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Prediction of larynx function using multichannel surface EMG classification.

Johnny McNulty1, Kylie de Jager1, Henry T Lancashire1

  • 1The Division of Surgery and Interventional Science, University College London, London, UK.

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|December 13, 2021
PubMed
Summary
This summary is machine-generated.

Surface electromyography (sEMG) shows promise for controlling an artificial, bio-engineered larynx (ABL) in total laryngectomy (TL) patients. This technology can predict swallowing, coughing, and speaking, potentially improving quality of life for those with a TL.

Keywords:
Artificial larynxcoughingpattern recognitionspeechsurface electromyography (sEMG)swallowingtotal laryngectomy

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neuroprosthetics

Background:

  • Total laryngectomy (TL) significantly impairs vital functions like swallowing, coughing, and speech.
  • Restoring these functions is crucial for improving the quality of life for TL patients.
  • Artificial, bio-engineered larynx (ABL) systems offer a potential solution.

Purpose of the Study:

  • To evaluate the efficacy of surface electromyography (sEMG) as a control signal for predicting swallowing, coughing, and speaking.
  • To assess the feasibility of using sEMG for an artificial, bio-engineered larynx (ABL).
  • To investigate the performance of sEMG in both total laryngectomy (TL) patients and controls.

Main Methods:

  • Recorded sEMG signals from submental, intercostal, and diaphragm muscles during swallowing, coughing, speaking, and movement actions.
  • Utilized a range of classifiers, including a random forest (RF) model, to predict these actions.
  • Analyzed prediction accuracy (F1-scores) and detection latency for swallows.

Main Results:

  • The random forest (RF) classifier achieved high F1-scores for coughs (93.8% in controls, 71.0% in TLs) and speech (70.5% in controls, 78.0% in TLs).
  • Swallow prediction showed moderate F1-scores (76.0% in controls, 67.7% in TLs) with 75.1% and 63.1% detection within 500ms for controls and TLs, respectively.
  • sEMG successfully predicted critical laryngeal movements in both cohorts, with encouraging results for the TL group.

Conclusions:

  • sEMG is a viable control signal for predicting essential functions after total laryngectomy (TL).
  • While improvements are needed for a fully functional artificial, bio-engineered larynx (ABL), the study shows significant promise.
  • This research represents a key advancement towards developing an ABL to aid laryngectomees.