Methods for motion artifact reduction in online brain-computer interface experiments: a systematic review

Mathias Schmoigl-Tonis, Christoph Schranz, Gernot R. Müller-Putz*

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftReview eines Fachbereichs (Review article)Begutachtung

Abstract

Brain-computer interfaces (BCIs) have emerged as a promising technology for enhancing communication between the human brain and external devices. Electroencephalography (EEG) is particularly promising in this regard because it has high temporal resolution and can be easily worn on the head in everyday life. However, motion artifacts caused by muscle activity, fasciculation, cable swings, or magnetic induction pose significant challenges in real-world BCI applications. In this paper, we present a systematic review of methods for motion artifact reduction in online BCI experiments. Using the PRISMA filter method, we conducted a comprehensive literature search on PubMed, focusing on open access publications from 1966 to 2022. We evaluated 2,333 publications based on predefined filtering rules to identify existing methods and pipelines for motion artifact reduction in EEG data. We present a lookup table of all papers that passed the defined filters, all used methods, and pipelines and compare their overall performance and suitability for online BCI experiments. We summarize suitable methods, algorithms, and concepts for motion artifact reduction in online BCI applications, highlight potential research gaps, and discuss existing community consensus. This review aims to provide a comprehensive overview of the current state of the field and guide researchers in selecting appropriate methods for motion artifact reduction in online BCI experiments.

Originalspracheenglisch
Aufsatznummer1251690
FachzeitschriftFrontiers in Human Neuroscience
Jahrgang17
Frühes Online-Datum11 Sept. 2023
DOIs
PublikationsstatusVeröffentlicht - 18 Okt. 2023

ASJC Scopus subject areas

  • Neuropsychologie und Physiologische Psychologie
  • Neurologie
  • Psychiatrie und psychische Gesundheit
  • Biologische Psychiatrie
  • Behaviorale Neurowissenschaften

Kooperationen

  • BioTechMed-Graz

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