Ankle-Angle Estimation from Blind Source Separated Afferent Activity in the Sciatic Nerve for Closed-Loop Functional Neuromuscular Stimulation System

Kang Il Song, Jun Uk Chu, Sunghee E. Park, Dosik Hwang, Inchan Youn

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Cuff electrode recording has been proposed as a solution to obtain robust feedback signals for closed-loop controlled functional neuromuscular stimulation (FNS) systems. However, single-channel cuff electrode recording requires several electrodes to obtain the feedback signal related to each muscle. In this study, we propose an ankle-Angle estimation method in which recording is conducted from the proximal nerve trunk with a multichannel cuff electrode to minimize cuff electrode usage. In experiments, muscle afferent signals were recorded from a rabbit's proximal sciatic nerve trunk using a multichannel cuff electrode, and blind source separation and ankle-Angle estimation were performed using fast independent component analysis (PP/FastICA) combined with dynamically driven recurrent neural network (DDRNN). The experimental results indicate that the proposed method has high ankle-Angle estimation accuracy for both situations when the ankle motion is generated by position servo system or neuromuscular stimulation. Furthermore, the results confirm that the proposed method is applicable to closed-loop FNS systems to control limb motion.

Original languageEnglish
Article number7491298
Pages (from-to)834-843
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Volume64
Issue number4
DOIs
Publication statusPublished - 2017 Apr

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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