Machine learning based classification of intraoperative EMG signals recorded during brain tumor surgeries: a pooled data approach for large-scale analysis and real-time applications.
- DOI
- 10.1080/10255842.2026.2670517
- Published
- 2026 May 12
- Container
- Computer methods in biomechanics and biomedical engineering
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/10255842.2026.2670517,
title = {Machine learning based classification of intraoperative EMG signals recorded during brain tumor surgeries: a pooled data approach for large-scale analysis and real-time applications.},
author = {Çil A and Aydın EH and Aydemir Ö},
year = {2026},
journal = {Computer methods in biomechanics and biomedical engineering},
doi = {10.1080/10255842.2026.2670517},
url = {https://doi.org/10.1080/10255842.2026.2670517}
}RIS
TY - JOUR TI - Machine learning based classification of intraoperative EMG signals recorded during brain tumor surgeries: a pooled data approach for large-scale analysis and real-time applications. AU - Çil A AU - Aydın EH AU - Aydemir Ö PY - 2026 JO - Computer methods in biomechanics and biomedical engineering DO - 10.1080/10255842.2026.2670517 UR - https://doi.org/10.1080/10255842.2026.2670517 ER -
APA
A, Ç., EH, A., & Ö, A. (2026). Machine learning based classification of intraoperative EMG signals recorded during brain tumor surgeries: a pooled data approach for large-scale analysis and real-time applications.. Computer methods in biomechanics and biomedical engineering. https://doi.org/10.1080/10255842.2026.2670517
Source records
- pubmed · retrieved 2026-11-10T13:46:58.998Z