Deep neural network model for hypertension risk level detection using ECG signal
Background and Objectives: Early detection of hypertension risk is crucial as it affects about 1 in 4 adults and accounts for about half of all heart diseases and stroke-related deaths globally. Traditionally, assessments can be time-consuming and prone to human error. This study proposes an Elec...
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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/10356/175003 |