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Computer vision-based algorithm to sUppoRt coRrect electrode placemeNT (CURRENT) for home-based electric non-invasive

Fabienne Windel1, Rémy Marc M Gardier2, Gaspard Fourchard1

  • 1Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland; Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL Valais, Sion, Switzerland.

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|July 16, 2023
PubMed
Summary
This summary is machine-generated.

A new digital tool, CURRENT, aids patients in correctly placing electrodes for home-based non-invasive brain stimulation (NIBS). This technology improves accuracy and confidence for self-administered treatments, enhancing patient care.

Keywords:
Computer visionElectrode localization algorithmHome-based non-invasive brain stimulationMonitoringReal-time feedbacktES

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Digital Health

Background:

  • Home-based non-invasive brain stimulation (NIBS) is a promising adjunct therapy for neuropsychiatric disorders.
  • Accurate electrode placement is critical for effective NIBS but challenging for self-application.
  • Current solutions for guiding electrode placement during home-based NIBS are lacking.

Purpose of the Study:

  • To develop and evaluate a user-friendly digital tool (CURRENT) for accurate self-placement of NIBS electrodes.
  • To assess the usability and effectiveness of the CURRENT tool in supporting patients for home-based NIBS.

Main Methods:

  • 36 healthy participants were recruited to compare their electrode cap placement accuracy.
  • Placement accuracy was assessed before and after expert guidance, and with the CURRENT tool.
  • User experience and confidence in placement were evaluated using subjective measures.

Main Results:

  • The CURRENT tool significantly reduced placement deviation compared to unassisted pre-placement (p=0.02).
  • Participants reported high satisfaction with the tool's ease of use and usefulness (8.04/10).
  • The tool ensured placement within the recommended 10mm deviation and boosted user confidence.

Conclusions:

  • The CURRENT digital tool demonstrates high usability for correct electrode placement in home-based NIBS self-application.
  • This technology facilitates safe and effective self-administered NIBS, potentially increasing treatment accessibility.
  • CURRENT supports the integration of high-frequency, home-based NIBS into patients' daily routines.