Exploring the limit of ENG spatio-temporal filtering for velocity-selectivity

Mariam Abdallah 1 Olivier Rossel 1 Serge Bernard 2 Fabien Soulier 2 Guy Cathébras 1
1 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
2 SysMIC - Conception et Test de Systèmes MICroélectroniques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : The task of distinguishing nerve type for the activity acquired using the multi-electrode cuff presents a big interest in the possible applications of prosthesis control or functional electrical stimulation. In this paper, a method to evaluate the maximum expected performances of filters using two-dimensional spectral analysis is presented and tested on simulated extracellular potentials. These later are the result of a realistic model of an acquisition system developed from biophysiologic parameters and electrode/preamplifier model. The method is thus appropriate for characterizing filter based on velocity selective recording (VSR) method.
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Submitted on : Thursday, June 25, 2015 - 12:02:03 PM
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Mariam Abdallah, Olivier Rossel, Serge Bernard, Fabien Soulier, Guy Cathébras. Exploring the limit of ENG spatio-temporal filtering for velocity-selectivity. NER: Neural Engineering, Apr 2015, Montpellier, France. ⟨lirmm-01168118⟩

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