DocumentCode :
3012515
Title :
Time-frequency Features Differentiate Direction of Finger Movement in Cued and Self-paced Tasks
Author :
Ranaweera, Ruwan D. ; Talavage, Thomas M. ; Krishnan, Ananthanarayan
Author_Institution :
Weldon Sch. of Biomed. Eng., Purdue Univ., West Lafayette, IN
fYear :
2005
fDate :
16-19 March 2005
Firstpage :
551
Lastpage :
554
Abstract :
With the intended goal of non-invasive control of prosthetic movement in quadriplegic patients, time-frequency distributions of scalp-recorded event-related potentials (ERPs) of movement of digits on the right hand of healthy subjects were obtained using continuous electroencephalography (EEG) and analyzed to differentiate between motor tasks. Robust, statistically significant differences were observed in the time-frequency features which may be useful in non-invasive identification of the intended direction during cued and self-paced pronation and supination of the right index finger and thumb
Keywords :
bioelectric potentials; biomechanics; medical signal detection; medical signal processing; prosthetics; time-frequency analysis; continuous electroencephalography; cued tasks; finger movement; noninvasive prosthetic movement control; pronation; quadriplegic patients; right index finger; scalp-recorded event-related potentials; self-paced tasks; supination; thumb; time-frequency features; Biomedical engineering; Brain; Electroencephalography; Enterprise resource planning; Fingers; Prosthetics; Speech analysis; Thumb; Time frequency analysis; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
Type :
conf
DOI :
10.1109/CNE.2005.1419682
Filename :
1419682
Link To Document :
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