Neuromorphic Cardiac Sensing: A Bio-Inspired Spiking Neural Network with Sensory-Adaptive Encoding for Energy-Efficient Arrhythmia Detection from ECG and PPG Signals.
- DOI
- 10.3390/biomimetics11080543
- Published
- 2026 Aug 3
- Container
- Biomimetics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/biomimetics11080543,
title = {Neuromorphic Cardiac Sensing: A Bio-Inspired Spiking Neural Network with Sensory-Adaptive Encoding for Energy-Efficient Arrhythmia Detection from ECG and PPG Signals.},
author = {Ding C and Tian J},
year = {2026},
journal = {Biomimetics (Basel, Switzerland)},
doi = {10.3390/biomimetics11080543},
url = {https://doi.org/10.3390/biomimetics11080543}
}RIS
TY - JOUR TI - Neuromorphic Cardiac Sensing: A Bio-Inspired Spiking Neural Network with Sensory-Adaptive Encoding for Energy-Efficient Arrhythmia Detection from ECG and PPG Signals. AU - Ding C AU - Tian J PY - 2026 JO - Biomimetics (Basel, Switzerland) DO - 10.3390/biomimetics11080543 UR - https://doi.org/10.3390/biomimetics11080543 ER -
APA
C, D., & J, T. (2026). Neuromorphic Cardiac Sensing: A Bio-Inspired Spiking Neural Network with Sensory-Adaptive Encoding for Energy-Efficient Arrhythmia Detection from ECG and PPG Signals.. Biomimetics (Basel, Switzerland). https://doi.org/10.3390/biomimetics11080543
Source records
- pubmed · retrieved 2026-09-26T01:03:42.724Z