Adaptive ECG Wavelet analysis for R-peaks detection
| Autor: | Abdennasser Bourouhou, Mounaim Aqil, Atman Jbari |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Discrete wavelet transform
Scale (ratio) Computer science business.industry 010102 general mathematics Feature extraction 020206 networking & telecommunications Pattern recognition 02 engineering and technology 01 natural sciences Wavelet Continuous wavelet 0202 electrical engineering electronic engineering information engineering cardiovascular diseases Artificial intelligence 0101 mathematics Ecg signal business Energy (signal processing) Continuous wavelet transform |
| Zdroj: | 2016 International Conference on Electrical and Information Technologies (ICEIT). |
| Popis: | The Electrocardiogram has been established as a powerful diagnostic tool in medicine which provides important information about the patient's heart condition. The feature extraction of ECG such as R-peak detection is highly useful in cardiology. Continuous Wavelet transform based methods present best performance as irregularity measures and makes them suitable for ECG data analysis. In this work we propose a new method for R-peak detection based on continuous wavelet coefficients. The core of our method is to select automatically the analysis scale corresponding to maximum energy of ECG signal instead to consider all scales. In order to validate this method we apply it to several from apnea's database records. This new algorithm can be used to extract other features of ECG signals. |
| Databáze: | OpenAIRE |
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