Beyond user-specificity for EMG decoding using multiresolution muscle synergy analysis

Mark R. Ison, Panagiotis Artemiadis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Electromyographic (EMG) processing is a vital step towards converting noisy muscle activation signals into robust features that can be decoded and applied to applications such as prosthetics, exoskeletons, and human-machine interfaces. Current state of the art processing methods involve collecting a dense set of features which are sensitive to many of the intra-and intersubject variability ubiquitous in EMG signals. As a result, state of the art decoding methods have been unable to obtain subject independence. This paper presents a novel multiresolution muscle synergy (MRMS) feature extraction technique which represents a set of EMG signals in a sparse domain robust to the inherent variability of EMG signals. The robust features, which can be extracted in real time, are used to train a neural network and demonstrate a highly accurate and user-independent classifier. Leave-one-out validation testing achieves mean accuracy of 81:9±3:9% and area under the receiver operating characteristic curve (AUC), a measure of overall classifier performance over all possible thresholds, of 92:4±8:9%. The results show the ability of sparse MRMS features to achieve subject independence in decoders, providing opportunities for large-scale studies and more robust EMG-driven applications.

Original languageEnglish (US)
Title of host publicationAerial Vehicles; Aerospace Control; Alternative Energy; Automotive Control Systems; Battery Systems; Beams and Flexible Structures; Biologically-Inspired Control and its Applications;
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)9780791856123
DOIs
StatePublished - Jan 1 2013
EventASME 2013 Dynamic Systems and Control Conference, DSCC 2013 - Palo Alto, CA, United States
Duration: Oct 21 2013Oct 23 2013

Publication series

NameASME 2013 Dynamic Systems and Control Conference, DSCC 2013
Volume1

Other

OtherASME 2013 Dynamic Systems and Control Conference, DSCC 2013
CountryUnited States
CityPalo Alto, CA
Period10/21/1310/23/13

ASJC Scopus subject areas

  • Control and Systems Engineering

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    Ison, M. R., & Artemiadis, P. (2013). Beyond user-specificity for EMG decoding using multiresolution muscle synergy analysis. In Aerial Vehicles; Aerospace Control; Alternative Energy; Automotive Control Systems; Battery Systems; Beams and Flexible Structures; Biologically-Inspired Control and its Applications; [V001T08A006] (ASME 2013 Dynamic Systems and Control Conference, DSCC 2013; Vol. 1). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DSCC2013-4070