Using Wearable Sensors to Measure Motor Abilities following Stroke

Motor abilities of stroke survivors are often severely affected. Post-stroke rehabilitation is guided by the use of clinical assessments of motor abilities. Clinical assessment scores can be predicted by models based on features extracted from the wearable sensor data. Wearable sensors would allow monitoring of subjects in the home and provide accurate assessments to guide the rehabilitation process. We propose the use of a wearable sensor system to assess the motor abilities of stroke victims. Preliminary results from twelve subjects show the ability of this system to predict clinical scores of motor abilities.

• Type: Conference
• Year: 2006
• Where: BSN
• Authors: Todd Hester, Richard Hughes, Delsey M. Sherrill, Bethany Knorr, Metin Akay, Joel Stein, Paolo Bonato
• Keywords: BSN 2006, Clinical Assessment, Motor Abilities, Sensor Networks, Wearable Sensor