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Electromyography and Clinical Neurophysiology
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November 1, 1984
Some results on the optimization of a digital processor for surface EMG signals
T D'Alessio
Medical & Biological Engineering & Computing
|
January 1, 1985
'Objective' algorithm for maximum frequency estimation in Doppler spectral analysers
T D'Alessio
IEEE Transactions on Bio-Medical Engineering
|
January 1, 1985
Analysis of a digital EMG signal processor in dynamic conditions
T D'Alessio
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society
|
February 13, 2002
Extraction of the envelope from surface EMG signals
T D'Alessio, S Conforto
Medical Engineering & Physics
|
September 1, 1995
Slip sensors for the control of the grasp in functional neuromuscular stimulation
T D'Alessio, R Steindler
Medical Engineering & Physics
|
October 8, 1999
Real time monitoring of muscular fatigue from dynamic surface myoelectric signals using a complex covariance approach
S Conforto, T D'Alessio
Electromyography and Clinical Neurophysiology
|
November 1, 1988
Sequential estimation of power spectra for non stationary myoelectric signals
M Capponi, T D'Alessio, M Laurenti
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
|
February 18, 1999
Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure
S Conforto, T D'Alessio, S Pignatelli
IEEE Transactions on Bio-Medical Engineering
|
March 24, 1998
A statistical method for the measurement of muscle activation intervals from surface myoelectric signal during gait
P Bonato, T D'Alessio, M Knaflitz
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
|
May 22, 2012
Novel formulation of a double threshold algorithm for the estimation of muscle activation intervals designed for variable SNR environments
G Severini, S Conforto, M Schmid, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 27) with videos related to
Sort By:
Page
of 3
Electromyography and Clinical Neurophysiology
|
November 1, 1984
Some results on the optimization of a digital processor for surface EMG signals
T D'Alessio
Medical & Biological Engineering & Computing
|
January 1, 1985
'Objective' algorithm for maximum frequency estimation in Doppler spectral analysers
T D'Alessio
IEEE Transactions on Bio-Medical Engineering
|
January 1, 1985
Analysis of a digital EMG signal processor in dynamic conditions
T D'Alessio
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society
|
February 13, 2002
Extraction of the envelope from surface EMG signals
T D'Alessio, S Conforto
Medical Engineering & Physics
|
September 1, 1995
Slip sensors for the control of the grasp in functional neuromuscular stimulation
T D'Alessio, R Steindler
Medical Engineering & Physics
|
October 8, 1999
Real time monitoring of muscular fatigue from dynamic surface myoelectric signals using a complex covariance approach
S Conforto, T D'Alessio
Electromyography and Clinical Neurophysiology
|
November 1, 1988
Sequential estimation of power spectra for non stationary myoelectric signals
M Capponi, T D'Alessio, M Laurenti
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
|
February 18, 1999
Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure
S Conforto, T D'Alessio, S Pignatelli
IEEE Transactions on Bio-Medical Engineering
|
March 24, 1998
A statistical method for the measurement of muscle activation intervals from surface myoelectric signal during gait
P Bonato, T D'Alessio, M Knaflitz
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology
|
May 22, 2012
Novel formulation of a double threshold algorithm for the estimation of muscle activation intervals designed for variable SNR environments
G Severini, S Conforto, M Schmid, et al.
Page
of 3