ResNet1D-Based Personal Identification with Multi-Session Surface Electromyography for Electronic Health Record Integration.

Ganiga R, S N M, Choi W, Pan S

DOI: 10.3390/s24103140
Published: 2024 May 15
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s24103140,
  title = {ResNet1D-Based Personal Identification with Multi-Session Surface Electromyography for Electronic Health Record Integration.},
  author = {Ganiga R and S N M and Choi W and Pan S},
  year = {2024},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s24103140},
  url = {https://doi.org/10.3390/s24103140}
}

RIS

TY  - JOUR
TI  - ResNet1D-Based Personal Identification with Multi-Session Surface Electromyography for Electronic Health Record Integration.
AU  - Ganiga R
AU  - S N M
AU  - Choi W
AU  - Pan S
PY  - 2024
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s24103140
UR  - https://doi.org/10.3390/s24103140
ER  -

APA

R, G., M, S. N., W, C., & S, P. (2024). ResNet1D-Based Personal Identification with Multi-Session Surface Electromyography for Electronic Health Record Integration.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24103140

Source records

pubmed · retrieved 2026-09-25T01:43:43.340Z