|Partner||Tan Tock Seng Hospital|
|Focus||Ability Data, |
|Clinical PI||Dr KONG Ke Hee|
Senior Consultant, Department of Rehabilitation Medicine
Tan Tock Seng Hospital
|Technical PI||A/Prof CHEAH Chien Chern|
Associate Professor, School of Electrical & Electronic Engineering
Nanyang Technological University
Many elderly patients with a high risk of falls and those that have had strokes live alone. It is essential that their falls are detected and emergency services dispatched immediately to tend to them. Most devices depend on the patient wearing them, which is often not practical.
The proposed solution
This research aims to develop a device-free measurement system that can be used to monitor the movements of stroke patients continually and detect falls in the home environment.
Several parallel planes of RF sensor nodes will be deployed in an indoor environment to form a sensor network. The received radio signal strength indicator (RSSI) data of each pair of nodes is processed to determine the position of the patient, without any privacy concerns.