Can Machines Identify Pain Effects? A Machine Learning Proof of Concept to Identify EMG Pain Signature.

Becker K, Parolini F, Silva VP, Vilas-Boas JP, Graven-Nielsen T, Ervilha U, Goethel M

DOI: 10.3390/bioengineering13020141
Published: 2026 Jan 26
Container: Bioengineering (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bioengineering13020141,
  title = {Can Machines Identify Pain Effects? A Machine Learning Proof of Concept to Identify EMG Pain Signature.},
  author = {Becker K and Parolini F and Silva VP and Vilas-Boas JP and Graven-Nielsen T and Ervilha U and Goethel M},
  year = {2026},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering13020141},
  url = {https://doi.org/10.3390/bioengineering13020141}
}

RIS

TY  - JOUR
TI  - Can Machines Identify Pain Effects? A Machine Learning Proof of Concept to Identify EMG Pain Signature.
AU  - Becker K
AU  - Parolini F
AU  - Silva VP
AU  - Vilas-Boas JP
AU  - Graven-Nielsen T
AU  - Ervilha U
AU  - Goethel M
PY  - 2026
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering13020141
UR  - https://doi.org/10.3390/bioengineering13020141
ER  -

APA

K, B., F, P., VP, S., JP, V., T, G., U, E., & M, G. (2026). Can Machines Identify Pain Effects? A Machine Learning Proof of Concept to Identify EMG Pain Signature.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13020141

Source records

pubmed · retrieved 2026-09-26T17:26:44.749Z