Event-driven ECG signal feature detection on single/multi-channel data via neuromorphic approach

Event-driven ECG signal feature detection on single/multi-channel data via neuromorphic approach

Cardiovascular diseases (CVDs) stand as the primary cause of death worldwide, highlighting the critical need for enhanced diagnostic tools for early detection and intervention. This project is dedicated to advancing Electrocardiogram (ECG) signal analysis by applying deep learning techniques, specif...

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Bibliographic Details
Main Author: Zhang, Li Zhu
Other Authors: Goh Wang Ling
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering
ECG
Online Access:https://hdl.handle.net/10356/177048

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