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Armando Malanda

Showing results (31-40 of 56) with videos related to

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Medical & Biological Engineering & Computing|March 27, 2012
Influence of the shape of intracellular potentials on the morphology of single-fiber extracellular potentials in human muscle fibersJavier Rodriguez-Falces, Javier Navallas, Luis Gila, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|May 13, 2015
Averaging methods for extracting representative waveforms from motor unit action potential trainsArmando Malanda, Javier Navallas, Javier Rodriguez-Falces, et al.
Medical & Biological Engineering & Computing|March 11, 2010
New feature extraction approach for epileptic EEG signal detection using time-frequency distributionsCarlos Guerrero-Mosquera, Armando Malanda Trigueros, Jorge Iriarte Franco, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|July 4, 2025
The Probability Density Function (PDF) of surface EMG with increasing force: a comparison between the tibialis anterior and the vastus lateralisSilvia Recalde-Villamayor, Javier Navallas, Cristina Mariscal, et al.
Medical & Biological Engineering & Computing|January 13, 2018
A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordingsÍñigo Corera, Adrián Eciolaza, Oliver Rubio, et al.
Neuroreport|March 14, 2003
Alpha and beta oscillatory changes during stimulus-induced movement paradigms: effect of stimulus predictabilityManuel Alegre, Iñaki G Gurtubay, Alberto Labarga, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|October 8, 2003
Independent component analysis as a tool to eliminate artifacts in EEG: a quantitative studyJorge Iriarte, Elena Urrestarazu, Miguel Valencia, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 14, 2025
Motor Neuron Loss Detection Based on EMG Probability Density Function Shape DescriptorsJavier Navallas, Lucia Biurrun, Cristina Mariscal, et al.
Journal of Sports Science & Medicine|March 10, 2016
Limitations of Spectral Electromyogramic Analysis to Determine the Onset of Neuromuscular Fatigue Threshold during Incremental Ergometer CyclingIban Latasa, Alfredo Cordova, Armando Malanda, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|January 7, 2004
Alpha and beta oscillatory activity during a sequence of two movementsManuel Alegre, Iñaki García de Gurtubay, Alberto Labarga, et al.
Pageof 6

Showing results (31-40 of 56) with videos related to

Sort By:
Pageof 6
Medical & Biological Engineering & Computing|March 27, 2012
Influence of the shape of intracellular potentials on the morphology of single-fiber extracellular potentials in human muscle fibersJavier Rodriguez-Falces, Javier Navallas, Luis Gila, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|May 13, 2015
Averaging methods for extracting representative waveforms from motor unit action potential trainsArmando Malanda, Javier Navallas, Javier Rodriguez-Falces, et al.
Medical & Biological Engineering & Computing|March 11, 2010
New feature extraction approach for epileptic EEG signal detection using time-frequency distributionsCarlos Guerrero-Mosquera, Armando Malanda Trigueros, Jorge Iriarte Franco, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|July 4, 2025
The Probability Density Function (PDF) of surface EMG with increasing force: a comparison between the tibialis anterior and the vastus lateralisSilvia Recalde-Villamayor, Javier Navallas, Cristina Mariscal, et al.
Medical & Biological Engineering & Computing|January 13, 2018
A masked least-squares smoothing procedure for artifact reduction in scanning-EMG recordingsÍñigo Corera, Adrián Eciolaza, Oliver Rubio, et al.
Neuroreport|March 14, 2003
Alpha and beta oscillatory changes during stimulus-induced movement paradigms: effect of stimulus predictabilityManuel Alegre, Iñaki G Gurtubay, Alberto Labarga, et al.
Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society|October 8, 2003
Independent component analysis as a tool to eliminate artifacts in EEG: a quantitative studyJorge Iriarte, Elena Urrestarazu, Miguel Valencia, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 14, 2025
Motor Neuron Loss Detection Based on EMG Probability Density Function Shape DescriptorsJavier Navallas, Lucia Biurrun, Cristina Mariscal, et al.
Journal of Sports Science & Medicine|March 10, 2016
Limitations of Spectral Electromyogramic Analysis to Determine the Onset of Neuromuscular Fatigue Threshold during Incremental Ergometer CyclingIban Latasa, Alfredo Cordova, Armando Malanda, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|January 7, 2004
Alpha and beta oscillatory activity during a sequence of two movementsManuel Alegre, Iñaki García de Gurtubay, Alberto Labarga, et al.
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