Method and system for fall detection

• US 8,217,795 B2
• Filed: 12/05/2007
• Issued: 07/10/2012
• Est. Priority Date: 12/05/2006
• Status: Active Grant

• Current Assignee: John Carlton-Foss
• Original Assignee: John Carlton-Foss
• Inventors: Carlton-Foss, John
• Primary Examiner(s): Previl, Daniel
• Application Number:
  US11/999,277
• Publication Number:
  US 20080129518A1
• Time in Patent Office: 1,679 Days
• Field of Search: 340/573.1, 340/537.7, 340/689, 340/506, 340/539, 340/573.4, 340/573.7, 340/576, 340/686.1, 340/825.19, 340/539.12, 340/531
• US Class Current: 340/573.1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: G08B 21/0216 Alarm cancellation after generation
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
• CPC Class Codes: G08B 25/001 Alarm cancelling procedures or alarm forwarding decisions, e.g. based on absence of alarm confirmation
• CPC Class Codes: G08B 25/009 Signalling of the alarm condition to a substation whose identity is signalled to a central station, e.g. relaying alarm signals in order to extend communication range
• CPC Class Codes: G08B 25/10 using wireless transmission systems G08B25/009 takes precedence
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A fall detection system includes a wearable monitoring device that monitors the movement of a person. The device monitors a sensor and detects variation from the normal range and duration thereof. The system determines whether the wearer has fallen through an algorithmic analysis technique using parameters to evaluate the accelerations and timings of the events that comprise a fall. If the combination of the timing and variations from the normal ranges are sufficient as compared to preset thresholds, a fall report will be generated. The wearable device optionally allows qualified professionals to adjust or customize the parameters to optimize the evaluation to the requirements of particular users or classes of users. The wearable device generally transmits data and alerts over a short distance to a console or over a long distance using a connection to a long-distance back haul communication system such as cell network or internet or both. The device thus transmit data and alerts to a call center or other designated location.

Claims

1. A wearable device for a remote monitoring system, the wearable device positioned on a body of a user, the wearable device comprising:

a data receiver to receive data transmitted from a single 3-D accelerometer positioned on the user;

an analysis device to take the 3-D accelerometer data as input, the analysis device to analyze the 3-D accelerometer data during time intervals in real time using a parameterized algorithm with one or more stored parameters to determine if at least three distinct conditions that occur in a time order sequence associated with a fall have been met and to generate a report, wherein the parameters comprise acceleration thresholds, statistical thresholds from analysis of motion, and timing thresholds; and

a transmitter to transmit the report to a remote location.

2. The wearable device for a remote monitoring system of claim 1, wherein the analysis device analyzes data in relation to a distinct condition, and the one or more stored parameters, each having a default value adjustable by qualified professionals to characterize the distinct condition for an individual user, or classes of users, the analysis device to use the parameterized algorithm to interpret the 3-D accelerometer data.

3. The wearable device for a remote monitoring system of claim 2, wherein the analysis device further provides an indicator of how closely the 3-D accelerometer data matches data characterizing a distinct condition.

4. The wearable device for a remote monitoring system of claim 3, wherein the analysis device uses reported values to indicate how closely the 3-D accelerometer data matches the parameters used by the algorithm.

5. The wearable device for a remote monitoring system of claim 1, further comprising a data diary for retaining the 3-D accelerometer data during time intervals to facilitate adjusting parameter settings for the user.

6. The wearable device for a remote monitoring system of claim 1, further comprising a data diary for retaining outputs from the algorithms.

7. The wearable device for a remote monitoring system of claim 1, wherein the wearable device further comprises a locator device.

8. The wearable device for a remote monitoring system of claim 1, wherein the wearable device further comprises an impact detector.

9. The wearable device for a remote monitoring system of claim 1, wherein the wearable device further comprises a second 3-D accelerometer.

10. A method for sensing whether a user has had a potentially disabling fall, comprising the steps of:

providing a single 3-D accelerometer;

providing a designated receiver;

detecting whether a first acceleration during a first time interval is within a first specified range, thereby indicating that a first condition has been met;

detecting whether a second acceleration during a second time interval is within a second specified range, thereby indicating that a second condition has been met and a fall is starting;

detecting whether a third acceleration during a third time interval is within a third specified range, thereby indicating that a third condition has been met and an impact has occurred;

waiting for a fourth time interval;

detecting whether a fourth acceleration during a fifth time interval is within a fourth specified range, thereby indicating that a fourth condition has been met and the person is in need of assistance, wherein the detecting steps are conducted in real time using a parameterized algorithm with one or more stored parameters to indicate whether or not a condition has been met; and

sending an alert to the designated receiver if the second, third, and fourth conditions are met, thereby indicating that a potentially disabling fall has occurred.

11. The method for sensing whether a user has had a potentially disabling fall of claim 10, further comprising the step of providing a second 3-D accelerometer.

12. The method for sensing whether a user has had a potentially disabling fall of claim 10, further comprising the step of providing an impact detector.

13. The method for sensing whether a user has had a potentially disabling fall of claim 10, wherein the method further comprises the step of detecting whether a fifth acceleration during the fifth time interval is within a fifth specified range, thereby indicating that a fifth condition has been met and the alert should not be sent.

14. The method for sensing whether a user has had a potentially disabling fall of claim 10, wherein the method further comprises the step of calculating the statistical sureness that a condition has been met.

15. The method for sensing whether a user has had a potentially disabling fall of claim 14, wherein the method further comprises the step of providing the data and statistical sureness to the designated receiver for use in modifying the specified ranges.

16. The method for sensing whether a user has had a potentially disabling fall of claim 14, wherein the method further comprises the step of providing the data and statistical sureness to the designated receiver for use in modifying the specified time intervals.

17. The method for sensing whether a user has had a potentially disabling fall of claim 14, further comprising the step of providing a locator device.