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Comparative Analysis of Surface Electromyography Features on Bilateral Upper Limbs for Stroke Evaluation: A Preliminary Study

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Intelligent Robotics and Applications (ICIRA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10984))

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Abstract

The loss of upper limb functionality caused by stroke significantly influences patients daily living. Surface electromyography (sEMG) has been applied for study of stroke rehabilitation for tens of years. This paper is an attempt to evaluate stroke severity using sEMG. An experiment including four basic upper limb arm motions was carried out, with eleven able-bodied and six stroke patients being employed. Several sEMG features of bilateral upper limbs were compared for their relationship with stroke severity, and results showed that a new proposed feature named Envelope Correlation (EC) performed best. The experiment outcomes provided a prospect to evaluate stroke grade using sEMG.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 51575338, 51575407, 51475427) and the Fundamental Research Funds for the Central Universities (No. 17JCYB03).

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Authors and Affiliations

  1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, People’s Republic of China

    Hongze Jiang, Yu Zhou & Honghai Liu

  2. Shanghai Jing’an District Central Hospital, Shanghai, People’s Republic of China

    Yang Li

Authors
  1. Hongze Jiang
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  2. Yang Li
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  3. Yu Zhou
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  4. Honghai Liu
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Corresponding author

Correspondence to Honghai Liu .

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Editors and Affiliations

  1. University of Newcastle, Callaghan, New South Wales, Australia

    Zhiyong Chen

  2. University of Newcastle, Callaghan, New South Wales, Australia

    Alexandre Mendes

  3. University of Newcastle, Callaghan, New South Wales, Australia

    Yamin Yan

  4. Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Shifeng Chen

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Jiang, H., Li, Y., Zhou, Y., Liu, H. (2018). Comparative Analysis of Surface Electromyography Features on Bilateral Upper Limbs for Stroke Evaluation: A Preliminary Study. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_23

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  • DOI: https://doi.org/10.1007/978-3-319-97586-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97585-6

  • Online ISBN: 978-3-319-97586-3

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