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R N Scott

Showing results (51-60 of 92) with videos related to

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Medical & Biological Engineering & Computing|May 1, 1980
Error rate in five-state myoelectric control systemsJ E Paciga, P D Richard, R N Scott
IEEE Transactions on Bio-Medical Engineering|March 1, 1990
The application of neural networks to myoelectric signal analysis: a preliminary studyM F Kelly, P A Parker, R N Scott
Medical & Biological Engineering & Computing|January 1, 1985
Implantable myoelectric control system with sensory feedbackD F Lovely, B S Hudgins, R N Scott
Journal of Rehabilitation Research and Development|July 1, 1985
The fallacy of timed functional testsR N Scott, E R Sandson, P A Parker
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|October 12, 2001
The effects of four time-varying factors on the mean frequency of a myoelectric signalA D Cechetto, P A Parker, R N Scott
Medical & Biological Engineering & Computing|November 1, 1991
Noise characteristics of stainless-steel surface electrodesD T Godin, P A Parker, R N Scott
Medical & Biological Engineering|July 1, 1970
Improved myo-electric control systemD S Dorcas, V A Dunfield, R N Scott
Medical & Biological Engineering & Computing|January 1, 1991
Control performance characteristics of myoelectric signal with additive interferenceY T Zhang, P A Parker, R N Scott
Medical & Biological Engineering & Computing|May 1, 1990
Study of the effects of motor unit recruitment and firing statistics on the signal-to-noise ratio of a myoelectric control channelY T Zhang, P A Parker, R N Scott
Medical & Biological Engineering & Computing|March 1, 1986
Improved battery saving device for use with myoelectric control systemsD F Lovely, C S Buck, R N Scott
Pageof 10

Showing results (51-60 of 92) with videos related to

Sort By:
Pageof 10
Medical & Biological Engineering & Computing|May 1, 1980
Error rate in five-state myoelectric control systemsJ E Paciga, P D Richard, R N Scott
IEEE Transactions on Bio-Medical Engineering|March 1, 1990
The application of neural networks to myoelectric signal analysis: a preliminary studyM F Kelly, P A Parker, R N Scott
Medical & Biological Engineering & Computing|January 1, 1985
Implantable myoelectric control system with sensory feedbackD F Lovely, B S Hudgins, R N Scott
Journal of Rehabilitation Research and Development|July 1, 1985
The fallacy of timed functional testsR N Scott, E R Sandson, P A Parker
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|October 12, 2001
The effects of four time-varying factors on the mean frequency of a myoelectric signalA D Cechetto, P A Parker, R N Scott
Medical & Biological Engineering & Computing|November 1, 1991
Noise characteristics of stainless-steel surface electrodesD T Godin, P A Parker, R N Scott
Medical & Biological Engineering|July 1, 1970
Improved myo-electric control systemD S Dorcas, V A Dunfield, R N Scott
Medical & Biological Engineering & Computing|January 1, 1991
Control performance characteristics of myoelectric signal with additive interferenceY T Zhang, P A Parker, R N Scott
Medical & Biological Engineering & Computing|May 1, 1990
Study of the effects of motor unit recruitment and firing statistics on the signal-to-noise ratio of a myoelectric control channelY T Zhang, P A Parker, R N Scott
Medical & Biological Engineering & Computing|March 1, 1986
Improved battery saving device for use with myoelectric control systemsD F Lovely, C S Buck, R N Scott
Pageof 10