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- W4285609085 abstract "The electrocardiogram (ECG) is a powerful diagnostic tool for attaining physiological signals. It can detect a wide range of information about a patient’s pathophysiological individual state. A wavelet transform (WT) based method is introduced in this paper to analyze ECG signals. Reviewing the theory behind ECG and WT as well as identifying and summarizing the potential applications for applying WT to examine ECG are also done in this paper. Moreover, an algorithm is applied on the basis of WT to perform ECG beat segmentation and subsequently extract useful clinical parameters. ECG data from the physio-net as well as real patient data will be tested with this algorithm. The results demonstrate that even subtle changes in the ECG from synthetic data can be detected through the algorithm. Afterwards, the performed test data will be compared with previous work. So, this newly introduced system has become reliable and significant for biomedical research." @default.
- W4285609085 created "2022-07-16" @default.
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- W4285609085 date "2022-05-27" @default.
- W4285609085 modified "2023-09-26" @default.
- W4285609085 title "Data Extraction from an Electrocardiogram Signal and QRS Peak Detection Employing Wavelet-Based Approach" @default.
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- W4285609085 doi "https://doi.org/10.1109/incet54531.2022.9824913" @default.
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