PACAC: PYNQ Accelerated Cardiac Arrhythmia Classifier with secure transmission- A Deep Learning based Approach
Author:
Affiliation:
1. Electronics and Communication Engineering, NIT Rourkela, India
2. Electronics and Communication Engineering, NIT ROURKELA,INDIA, India
3. Electronics and Communication Engineering, NIT Rourkela, INDIA, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3649476.3660372
Reference23 articles.
1. 2023. Python implementation of Ascon available online at:. https://github.com/meichlseder/pyascon
2. 2024. AMD-Xilinx tools and software accessed from:. https://www.amd.com/en/corporate/university-program.html
3. 2024. Usage of PYNQ framework is available at:. https://www.pynq.io/
4. Islam S Artoli AM. Al-Jibreen A Al-Ahmadi S. 2024. Person identification with arrhythmic ECG signals using deep convolution neural network. Sci Rep. 2024 Feb 23;14(1):4431. (2024). https://doi.org/10.1038/s41598-024-55066-w. PMID: 38396036
5. Why information security is hard - an economic perspective
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