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.

Détails bibliographiques
Auteurs principaux: Zishan, Md Abu Obaida, Shihab, H M, Rahman, Gazi Mashrur, Islam, Sabik Sadman, Riya, Maliha Alam
Autres auteurs: Mukta, Jannatun Noor
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
ECG
Arrhythmia
Low-cost
Low-compute
Low-power
Machine learning
Micro-controller
Cognitive learning theory (Deep learning)
Accès en ligne:http://hdl.handle.net/10361/22018

Internet

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

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