A New Configuration of Multipolar Cuff Electrode and Dedicated IC for Afferent Signal Recording

Serge Bernard 1 Yves Bertrand 1 Guy Cathébras 2 Lionel Gouyet 2 David Guiraud 3, 2
1 SysMIC - Conception et Test de Systèmes MICroélectroniques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Sensory information coming from natural sensors and being propagated on afferent nerve fibers could be used as feedback for a more efficient closed-loop control of a Functional Electrical Stimulation system. In order to extract and separate these signals according to their nerve fascicule origins, we propose a new architecture of a multipolar cuff electrode and an optimized integrated acquisition circuit. Concerning the electrode, we propose a specific configuration using a large number of poles in order to both reject parasitic signals, such as electromyogram and provide a maximum of recording channels in order to help the signal localization inside the nerve. Moreover, specific low-level analog signal processing was designed to extract the expected low-amplitude signal from its noisy environment. This signal processing is implemented in an ASIC that has to be implanted close to the electrode to achieve the best signal-to-noise ratio.
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Communication dans un congrès
3rd International IEEE/EMBS Conference on Neural Engineering, Hawai, United States. pp.578-581, 2007
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00195236
Contributeur : Serge Bernard <>
Soumis le : lundi 10 décembre 2007 - 11:45:38
Dernière modification le : vendredi 12 janvier 2018 - 01:55:50
Document(s) archivé(s) le : lundi 12 avril 2010 - 06:44:11

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  • HAL Id : lirmm-00195236, version 1

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Serge Bernard, Yves Bertrand, Guy Cathébras, Lionel Gouyet, David Guiraud. A New Configuration of Multipolar Cuff Electrode and Dedicated IC for Afferent Signal Recording. 3rd International IEEE/EMBS Conference on Neural Engineering, Hawai, United States. pp.578-581, 2007. 〈lirmm-00195236〉

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