Title :
Suppressing pathological tremor during dextrous teleoperation
Author :
Riviere, Cameron N. ; Thakor, Nitish V.
Author_Institution :
Dept. of Mech. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
Pathological tremor is suppressed during glove-based dextrous teleoperation using the Weighted-frequency Fourier Linear Combiner algorithm. This is a computationally inexpensive approach which models the tremor and subtracts it out of the incoming command signal. By suppressing the tremor, RMS error was decreased by 57% in tests combining tremor with a simulated grasping motion
Keywords :
Fourier analysis; adaptive control; biocontrol; biomechanics; data gloves; handicapped aids; human factors; man-machine systems; medical signal processing; muscle; virtual reality; Parkinson´s disease; RMS error; Weighted-frequency Fourier Linear Combiner algorithm; brain injury; computationally inexpensive approach; dextrous teleoperation; essential tremor; glove-based dextrous teleoperation; incoming command signal; multiple sclerosis; pathological tremor suppression; simulated grasping motion; tremor disability; Application software; Computational modeling; Filtering; Fingers; Frequency estimation; Low pass filters; Pathology; Power harmonic filters; Signal processing algorithms; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579638
