Comprehensive benchmarking of EEG biomarkers for Parkinson's disease: robustness, reliability, and clinical discriminability across multiple datasets.
- DOI
- 10.1088/1741-2552/aebe69
- Published
- 2026 Nov 5
- Container
- Journal of neural engineering
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/1741-2552/aebe69,
title = {Comprehensive benchmarking of EEG biomarkers for Parkinson's disease: robustness, reliability, and clinical discriminability across multiple datasets.},
author = {Hajipour Sardouie S and Naseri M and Babaei M and Kavian Z and Mehrtash S and Faramarzi MH and Mirian MS and McKeown MJ},
year = {2026},
journal = {Journal of neural engineering},
doi = {10.1088/1741-2552/aebe69},
url = {https://doi.org/10.1088/1741-2552/aebe69}
}RIS
TY - JOUR TI - Comprehensive benchmarking of EEG biomarkers for Parkinson's disease: robustness, reliability, and clinical discriminability across multiple datasets. AU - Hajipour Sardouie S AU - Naseri M AU - Babaei M AU - Kavian Z AU - Mehrtash S AU - Faramarzi MH AU - Mirian MS AU - McKeown MJ PY - 2026 JO - Journal of neural engineering DO - 10.1088/1741-2552/aebe69 UR - https://doi.org/10.1088/1741-2552/aebe69 ER -
APA
S, H. S., M, N., M, B., Z, K., S, M., MH, F., MS, M., & MJ, M. (2026). Comprehensive benchmarking of EEG biomarkers for Parkinson's disease: robustness, reliability, and clinical discriminability across multiple datasets.. Journal of neural engineering. https://doi.org/10.1088/1741-2552/aebe69
Source records
- pubmed · retrieved 2026-11-10T10:42:35.973Z