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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177048 |