that detects body motion information of the user;

a motion amount calculation unit that calculates a motion amount of the user on the basis of the biological information and the body motion information;

a limit value setting unit that sets a limit value of the motion amount according to the user;

a notification determination unit that determines a possibility of abnormality occurring in the user, on the basis of the calculated motion amount and the set limit value; and

a notification unit that gives notice of a warning when the notification determination unit determines that there is an increasing possibility of the abnormality occurring.

14. The biological information measuring device according to claim 13,

wherein the motion amount calculation unit calculates a total value of motion amounts since the user'"'"'s motion has been started and a period motion amount which is a motion amount during a predetermined period of time since the user'"'"'s motion has been started, and

wherein the notification determination unit determines that there is an increasing possibility of the abnormality occurring, on the basis of the period motion amount, at a predetermined time before the total value reaches the limit value.

15. The biological information measuring device according to claim 14, wherein when a quotient obtained by dividing a residual motion amount, obtained by subtracting the total value from the limit value, by the period motion amount is set to be the predetermined time or less, the notification determination unit determines that there is an increasing possibility of the abnormality occurring.

16. The biological information measuring device according to claim 14, wherein the period motion amount is a motion amount during a latest predetermined period of time.

17. The biological information measuring device according to claim 13,

wherein the motion amount calculation unit calculates a total value of motion amounts since the user'"'"'s motion has been started, and

wherein when the total value has reached a predetermined proportion of the limit value, the notification determination unit determines that there is an increasing possibility of the abnormality occurring.

18. The biological information measuring device according to claim 13, wherein the notification determination unit functions at predetermined time intervals.

19. The biological information measuring device according to claim 13,

wherein the limit value includes a first limit value that is set in advance on the basis of severity of the user'"'"'s disease, and a second limit value in which motion amounts integrated between when the user'"'"'s motion is started and when a predetermined input operation is performed are set, and

wherein the notification determination unit determines a possibility of the abnormality occurring, on the basis of the calculated motion amount and at least one of the first limit value and the second limit value which are set.

20. The biological information measuring device according to claim 13,

wherein the motion amount calculation unit calculates a latest motion amount which is a motion amount during the latest predetermined period of time since the user'"'"'s motion has been started, and

wherein the notification unit gives notice of a time based on a quotient, obtained by dividing the limit value by the latest motion amount, as a time when a motion is able to be performed.

21. The biological information measuring device according to claim 13, wherein the motion amount is an activity amount.

22. A biological information measuring system comprising:

the biological information measuring device according to claim 13; and

an information processing device that communicates with the biological information measuring device,

wherein when the notification determination unit determines that there is an increasing possibility of the abnormality occurring, the information processing device gives notice of predetermined information.

23. A warning notification method performed using a measurement device that measures biological information and body motion information of a user, the method comprising:

detecting the biological information of the user;

detecting the body motion information of the user;

calculating a motion amount of the user on the basis of the biological information and the body motion information;

determining a possibility of abnormality occurring in the user, on the basis of the calculated motion amount and a limit value which is set according to the user; and

giving notice of a warning when it is determined that there is an increasing possibility of the abnormality occurring.