DocumentCode
3491349
Title
Adaptive signal processing of physiological hand tremor
Author
Zhang, Jing ; Chu, Fang ; Mohammed, Nizamuddin
Author_Institution
Dept. of Appl. Sci., Arkansas Univ., Little Rock, AR, USA
fYear
2005
fDate
19-22 March 2005
Firstpage
147
Lastpage
152
Abstract
This paper presents the investigation in adaptive signal processing of physiological hand tremor. The adaptive signal processing includes adaptive modeling and prediction. The physiological hand tremor is modeled as an AR(3) process. The model coefficients are identified based on the linear prediction and the recursive least-squares (RLS) adaptive algorithm. The simulation and experimental results show that the algorithm can be used effectively to trace the statistical characteristics and predict the hand tremor in a real-time embedded system.
Keywords
adaptive signal processing; autoregressive processes; least squares approximations; physiological models; recursive estimation; AR(3) process; adaptive modeling; adaptive prediction; adaptive signal processing; physiological hand tremor; recursive least-squares adaptive algorithm; Accelerometers; Adaptive signal processing; Biomedical monitoring; Embedded system; Motion measurement; Predictive models; Real time systems; Resonance light scattering; Signal analysis; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN
0-7803-8812-7
Type
conf
DOI
10.1109/ICNSC.2005.1461177
Filename
1461177
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