Philippe Ravier

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Muscle fiber conduction velocity is based on the time delay estimation between electromyography recording channels. The aims of this study is to identify the best estimator of generalized correlation methods in the case where time delay is constant in order to extent these estimator to the time-varying delay case . The fractional part of time delay was(More)
OBJECTIVE To investigate the effect of local excitation of nociceptive muscle afferents on the spatial distribution of muscle activity. METHODS Surface electromyographic (EMG) signals were recorded from the upper trapezius muscle of 10 healthy volunteers with a 5 x 13 electrode grid during 90-s isometric contractions before, during, 15 and 30 min after(More)
During a sustained contraction, electromyographic signals (EMGs) undergo a spectral compression. This fatigue behaviour induces a shift of the mean and the median frequencies to lower frequencies. On the other hand, several studies conclude that the mean/median frequency can increase, decrease or remain constant with an increasing force level. Such(More)
The relatively high contrast between planetary and solar low-frequency radio emissions suggest that the low-frequency radio range may be well adapted to the direct detection of exoplanets. Detection is based on temporal and spectral power integration to remove statistical fluctuations of the sky background noise. However, strong limitations, in particular(More)
In a heartbeat classification procedure, the detection of QRS complex waveforms is necessary. In many studies, this heartbeat extraction function is not considered: the inputs of the classifier are assumed to be correctly identified. This communication aims to redefine classical performance evaluation tools in entire QRS complex classification systems and(More)
This paper gives a brief description of the Controlled On/Off Loads Library (COOLL) dataset. This latter is a dataset of high-sampled electrical current and voltage measurements representing individual appliances consumption. The measurements were taken in June 2016 in the PRISME laboratory of the University of Orléans, France. The appliances are mainly(More)
Mean firing rate estimation is an important step in electromyographic (EMG) signals analysis. Its application is of great interest for the conception and implementation of algorithms in various research domains, ranging from neuromuscular diseases diagnosis to biomechanics. The proposed work is focused on the study of the intrinsic cyclostationary(More)
This work focuses on electromyographic (EMG) signal processing. We propose a new blind approach that aims at detecting the firing rates of the activated motor units. The proposed method is based on the fact that, EMGs can be modelled as second-order cyclostationary signals. After application of a Blind Source Separation (BSS) algorithm, we compute a(More)