A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution-Pooling Method.

Zhang R, Zhou R, Zhong Z, Qi H, Wang Y

Open source

DOI
10.3390/s24227207
Published
2024 Nov 11
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s24227207,
  title = {A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution-Pooling Method.},
  author = {Zhang R and Zhou R and Zhong Z and Qi H and Wang Y},
  year = {2024},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s24227207},
  url = {https://doi.org/10.3390/s24227207}
}

RIS

TY  - JOUR
TI  - A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution-Pooling Method.
AU  - Zhang R
AU  - Zhou R
AU  - Zhong Z
AU  - Qi H
AU  - Wang Y
PY  - 2024
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s24227207
UR  - https://doi.org/10.3390/s24227207
ER  -

APA

R, Z., R, Z., Z, Z., H, Q., & Y, W. (2024). A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution-Pooling Method.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24227207

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