Fall detection system

• US 8,749,391 B2
• Filed: 10/07/2009
• Issued: 06/10/2014
• Est. Priority Date: 10/16/2008
• Status: Active Grant

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips N.V.
• Inventors: Flinsenberg, Ingrid Christina Maria, Ten Kate, Warner Rudoph Theophile
• Primary Examiner(s): Bugg, George
• Assistant Examiner(s): AKKI, MUNEAR T
• Application Number:
  US13/124,205
• Publication Number:
  US 20110199216A1
• Time in Patent Office: 1,707 Days
• Field of Search: 340/573.1, 340/539.12, 340/669, 340/540, 340/984
• US Class Current: 340/573.1
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 5/1117 Fall detection
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: G08B 21/043 detecting an emergency event, e.g. a fall
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait

Abstract

There is provided a fall detection system, comprising one or more sensors for monitoring the movement of a user of the fall detection system and for generating corresponding signals; means for determining a threshold from one or more measurements of the physical condition of the user; a processor for analyzing the signals to identify a fall by the user; analyzing the signals to identify a period of inactivity of the user following the fall; and comparing the length of the period of inactivity of the user with the threshold to determine the severity of the fall.

Claims

1. A fall detection system, comprising:

one or more sensors for monitoring movement of a user and for generating corresponding signals;

a processor configured for;

determining a threshold from one or more measurements of a physical condition of the user by at least;

estimating the time it would take the user to stand up after a fall based on the signals; and

setting the threshold based on the estimated time;

analyzing the signals to identify a fall by the user;

analyzing the signals to identify a period of inactivity of the user following the fall; and

comparing length of inactivity of the user with the threshold to determine severity of the fall.

2. The fall detection system as claimed in claim 1, wherein the processor is adapted to determine that the fall is severe in the event that the length of the period of inactivity of the user exceeds the threshold.

3. The fall detection system as claimed in claim 2, wherein the processor is adapted to trigger an alarm and/or summon help to the user if the fall is severe.

4. The fall detection system as claimed in claim 1, wherein the processor is adapted to analyze the signals to identify the end of the period of inactivity when the user gets up.

5. The fall detection system as claimed in claim 4, wherein the processor is adapted to determine that the fall is not severe in the event that the length of the period of inactivity of the user is less than the threshold.

6. The fall detection system as claimed in claim 4, wherein the processor is adapted to grade the severity of the fall in the event that the length of the period of inactivity of the user is less than the threshold using a ratio of the length of the period of inactivity to the threshold.

7. The fall detection system as claimed in claim 6, wherein the processor is adapted to trigger an alarm and/or summon help to the user in response to the determined severity grade.

8. The fall detection system as claimed in claim 1, wherein the one or more sensors comprises an accelerometer for measuring the acceleration of the fall detection system.

9. The fall detection system as clamed in claim 8, wherein the processor is adapted to identify a fall by identifying an impact that is characteristic of a fall.

10. The fall detection system as claimed in claim 9, wherein the processor is adapted to identify an impact by identifying one or more peaks in the measurements of the acceleration.

11. The fall detection system as claimed in claim 10, wherein the processor is further adapted to determine the severity of the fall by determining the magnitude of the acceleration in the impact.

12. The fall detection system as claimed in claim 1, wherein the one or more measurements of the physical condition of the user comprise measurements of a predetermined movement or series of movements by the user.

13. The fall detection system as claimed in claim 12, wherein the predetermined movement or series of movements comprises one or more of a sit-to-stand transfer, timed up and go movement, getting up from a bed and getting up from the ground.

14. The fall detection system as claimed in claim 12, wherein the one or more measurements comprise measurements of the time taken for the user to complete the predetermined movement or series of movements.

15. The fall detection system as claimed in claim 12, wherein the processor is adapted to determine the one or more measurements of the physical condition of the user while the fall detection system is in use by the user.

18. The fall detection system as claimed in claim 1, wherein the processor is further configured to:

monitor the signals for specific user activities.

19. The fall detection system as claimed in claim 18, wherein the processor is further configured to:

measure the time it takes the user to stand up from a chair, walk three meters, turn around, walk back and sit down; and

estimate the time it would take the user to stand up after a fall based on the measured time.

20. The fall detection system as claimed in claim 1, wherein the threshold is re-evaluated at regular intervals while monitoring movement of the user.

16. A method of operating a fall detection system, the method comprising:

determining a temporal threshold from one or more measurements of user physical condition, the determining including;

monitoring sensor measurements for specific user activities;

estimating the time it would take the user to stand up after a fall based on the monitored sensor measurements; and

setting the threshold based on the estimated time;

detecting a fall by the user; and

monitoring length of inactivity of the user following the detected fall relative to the threshold to determine severity of the detected fall.

17. A computer program product for use in a fall detection system, the computer program product comprising a non-transitory computer readable medium carrying computer program code that, when executed on a processor or computer, controls the processor or computer to:

determine a temporal threshold from one or more measurements of user physical condition, the threshold indicating a length of inactivity of the user following a fall and determined by;

monitoring sensor measurements for specific user activities;

estimating the time it would take the user to stand up after a fall based an the monitored sensor measurements; and

setting the threshold based on the estimated time;

detect a fall by the user;

monitor length of inactivity of the user following the detected fall relative to the first threshold to determine severity of the detected fall; and

grade the severity of the detected fall in response to the length of inactivity of the user being less than the threshold, wherein the grade is based on a ratio of the length of inactivity and the threshold.