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Pilot study for a Brain-Muscle-Computer Interface using the Extensor Pollicis Longus with preselected frequency

Ida-Maria Skavhaug1, Rebecca Bobell, Ben Vernon

  • 1Department of Mechanical & Aerospace Engineering, University of California Davis, I Shields Avenue, Davis, CA 95616, USA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
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This study shows that individuals can learn to control a cursor using muscle signals from their wrist. This new Brain-Muscle-Computer Interface (BMCI) offers a promising avenue for assistive technology development.

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Rehabilitation Technology

Background:

  • Brain-Computer Interfaces (BCIs) traditionally use neural signals for control.
  • Previous research demonstrated cursor control using surface electromyography (sEMG) from head muscles.
  • Individualized frequency bands were previously required for effective sEMG-based cursor control.

Purpose of the Study:

  • To investigate the ability to control cursor movement using sEMG from a different muscle site.
  • To determine if individuals can adapt to preselected frequency bands for control.
  • To explore the feasibility of a novel Brain-Muscle-Computer Interface (BMCI) using wrist muscle activity.

Main Methods:

  • Utilized surface electromyography (sEMG) from the Extensor Pollicis Longus muscle.

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  • Subjects performed cursor-to-target tasks on a mobile phone interface.
  • Employed preselected, non-individualized frequency bands for sEMG signal processing.

    • Main Results:

    • Pilot data indicates successful cursor control using the Extensor Pollicis Longus.
    • After less than 30 minutes of training, accuracies reached up to 83%.
    • Performance improved post-training, with reduced time-to-target in two subjects.

    Conclusions:

    • Subjects can learn to control a BMCI using the Extensor Pollicis Longus muscle.
    • Adaptation to preselected frequency bands is feasible, simplifying interface design.
    • These findings support the potential of the Extensor Pollicis Longus for BMCI applications.