Deep learning based arrhythmia classification on low-cost and low-compute MCU

Deep learning based arrhythmia classification on low-cost and low-compute MCU

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

书目详细资料
Main Authors: Zishan, Md Abu Obaida, Shihab, H M, Rahman, Gazi Mashrur, Islam, Sabik Sadman, Riya, Maliha Alam
其他作者: Mukta, Jannatun Noor
格式: Thesis
语言:English
出版: Brac University 2023
主题:
ECG
Arrhythmia
Low-cost
Low-compute
Low-power
Machine learning
Micro-controller
Cognitive learning theory (Deep learning)
在线阅读:http://hdl.handle.net/10361/22018

因特网

http://hdl.handle.net/10361/22018

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