Low-latency EMG onset and termination detection for facial pacing

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    Abstract

    An adaptive method for reliable and fast detection of muscle activity from surface electromyographic (sEMG) signals is introduced. The aim of this research was to minimize the delay of the onset and termination detection, while still retaining the reliability and simplicity of the detection algorithm. The proposed algorithm is based on a double-threshold detector. The algorithm applies the same principles as a constant false alarm rate (CFAR) processor that is often used to distinguish events from noisy environments with dynamic noise characteristics. The algorithm was tested with different noise conditions and frequencies. For each condition, a set of 1000 computer-simulated EMG signals were processed multiple times with different processing parameters in order to find the optimal settings for reliable muscle activity detection. The results for the detection delays were comparable to previously published results, and for low-noise conditions the detection worked without errors. The performance of the algorithm was verified using real sEMG signals. Performance in termination detection that has often been neglected in prior studies, is also reported. The results show that the method could be applied in the targeted real-time application: facial pacing.

    Original languageEnglish
    Title of host publicationEMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
    EditorsHannu Eskola
    PublisherSpringer Verlag
    Pages1016-1019
    Number of pages4
    ISBN (Print)978-981-10-5121-0
    DOIs
    Publication statusPublished - 2018
    Publication typeA4 Article in conference proceedings
    EventJoint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) -
    Duration: 1 Jan 2018 → …

    Publication series

    NameIFMBE Proceedings
    Volume65
    ISSN (Print)1433-9277

    Conference

    ConferenceJoint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)
    Period1/01/18 → …

    Keywords

    • Double threshold detector
    • Electromyography
    • Facial pacing
    • double threshold detector
    • electromyography
    • facial pacing

    Publication forum classification

    • Publication forum level 1

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