Machine Learning-Based Self-Induced Scratch Intensity Detection Using Feature Optimization and Multi-Channel Electromyogram Signals for Prevention of Lichenification.

Cheema MO, Akhlaq A, Din ZMU, Aishan AA, Guesmi HA, Gul JZ

Open source

DOI
10.3390/bioengineering13070787
Published
2026 Jul 8
Container
Bioengineering (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/bioengineering13070787,
  title = {Machine Learning-Based Self-Induced Scratch Intensity Detection Using Feature Optimization and Multi-Channel Electromyogram Signals for Prevention of Lichenification.},
  author = {Cheema MO and Akhlaq A and Din ZMU and Aishan AA and Guesmi HA and Gul JZ},
  year = {2026},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering13070787},
  url = {https://doi.org/10.3390/bioengineering13070787}
}

RIS

TY  - JOUR
TI  - Machine Learning-Based Self-Induced Scratch Intensity Detection Using Feature Optimization and Multi-Channel Electromyogram Signals for Prevention of Lichenification.
AU  - Cheema MO
AU  - Akhlaq A
AU  - Din ZMU
AU  - Aishan AA
AU  - Guesmi HA
AU  - Gul JZ
PY  - 2026
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering13070787
UR  - https://doi.org/10.3390/bioengineering13070787
ER  -

APA

MO, C., A, A., ZMU, D., AA, A., HA, G., & JZ, G. (2026). Machine Learning-Based Self-Induced Scratch Intensity Detection Using Feature Optimization and Multi-Channel Electromyogram Signals for Prevention of Lichenification.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13070787

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