Ischemia Detection Based on ST Segment Level using Wavelet Transform
| Autor: | M. El hanine, Rachid Haddadi, Elhassane Abdelmounim, A. Belaguid |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Discrete wavelet transform
021110 strategic defence & security studies Heartbeat business.industry Computer science 0211 other engineering and technologies Wavelet transform 020206 networking & telecommunications Pattern recognition 02 engineering and technology Wavelet packet decomposition QRS complex Line (geometry) 0202 electrical engineering electronic engineering information engineering Preprocessor ST segment Artificial intelligence business |
| Zdroj: | Proceedings of the 2nd International Conference on Computing and Wireless Communication Systems. |
| DOI: | 10.1145/3167486.3167540 |
| Popis: | In this work, we present an algorithm for detection of myocardial Ischemia in electrocardiogram (ECG) based on the identification of the isoelectric line and ST segment deviation. During the preprocessing stage, Wavelet Packet Transform WPT is used to remove the baseline wander and power line interference (PLI) in the ECG signal. To locate the positions of the heartbeat waves (QRS complex, P wave, and T wave), the decomposition is used with Discrete Wavelet Transform (DWT) up to level 8. ST segment level was estimated based on the isoelectric level. The algorithm was evaluated against The Long-Term ST Database (LTSTDB). |
| Databáze: | OpenAIRE |
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