TY - GEN
T1 - Beyond the Standard Clinical Rating Scales
T2 - 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
AU - Zhang, Mi
AU - Lange, Belinda
AU - Chang, Chien-Yen
AU - Sawchuk, Alexander A.
AU - Rizzo, Albert A.
PY - 2012/12/14
Y1 - 2012/12/14
N2 - Accurate motor function assessment of post-stroke patients plays a critical role in their rehabilitation interventions. In this paper, we propose an approach to use wearable inertial sensing technology to quantitatively evaluate the patients' motor behavior. Different from existing wearable motor function assessment techniques that focus on building mapping functions that correlate sensed movement signals to the standard clinical rating scales, our approach provides a fine-grained assessment by capturing detailed patterns contained in the patients' movements. We collected data on three subjects including two post-stroke patients who have varying degrees of upper extremity hemiparesis. Our experimental results validate our approach and demonstrate that the captured patterns can be used to complement the standard clinical scores to provide fine-grained motor function assessment and help clinicians to track patients' gradual progress during rehabilitation.
AB - Accurate motor function assessment of post-stroke patients plays a critical role in their rehabilitation interventions. In this paper, we propose an approach to use wearable inertial sensing technology to quantitatively evaluate the patients' motor behavior. Different from existing wearable motor function assessment techniques that focus on building mapping functions that correlate sensed movement signals to the standard clinical rating scales, our approach provides a fine-grained assessment by capturing detailed patterns contained in the patients' movements. We collected data on three subjects including two post-stroke patients who have varying degrees of upper extremity hemiparesis. Our experimental results validate our approach and demonstrate that the captured patterns can be used to complement the standard clinical scores to provide fine-grained motor function assessment and help clinicians to track patients' gradual progress during rehabilitation.
UR - http://www.scopus.com/inward/record.url?scp=84870776132&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2012.6347388
DO - 10.1109/EMBC.2012.6347388
M3 - Conference contribution
C2 - 23367323
AN - SCOPUS:84870776132
SN - 9781424441198
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 6111
EP - 6115
BT - 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
PB - Institute of Electrical and Electronics Engineers Inc.
CY - USA
Y2 - 28 August 2012 through 1 September 2012
ER -