Preprocessing on the Go: Practices in Gait-Related Mobile EEG.
The 9 matches
- [1] § Methods › Literature Search ↔ utils/article_fetcher.py, lines 6–39 · score 0.72 · Medical Subject Headings, MeSH, retrieved, query, articles, keywords
- [2] § Results › Overview of Preprocessing Steps ↔ scripts/fig3_stepsnetwork.py, lines 34–43 · score 0.71 · IC decomposition, IC rejection, post ICA, pass filtering, artifact rejection, ERS
- [3] § Results › Overview of Preprocessing Steps ↔ scripts/figB_outcome_stepsnetwork.py, lines 53–68 · score 0.71 · IC decomposition, IC rejection, post ICA, pass filtering, artifact rejection, ERS
- [4] § Methods › Defining Preprocessing Steps ↔ dataframe_plots.ipynb, lines 860–895 · score 0.67 · highpass_filter, Post ICA, Pre ICA Signal, Raw, keywords, Preprocessing
- [5] § Results › Overview of Preprocessing Steps ↔ scripts/fig3_stepsnetwork.py, lines 34–43 · score 0.63 · notch filter, IC rejection, low pass filtering, Artifact rejection, ICA, preprocessing
- [6] § Results › Overview of Preprocessing Steps ↔ dataframe_plots.ipynb, lines 469–486 · score 0.63 · notch filter, IC rejection, low pass filtering, Artifact rejection, ICA, preprocessing
- [7] § Results › Study Cohorts and Gait Tasks ↔ dataframe_plots.ipynb, lines 324–382 · score 0.63 · overground walking, Treadmill walking, healthy adults, patients, paradigm, cohorts
- [8] § Results › Study Cohorts and Gait Tasks ↔ scripts/fig1_cohort_task.py, lines 13–20 · score 0.57 · PD clinical cohorts, PwPD
- [9] § Results › Study Cohorts and Gait Tasks ↔ scripts/fig1_cohort_task.py, lines 13–20 · score 0.53 · PD clinical cohorts, PwPD, HA
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
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The authors' code
Jupyter notebook · 974 lines · 1.3 MB · no license · 3 matches
dataframe_plots.ipynb at commit 7508375, no license · at the source
Overview
- Department of Neurology, University Hospital Schleswig‐Holstein Campus Kiel and Kiel University, Kiel, Germany
- Neuropsychology Lab, Department of Psychology, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
Abstract
Mobile EEG has become popular in investigating brain dynamics during gait in recent years. Within this development, new preprocessing pipelines have been introduced and refined. The diversity of approaches, however, complicates comparisons across studies. To provide clarity, we reviewed studies that combined mobile EEG with gait measurements to map the preprocessing pipelines used in the field. Our review identified substantial heterogeneity in pipeline steps, their order, combinations, and the level of reporting detail. We visualized this heterogeneity as a map, tracing pathways from raw data to outcomes such as Power spectral density (PSD), Event‐related spectral perturbations (ERSP), Event‐related (de‐) synchronization (ERD/
Reproduced under the paper's license (CC BY), from the paper cited above.
Repositories
Its files are read in the Code ↔ Paper reader above, with 9 matches between paragraphs and lines of code.
vaishalivinod/LitExtract
7508375060633e3369520e33f2affb2b6e6411e0, 10 April 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
18 files, not copied: shown from their source
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- scripts/
clean_elicitdatacsv.py — Python, 69 lines, shown from its source - scripts/
extractmethods.py — Python, 4 lines, shown from its source - scripts/
fig1_cohort_task.py — Python, 93 lines, shown from its source - scripts/
fig2_eegelec_gait.py — Python, 93 lines, shown from its source - scripts/
fig3_stepsnetwork.py — Python, 285 lines, shown from its source - scripts/
fig4_artifactrej.py — Python, 106 lines, shown from its source - scripts/
figB_outcome_stepsnetwor — Python, 421 lines, shown from its sourcek.py - scripts/
filter_researcharticles. — Python, 6 lines, shown from its sourcepy - scripts/
retrieve_articles.py — Python, 29 lines, shown from its source - utils/
__init__.py — Python, 1 line, shown from its source - utils/
article_fetcher.py — Python, 229 lines, shown from its source - utils/
cleandata.py — Python, 50 lines, shown from its source - utils/
config.py — Python, 23 lines, shown from its source - utils/
log_search.py — Python, 18 lines, shown from its source - utils/
methodstext.py — Python, 87 lines, shown from its source - utils/
saveas.py — Python, 49 lines, shown from its source - README.md — Text, 49 lines, shown from its source
neurogeriatricskiel/LitExtract
7508375060633e3369520e33f2affb2b6e6411e0, 10 April 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
18 files, not copied: shown from their source
OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit 7508375, when its fingerprint is the one OSCR verified. How this works.
- dataframe_plots.ipynb — Jupyter, 974 lines, 3 matches, shown from its source
- scripts/
clean_elicitdatacsv.py — Python, 69 lines, shown from its source - scripts/
extractmethods.py — Python, 4 lines, shown from its source - scripts/
fig1_cohort_task.py — Python, 93 lines, 2 matches, shown from its source - scripts/
fig2_eegelec_gait.py — Python, 93 lines, shown from its source - scripts/
fig3_stepsnetwork.py — Python, 285 lines, 2 matches, shown from its source - scripts/
fig4_artifactrej.py — Python, 106 lines, shown from its source - scripts/
figB_outcome_stepsnetwor — Python, 421 lines, 1 match, shown from its sourcek.py - scripts/
filter_researcharticles. — Python, 6 lines, shown from its sourcepy - scripts/
retrieve_articles.py — Python, 29 lines, shown from its source - utils/
__init__.py — Python, 1 line, shown from its source - utils/
article_fetcher.py — Python, 229 lines, 1 match, shown from its source - utils/
cleandata.py — Python, 50 lines, shown from its source - utils/
config.py — Python, 23 lines, shown from its source - utils/
log_search.py — Python, 18 lines, shown from its source - utils/
methodstext.py — Python, 87 lines, shown from its source - utils/
saveas.py — Python, 49 lines, shown from its source - README.md — Text, 49 lines, shown from its source
The paper's code and data availability statement is in the Data section.
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- 9 matches between paragraphs of the paper and lines of the code (method lexical-v1);
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Data Availability Statement
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Version 2, 28 September 2026
- Publisher: — → Wiley
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 keywords, 5 MeSH terms, 1 funder, 74 references.
Cite
This paper
Vinod, V., Papin, L. J., Romijnders, R., Maetzler, W., & Welzel, J. (2026). Preprocessing on the Go: Practices in Gait-Related Mobile EEG. Psychophysiology, 63(6), e70352. https://
BibTeX
@article{vinod2026prepro
author = {Vinod, Vaishali and Papin, Lara Johanna and Romijnders, Robbin and Maetzler, Walter and Welzel, Julius},
title = {{Preprocessing on the Go: Practices in Gait-Related Mobile EEG}},
journal = {Psychophysiology},
year = {2026},
month = jun,
volume = {63},
number = {6},
pages = {e70352},
publisher = {Wiley},
issn = {0048-5772},
doi = {10.1111/
url = {https://
pmid = {42347764},
pmcid = {PMC13296838}
}
RIS
TY - JOUR
AU - Vinod, Vaishali
AU - Papin, Lara Johanna
AU - Romijnders, Robbin
AU - Maetzler, Walter
AU - Welzel, Julius
TI - Preprocessing on the Go: Practices in Gait-Related Mobile EEG
T2 - Psychophysiology
J2 - Psychophysiology
PY - 2026
DA - 2026/
VL - 63
IS - 6
SP - e70352
SN - 0048-5772
PB - Wiley
DO - 10.1111/
UR - https://
LA - en
ER -
CSL-JSON
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