Title :
A Wearable Accelerometer System for Unobtrusive Monitoring of Parkinson´s Diease Motor Symptoms
Author :
Khan, Faisal M. ; Barnathan, Michael ; Montgomery, Michael ; Myers, Stanely ; Cote, Lucien ; Loftus, Sheree
Author_Institution :
Rutgers Univ., New Brunswick, NJ, USA
Abstract :
Parkinson´s disease is a complex condition currently monitored at home with paper diaries which rely on subjective and unreliable assessment of motor function at nonstandard time intervals. We present an innovative wearable and unobtrusive monitoring system for patients which can help provide physicians with significantly improved assessment of patients´ responses to drug therapies and lead to better-targeted treatment regimens. In this paper we describe the algorithmic development of the system and an evaluation in patients for assessing the onset and duration of advanced PD motor symptoms.
Keywords :
accelerometers; biomedical telemetry; diseases; medical computing; patient monitoring; time series; advanced parkinson disease motor symptoms; drug therapies; motor function; nonstandard time intervals; targeted treatment regimens; unobtrusive monitoring; wearable accelerometer system; Accelerometers; Accuracy; Artificial neural networks; Kernel; MATLAB; Parkinson´s disease; Support vector machines; Parkinson´s; accelerometer; time series;
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2014 IEEE International Conference on
Conference_Location :
Boca Raton, FL
DOI :
10.1109/BIBE.2014.18
