Automated motion sensor quantification of gait and lower extremity bradykinesia.
The objective was to develop and evaluate algorithms for quantifying gait and lower extremity bradykinesia in patients with Parkinson's disease using kinematic data recorded on a heel-worn motion sensor unit. Subjects were evaluated by three movement disorder neurologists on four domains taken from the Movement Disorders Society Unified Parkinson's Disease Rating Scale while wearing the motion sensor unit. Multiple linear regression models were developed based on the recorded kinematic data and clinician scores and produced outputs highly correlated to clinician scores with an average correlation coefficient of 0.86. The newly developed models have been integrated into a home-based system for monitoring Parkinson's disease motor symptoms.
Great Lakes NeuroTechnologies Inc., Cleveland, OH 44125, USA. dheldman@glneurotech.com
Dustin A
DA
Heldman
Danielle E
DE
Filipkowski
David E
DE
Riley
Christina M
CM
Whitney
Benjamin L
BL
Walter
Steven A
SA
Gunzler
Joseph P
JP
Giuffrida
Thomas O
TO
Mera
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001331:Automation; D005260:Female; D005684:Gait / Q000502:physiology*; D006801:Humans; D018476:Hypokinesia / Q000503:physiopathology*; D035002:Lower Extremity / Q000503:physiopathology*; D008297:Male; D008875:Middle Aged; D009038:Motion; D010300:Parkinson Disease / Q000503:physiopathology; D013686:Telemetry / Q000295:instrumentation*