Neck movement classification using surface electromyography: A novel linear algorithm based on muscle coordination

Yi Zhu, Arash Mahnan, Jürgen Konczak

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

Abstract

With a growing interest in real-time control of prostheses and wearable rehabilitation devices to treat motor dysfunction, there is a need to classify normal and abnormal body movement using kinematic and electrophysiological data. This paper presents a novel linear algorithm that can classify 10 distinct neck movements based on signals of only four surface electromyography (sEMG) electrodes. We here report on data of 5 healthy adults performing the 10 different neck movements: flexion/extension, right/left lateral flexion, right/left rotation, and four multiplanar directions. Surface EMG electrodes were attached to five locations: 1) left and right sternocleidomastoid, 2) left and right trapezius, and 3) the C7 spinal segment as reference. The algorithm yielded an accuracy of 92.5% in classifying six single-planar neck movement directions and an average accuracy of 81.2% in classifying all ten directions. The algorithm's performance was validated by comparing its accuracy with two conventional classification methods: Linear Discriminant Analysis (LDA) and Artificial Neural Network (ANN). The algorithm has 40% higher accuracy compared to LDA and the comparable accuracy of a three-layer ANN. The linearity and simplicity of the our algorithm enables its deployment on low-cost processors and systems. Future research will be focused on the classification of more complex neck movements and applications in neuromodulation devices.

Original languageEnglish (US)
Title of host publicationProceedings of the 2021 Design of Medical Devices Conference, DMD 2021
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791884812
DOIs
StatePublished - May 11 2020
Event2021 Design of Medical Devices Conference, DMD 2021 - Virtual, Online
Duration: Apr 12 2021Apr 15 2021

Publication series

NameProceedings of the 2021 Design of Medical Devices Conference, DMD 2021

Conference

Conference2021 Design of Medical Devices Conference, DMD 2021
CityVirtual, Online
Period4/12/214/15/21

Bibliographical note

Publisher Copyright:
© 2021 by ASME.

Keywords

  • Classification
  • Neck movement
  • SEMG

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