Integrated accelerometry-based Fall Detection and Fall Risk Prediction System

Size: px

Start display at page:

Download "Integrated accelerometry-based Fall Detection and Fall Risk Prediction System"

Hilary Page
8 years ago
Views:

1 Integrated accelerometry-based Fall Detection and Fall Risk Prediction System Cristina Soaz Room: Z949

2 Motivation? Life expectancy is growing New care models are needed for the sustanibility of modern society 2

3 Motivation The European Commission has identified a need for urgent action to shift the focus from acute, reactive and hospital-based care for the elderly to long, proactive and home-based care¹ ¹Steering Group of the European Innovation Partnership on active and healthy ageing. Strategic Implementation Plan for the European Innovation Partnership on Active and Healthy Ageing Nov

¹Steering Group of the European Innovation Partnership on active and healthy ageing.

4 Motivation The European Commission has identified a need for urgent action to shift the focus from acute, reactive and hospital-based care for the elderly to long, proactive and home-based care¹ ¹Steering Group of the European Innovation Partnership on active and healthy ageing. Strategic Implementation Plan for the European Innovation Partnership on Active and Healthy Ageing Nov Patients with motor disabilities due to diverse patologies, e.g., neurological disease as MS or Parkinson, can benefit also from this new model care. MS patient 4 Reference: Image retrieved from

Strategic Implementation Plan for the European Innovation Partnership on Active and Healthy Ageing Nov. 17. 2011 Patients with motor disabilities due to diverse patologies, e.

5 Overview Fall Risk Assessment Fall Risk Prevention Fall Detection 5

6 Technology Accelerometer: the actibelt Version actibelt -RCT(Randomized Clinical Trials)/ actibelt -BLU (Bluetooth, atmospheric pressure sensor, temperature sensor) Dimensions 6.7 cm x 4 cm x 1 cm Weight 34 g Battery life > 1 month/ ~3-5 days, depending on bluetooth usage Sampling frequency 100 Hz Storage capacity 500 Mbytes ( = 10 days recording) / Up to 8GB ( = up to 235 days of data) Acceleration range +/- 6 g Connectivity USB 1.1, Bluetooth 2.0, RFID, Radio 2.4GHz 6

7 cm x 4 cm x 1 cm Weight 34 g Battery life > 1 month/ ~3-5 days, depending on bluetooth usage Sampling frequency 100

7 Fall Risk Assessment Balance Tests: current methods 7

8 Fall Risk Assessment Balance Tests: accelerometer solution 8

9 Fall Risk Assessment Balance Tests: accelerometer solution y z x 9

10 Fall Risk Assessment Balance Tests: accelerometer solution Postural control strategies: Ankle strategy Hip strategy Step strategy Reference: Winter, David A. "Human balance and posture control during standing and walking." [Image] Gait & Posture 3.4 (1995):

11 Fall Risk Assessment Gait Tests: current methods References: [image] SPPB (short Physical Performance Battery): [video] 11

edu/news/campus-concussion-research-asks-subjects-to-walk-the-line/[image] SPPB

12 Fall Risk Assessment Gait Tests: accelerometer solution 12

13 Fall Risk Assessment Gait Analysis using a single waist-worn Accelerometer Analogy to ECG Example: muscle contusion Injured Healed 13

14 Fall Detection Mobile fall alarm systems & acceptance Unconfortable High cost High false alarm rate Out of range Forget to wear it Short battery lifetime Obtrusive Stigmatizes... The alarm lives in my bedroom. It dangles... I don t want it flapping around in front of me. Too big to sort of hang off my wrist...i think, I ve never used it as an alarm because I ve never got it with me when I need it ¹ ¹Kylie Johnston,1 Karen Grimmer-Somers,1 and Michele Sutherland2. Perspectives on use of personal alarms by older fallers. Int J Gen Med. 2010; 3:

15 Fall Detection: accelerometer solution 15

16 Fall Detection: accelerometer solution Fall Cartesian coordinates Backward-forward axis Up-down axis Left-right axis Fall Spherical coordinates 10 seconds ϴGA [degrees] AmplitudeBA [g] 16

17 Integrated accelerometry-based Fall Detection and Fall Risk Prediction System CAREGIVER WIFI / BLUETOOTH GPRS / UMTS INTERNET BLUETOOTH EMERGENCY CALL CENTER 17

Remote Monitoring of Livestock Wireless and the Wii Improving Livestock Welfare

Remote Monitoring of Livestock Wireless and the Wii Improving Livestock Welfare Ian McCauley Greg Cronin Michelle Watt Samantha Borg Future Farming Systems Research, DPI Vic Outline Wireless Technologies