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The QRS complex detection methods have been extensively studied over the past several decades, and the current common QRS detection algorithms can achieve high detection accuracy on the open-access ECG database. Although massive of researches exist on the performance of QRS detectors, the effect of the ECG signal gain is usually ignored and did not attract researchers' attentions in the past studies...
This paper presents an investigation into the development of an efficient scheme to detect abnormal beat from lead II Electro Cardio Gram (ECG) signals. Firstly, a fast ECG feature extraction algorithm was proposed which could extract the locations, amplitudes waves and interval from lead II ECG signal. We then created 11 customized features based on the outputs of the feature extraction algorithm...
This paper presents a method to automatically detect atrial fibrillation (AF) based on the scatter plot of R-R interval signal. R-R intervals of AF are absolutely irregular, which are different from those of normal ECG. Scatter plot of R-R interval signal is illustrated here and characteristic indexes are extracted from the plot, i.e. VAI, VLI, SD1, and SD2. Algorithm test using AF Termination Challenge...
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