A Generic Error-related Potential Classifier Offers a Comparable Performance to a Personalized Classifier

Catarina Lopes-Dias, Andreea Ioana Sburlea, Gernot Müller-Putz*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Brain-computer interfaces (BCIs) provide more independence to people with severe motor disabilities but current BCIs' performance is still not optimal and often the user's intentions are misinterpreted. Error-related potentials (ErrPs) are the neurophysiological signature of error processing and their detection can help improving a BCI's performance.A major inconvenience of BCIs is that they commonly require a long calibration period, before the user can receive feedback of their own brain signals. Here, we use the data of 15 participants and compare the performance of a personalized ErrP classifier with a generic ErrP classifier. We concluded that there was no significant difference in classification performance between the generic and the personalized classifiers (Wilcoxon signed rank tests, two-sided and one-sided left and right). This results indicate that the use of a generic ErrP classifier is a good strategy to remove the calibration period of a ErrP classifier, allowing participants to receive immediate feedback of the ErrP detections.
Original languageEnglish
Title of host publication42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationEnabling Innovative Technologies for Global Healthcare, EMBC 2020
Pages2995-2998
Number of pages4
ISBN (Electronic)978-1-7281-1990-8
DOIs
Publication statusPublished - Jul 2020
Event42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: EMBC 2020 - Virtuell, Montreal, Canada
Duration: 20 Jul 202024 Jul 2020

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2020-July
ISSN (Print)1557-170X

Conference

Conference42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2020
CountryCanada
CityVirtuell, Montreal
Period20/07/2024/07/20

ASJC Scopus subject areas

  • Signal Processing
  • Health Informatics
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'A Generic Error-related Potential Classifier Offers a Comparable Performance to a Personalized Classifier'. Together they form a unique fingerprint.

Cite this