POCA: a CPG signal analysis algorithm using peak-based feature extraction and machine learning.

Han X, Taccola G, Culaclii S, Mohammadshirazi A, Chen YP, Liu W

DOI: 10.3389/fnins.2026.1740554
Published: 2026
Container: Frontiers in neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2026.1740554,
  title = {POCA: a CPG signal analysis algorithm using peak-based feature extraction and machine learning.},
  author = {Han X and Taccola G and Culaclii S and Mohammadshirazi A and Chen YP and Liu W},
  year = {2026},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2026.1740554},
  url = {https://doi.org/10.3389/fnins.2026.1740554}
}

RIS

TY  - JOUR
TI  - POCA: a CPG signal analysis algorithm using peak-based feature extraction and machine learning.
AU  - Han X
AU  - Taccola G
AU  - Culaclii S
AU  - Mohammadshirazi A
AU  - Chen YP
AU  - Liu W
PY  - 2026
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2026.1740554
UR  - https://doi.org/10.3389/fnins.2026.1740554
ER  -

APA

X, H., G, T., S, C., A, M., YP, C., & W, L. (2026). POCA: a CPG signal analysis algorithm using peak-based feature extraction and machine learning.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2026.1740554

Source records

pubmed · retrieved 2026-09-26T21:02:29.595Z