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Adaptive interference reduction (AIR) in cuff electrode recordings

Rahal, M; Winter, J; Taylor, J; Donaldson, N; (1999) Adaptive interference reduction (AIR) in cuff electrode recordings. In: (pp. 419-).

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Abstract

Neural signals (ENG) recorded from insulating cuffs fitted with electrodes and placed around nerve bundles can replace artificial sensors in providing feedback signals in functional electrical stimulation (FES) applications. The main source of interference is the electromyographic (EMG) potential generated by excited muscles near the cuff. A method called adaptive interference reduction (AIR) that significantly reduces EMG contamination without the need for high order filtering is presented. The closed-loop system is based on the true-tripole method, however, the gains are adjusted automatically to reduce the EMG contamination.

Type: Proceedings paper
Title: Adaptive interference reduction (AIR) in cuff electrode recordings
ISBN: 0780356756
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/1552337
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