Article

There has been an urgent need for an effective and efficient upper limb
rehabilitation method for poststroke patients. We present a Micro-Sensor-based
Upper Limb rehabilitation System for poststroke patients. The wearable motion
capture units are attached to upper limb segments embedded in the fabric of
garments. The body segment orientation relative to the reference frame is
computed by fusion of the sensory data, and the upper limb trajectory and
movement parameters are obtained. Using the micro-Sensor-based Upper Limb
rehabilitation System, the clinical Active Range of Motion scale can be measured
automatically; a set of novel quantitative measures, referred to as motor feature
indices, are obtained to evaluate the quality of the movement. Experimental
results show that the proposed motor feature indices reflect the real motor
impairment status very well, providing objective measurements of a patient's
functional recovery status in the rehabilitation process.

Langue : ANGLAIS