… In recent years, Wavelet analysis has been used to detect characteristic points of ECG signals
because of its simultaneous and better time and frequency domain analysis capabilities [8]…

… diagnostic systems in health care are essential for better health … , feature extraction, and
classification techniques are three stages used to analyze short time recordings of an ECG signal…

… use wavelet transform to filter ECG signals and cooperate with DCNN for feature extraction.
… For the ECG data, this paper designs a DCNN for feature extraction. Compared with the …

… The application this case study focused on was for improved supraventricular arrhythmia
analysis. The challenges posed with arrhythmia detection and classification are due to the …

… , the feature extraction and classification of ECG signals were conducted and … used in ECG
analysis are tabulated in Table 1. The number and the type of ECG beats used in the analysis …

… Therefore, there is a need to improve ECG signal analysis further to make it confirmatory,
providing benefits such as early detection of heart diseases, inexpensive alternative to the …

… wavelet coefficients with 4 level DWT were found to provide better results than detailed wavelet
… filters were used as feature vectors for classification. From MIT-BIH arrhythmia database …

… Wavelet Transformc called Dual-Tree Complex Wavelet Transform (Dual-Tree (CWT)) method
is utilized to denoise the noisy ECG signal and extract … , and an increase in Signal to Noise …

… methodology along with ECG database, preprocessing, feature extraction, PCA and … of
higher filter order in critical situations which increase circuit components, a slow response …

… on ECG signal recognition based on acoustic feature extraction … are proposed for recognizing
the ECG heart sound as well as for … the ECG signals are enhanced to minimize the signal …