I. Rodríguez-Carreño

sEMG wavelet-based indices predicts muscle power loss during dynamic contractions.

A Malanda, M. Izquierdo, A. Malanda, 2010, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Averaging methods for extracting representative waveforms from motor unit action potential trains.

Javier Rodriguez-Falces, Javier Navallas, Armando Malanda, 2015, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Motor Unit Action Potential Duration: Measurement and Significance

I. Rodríguez-Carreño, Luis Gila-Useros, A. Malanda-Trigueros, 2012 .

Sliding window averaging in normal and pathological motor unit action potential trains

Sonia Porta, J. Rodríguez-Falces, J. Navallas, 2018, Clinical Neurophysiology.

Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas

E. Wolff, R. Sliuzas, M. Kuffer, 2022, Comput. Environ. Urban Syst..

Automatic jitter measurement in needle-detected motor unit potential trains

D. Stashuk, J. Rodríguez-Falces, I. Rodríguez-Carreño, 2022, Comput. Biol. Medicine.

Linear vs. non-linear mapping of peak power using surface EMG features during dynamic fatiguing contractions.

D Farina, A Malanda, D. Farina, 2010, Journal of biomechanics.

Filter design for cancellation of baseline-fluctuation in needle EMG recordings

Javier Navallas-Irujo, Armando Malanda-Trigueros, Ignacio Rodríguez-Carreño, 2006, Comput. Methods Programs Biomed..

Wavelet transform moments for feature extraction from temporal signals

Ignacio Rodríguez-Carreño, Marko Vuskovic, M. Vuskovic, 2005, ICINCO.

Sliding window averaging in normal and pathological motor unit action potential trains

Sonia Porta, J. Rodríguez-Falces, J. Navallas, 2018, Clinical Neurophysiology.

A mathematical analysis of SFAP convolutional models

Armando Malanda-Trigueros, Luis Gila-Useros, Ignacio Rodríguez-Carreño, 2005, IEEE Trans. Biomed. Eng..

sEMG wavelet-based indices predicts muscle power loss during dynamic contractions.

A. Malanda, E. Gorostiaga, I. Rodríguez-Carreño, 2010, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Linear vs. non-linear mapping of peak power using surface EMG features during dynamic fatiguing contractions.

A. Malanda, E. Gorostiaga, I. Rodríguez-Carreño, 2010, Journal of biomechanics.