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

Details

Serval ID
serval:BIB_38D7809D4B0C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Computer vision-based algorithm to sUppoRt coRrect electrode placemeNT (CURRENT) for home-based electric non-invasive brain stimulation.
Journal
Clinical neurophysiology
Author(s)
Windel F., Gardier RMM, Fourchard G., Viñals R., Bavelier D., Padberg F.J., Rancans E., Bonne O., Nahum M., Thiran J.P., Morishita T., Hummel F.C.
ISSN
1872-8952 (Electronic)
ISSN-L
1388-2457
Publication state
Published
Issued date
09/2023
Peer-reviewed
Oui
Volume
153
Pages
57-67
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Home-based non-invasive brain stimulation (NIBS) has been suggested as an adjunct treatment strategy for neuro-psychiatric disorders. There are currently no available solutions to direct and monitor correct placement of the stimulation electrodes. To address this issue, we propose an easy-to-use digital tool to support patients for self-application.
We recruited 36 healthy participants and compared their cap placement performance with the one of a NIBS-expert investigator. We tested participants' placement accuracy with instructions before (Pre) and after the investigator's placement (Post), as well as participants using the support tool (CURRENT). User experience (UX) and confidence were further evaluated.
Permutation tests demonstrated a smaller deviation within the CURRENT compared with Pre cap placement (p = 0.02). Subjective evaluation of ease of use and usefulness of the tool were vastly positive (8.04 out of 10). CURRENT decreased the variability of performance, ensured placement within the suggested maximum of deviation (10 mm) and supported confidence of correct placement.
This study supports the usability of this novel technology for correct electrode placement during self-application in home-based settings.
CURRENT provides an exciting opportunity to promote home-based, self-applied NIBS as a safe, high-frequency treatment strategy that can be well integrated in patients' daily lives.
Keywords
Humans, Transcranial Direct Current Stimulation, Brain/physiology, Electrodes, Electric Stimulation, Computers, Computer vision, Electrode localization algorithm, Home-based non-invasive brain stimulation, Monitoring, Real-time feedback, tES
Pubmed
Web of science
Open Access
Yes
Create date
21/07/2023 9:50
Last modification date
19/12/2023 8:13
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