An Energy-Efficient ECG Processor With Ultra-Low-Parameter Multistage Neural Network and Optimized Power-of-Two Quantization.
- DOI
- 10.1109/tbcas.2024.3385993
- Published
- 2024 Dec
- Container
- IEEE transactions on biomedical circuits and systems
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/tbcas.2024.3385993,
title = {An Energy-Efficient ECG Processor With Ultra-Low-Parameter Multistage Neural Network and Optimized Power-of-Two Quantization.},
author = {Zhang Z and Guan Y and Ye W},
year = {2024},
journal = {IEEE transactions on biomedical circuits and systems},
doi = {10.1109/tbcas.2024.3385993},
url = {https://doi.org/10.1109/tbcas.2024.3385993}
}RIS
TY - JOUR TI - An Energy-Efficient ECG Processor With Ultra-Low-Parameter Multistage Neural Network and Optimized Power-of-Two Quantization. AU - Zhang Z AU - Guan Y AU - Ye W PY - 2024 JO - IEEE transactions on biomedical circuits and systems DO - 10.1109/tbcas.2024.3385993 UR - https://doi.org/10.1109/tbcas.2024.3385993 ER -
APA
Z, Z., Y, G., & W, Y. (2024). An Energy-Efficient ECG Processor With Ultra-Low-Parameter Multistage Neural Network and Optimized Power-of-Two Quantization.. IEEE transactions on biomedical circuits and systems. https://doi.org/10.1109/tbcas.2024.3385993
Source records
- pubmed · retrieved 2026-09-26T01:19:14.391Z
- europe-pmc · retrieved 2026-09-26T01:19:14.393Z