Design and Implementation of a AED System Using Multi-resolution WT
A new Approach for ECG Medical Software Development
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Automated ECG diagnosis (AED) & classification is essential to the timely diagnosis of potentially lethal heart conditions in clinical settings. In noisy environment, ECG feature extraction problem with considerable accuracy still remains open for research. Although, Wavelet Transform (WT) has been proved to be more prominent approach than other conventional detection algorithms, but much abstruse to implement in commercial medical software. To reduce this implementation complexity, in this work, a combination of DWT and FFT-IFFT pair is proposed with Adaptive thresholding technique. MATLAB an...
Automated ECG diagnosis (AED) & classification is essential to the timely diagnosis of potentially lethal heart conditions in clinical settings. In noisy environment, ECG feature extraction problem with considerable accuracy still remains open for research. Although, Wavelet Transform (WT) has been proved to be more prominent approach than other conventional detection algorithms, but much abstruse to implement in commercial medical software. To reduce this implementation complexity, in this work, a combination of DWT and FFT-IFFT pair is proposed with Adaptive thresholding technique. MATLAB analysis supports this preprocessing and automatic detection idea in terms of accuracy. A software implementation of this AED system is presented here in .net framework which can be interfaced with any commercial ECG machine only by changing some parameters.
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