Electrocardiogram signal based sudden cardiac arrest prediction using machine learning approaches
This thesis focuses on predicting occurrence of imminent sudden cardiac arrest (SCA) using heart rate variability (HRV) and electrocardiogram (ECG) signals. Sudden cardiac death (SCD) is a devastating cardiovascular disease that responsible for millions of deaths per year. SCD occurs when SCA went...
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| Format: | Thesis |
| Language: | English |
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Universiti Malaysia Perlis (UniMAP)
2019
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| Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61540 |
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