---
_id: '38059'
abstract:
- lang: eng
  text: Advances in EEG filtering algorithms enable analysis of EEG recorded during
    motor tasks. Although methods such as artifact subspace reconstruction (ASR) can
    remove transient artifacts automatically, there is virtually no knowledge about
    how the vigor of bodily movements affects ASRs performance and optimal cut-off
    parameter selection process. We compared the ratios of removed and reconstructed
    EEG recorded during a cognitive task, single-leg stance, and fast walking using
    ASR with 10 cut-off parameters versus visual inspection. Furthermore, we used
    the repeatability and dipolarity of independent components to assess their quality
    and an automatic classification tool to assess the number of brain-related independent
    components. The cut-off parameter equivalent to the ratio of EEG removed in manual
    cleaning was strictest for the walking task. The quality index of independent
    components, calculated using RELICA, reached a maximum plateau for cut-off parameters
    of 10 and higher across all tasks while dipolarity was largely unaffected. The
    number of independent components within each task remained constant, regardless
    of the cut-off parameter used. Surprisingly, ASR performed better in motor tasks
    compared with non-movement tasks. The quality index seemed to be more sensitive
    to changes induced by ASR compared to dipolarity. There was no benefit of using
    cut-off parameters less than 10.</jats:p>
author:
- first_name: Phillipp
  full_name: Anders, Phillipp
  last_name: Anders
- first_name: Helen Martha
  full_name: Müller, Helen Martha
  id: '40188'
  last_name: Müller
- first_name: Nina
  full_name: Skjæret-Maroni, Nina
  last_name: Skjæret-Maroni
- first_name: Beatrix
  full_name: Vereijken, Beatrix
  last_name: Vereijken
- first_name: Jochen
  full_name: Baumeister, Jochen
  id: '46'
  last_name: Baumeister
  orcid: 0000-0003-2683-5826
citation:
  ama: Anders P, Müller HM, Skjæret-Maroni N, Vereijken B, Baumeister J. The influence
    of motor tasks and cut-off parameter selection on artifact subspace reconstruction
    in EEG recordings. <i>Medical &#38; Biological Engineering &#38; Computing</i>.
    2020;58(11):2673-2683. doi:<a href="https://doi.org/10.1007/s11517-020-02252-3">10.1007/s11517-020-02252-3</a>
  apa: Anders, P., Müller, H. M., Skjæret-Maroni, N., Vereijken, B., &#38; Baumeister,
    J. (2020). The influence of motor tasks and cut-off parameter selection on artifact
    subspace reconstruction in EEG recordings. <i>Medical &#38; Biological Engineering
    &#38; Computing</i>, <i>58</i>(11), 2673–2683. <a href="https://doi.org/10.1007/s11517-020-02252-3">https://doi.org/10.1007/s11517-020-02252-3</a>
  bibtex: '@article{Anders_Müller_Skjæret-Maroni_Vereijken_Baumeister_2020, title={The
    influence of motor tasks and cut-off parameter selection on artifact subspace
    reconstruction in EEG recordings}, volume={58}, DOI={<a href="https://doi.org/10.1007/s11517-020-02252-3">10.1007/s11517-020-02252-3</a>},
    number={11}, journal={Medical &#38; Biological Engineering &#38; Computing}, publisher={Springer
    Science and Business Media LLC}, author={Anders, Phillipp and Müller, Helen Martha
    and Skjæret-Maroni, Nina and Vereijken, Beatrix and Baumeister, Jochen}, year={2020},
    pages={2673–2683} }'
  chicago: 'Anders, Phillipp, Helen Martha Müller, Nina Skjæret-Maroni, Beatrix Vereijken,
    and Jochen Baumeister. “The Influence of Motor Tasks and Cut-off Parameter Selection
    on Artifact Subspace Reconstruction in EEG Recordings.” <i>Medical &#38; Biological
    Engineering &#38; Computing</i> 58, no. 11 (2020): 2673–83. <a href="https://doi.org/10.1007/s11517-020-02252-3">https://doi.org/10.1007/s11517-020-02252-3</a>.'
  ieee: 'P. Anders, H. M. Müller, N. Skjæret-Maroni, B. Vereijken, and J. Baumeister,
    “The influence of motor tasks and cut-off parameter selection on artifact subspace
    reconstruction in EEG recordings,” <i>Medical &#38; Biological Engineering &#38;
    Computing</i>, vol. 58, no. 11, pp. 2673–2683, 2020, doi: <a href="https://doi.org/10.1007/s11517-020-02252-3">10.1007/s11517-020-02252-3</a>.'
  mla: Anders, Phillipp, et al. “The Influence of Motor Tasks and Cut-off Parameter
    Selection on Artifact Subspace Reconstruction in EEG Recordings.” <i>Medical &#38;
    Biological Engineering &#38; Computing</i>, vol. 58, no. 11, Springer Science
    and Business Media LLC, 2020, pp. 2673–83, doi:<a href="https://doi.org/10.1007/s11517-020-02252-3">10.1007/s11517-020-02252-3</a>.
  short: P. Anders, H.M. Müller, N. Skjæret-Maroni, B. Vereijken, J. Baumeister, Medical
    &#38; Biological Engineering &#38; Computing 58 (2020) 2673–2683.
date_created: 2023-01-23T10:13:07Z
date_updated: 2023-03-13T15:05:11Z
department:
- _id: '17'
- _id: '172'
doi: 10.1007/s11517-020-02252-3
intvolume: '        58'
issue: '11'
keyword:
- Computer Science Applications
- Biomedical Engineering
language:
- iso: eng
page: 2673-2683
publication: Medical & Biological Engineering & Computing
publication_identifier:
  issn:
  - 0140-0118
  - 1741-0444
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: The influence of motor tasks and cut-off parameter selection on artifact subspace
  reconstruction in EEG recordings
type: journal_article
user_id: '46'
volume: 58
year: '2020'
...