An Automated On-Bed Rehabilitation System Design Based on Pressure Sensory Data Analysis

On-bed physical exercise is significant and necessary during rehabilitation process for patients with motor disorders. An automated, self-managed on-bed rehabilitation system is in demand. Such a system can be achieved and monitored with pressure mapping and posture classification. In this paper we present an automated physical rehabilitation system developed based on pressure mapping and advanced sensory data mining for bed ridden patients to conduct self-rehabilitation. The system is developed with three modules: 1) sensing module; 2) posture recognition module and 3) evaluation ampersand feedback module. Sensing module provides raw data and generates pressure map; Posture recognition module processes pressure data and recognizes postures; Evaluation ampersand feedback module is designed to provide condition evaluations and rehabilitation recommendations. Such a design can automatically provide instructions and guidance for next step exercise, without the involvement of physical therapist. The experimental results have demonstrated the effectiveness of this system. It could serve as a prototype of automated self- rehabilitation system.