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S Conforto

Showing results (1-10 of 23) with videos related to

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Medical Engineering & Physics|October 8, 1999
Real time monitoring of muscular fatigue from dynamic surface myoelectric signals using a complex covariance approachS Conforto, 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 signalsT D'Alessio, S Conforto
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 procedureS Conforto, T D'Alessio, S Pignatelli
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|November 2, 2018
Assessing the influence of SNR and pre-processing filter bandwidth on the extraction of different muscle co-activation indexes from surface EMG dataM Rinaldi, C D'Anna, M Schmid, et al.
Medical & Biological Engineering & Computing|September 1, 1995
High-quality compression of echographic images by neural networks and vector quantisationS Conforto, T D'Alessio, E Zanette, et al.
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 environmentsG Severini, S Conforto, M Schmid, et al.
Computer Methods and Programs in Biomedicine|March 28, 2006
A neural approach to extract foreground from human movement imagesS Conforto, M Schmid, A Neri, et al.
Medical Engineering & Physics|June 26, 2010
An adaptive Kalman-based Bayes estimation technique to classify locomotor activities in young and elderly adults through accelerometersR Muscillo, M Schmid, S Conforto, et al.
Neuroscience|April 13, 1999
Synchronized approximately 15.0-35.0 Hz oscillatory response to spatially modulated visual patterns in manW G Sannita, S Conforto, L Lopez, et al.
The Open Biomedical Engineering Journal|August 28, 2015
A Comparative Study on the Influence of Probe Placement on Quality Assurance Measurements in B-mode Ultrasound by Means of Ultrasound PhantomsA Scorza, S Conforto, C D'Anna, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Medical Engineering & Physics|October 8, 1999
Real time monitoring of muscular fatigue from dynamic surface myoelectric signals using a complex covariance approachS Conforto, 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 signalsT D'Alessio, S Conforto
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 procedureS Conforto, T D'Alessio, S Pignatelli
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|November 2, 2018
Assessing the influence of SNR and pre-processing filter bandwidth on the extraction of different muscle co-activation indexes from surface EMG dataM Rinaldi, C D'Anna, M Schmid, et al.
Medical & Biological Engineering & Computing|September 1, 1995
High-quality compression of echographic images by neural networks and vector quantisationS Conforto, T D'Alessio, E Zanette, et al.
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 environmentsG Severini, S Conforto, M Schmid, et al.
Computer Methods and Programs in Biomedicine|March 28, 2006
A neural approach to extract foreground from human movement imagesS Conforto, M Schmid, A Neri, et al.
Medical Engineering & Physics|June 26, 2010
An adaptive Kalman-based Bayes estimation technique to classify locomotor activities in young and elderly adults through accelerometersR Muscillo, M Schmid, S Conforto, et al.
Neuroscience|April 13, 1999
Synchronized approximately 15.0-35.0 Hz oscillatory response to spatially modulated visual patterns in manW G Sannita, S Conforto, L Lopez, et al.
The Open Biomedical Engineering Journal|August 28, 2015
A Comparative Study on the Influence of Probe Placement on Quality Assurance Measurements in B-mode Ultrasound by Means of Ultrasound PhantomsA Scorza, S Conforto, C D'Anna, et al.
Pageof 3