Postulate 发表于 2025-3-27 00:48:24
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K. Klinkeeprocessing and features extractions are crucial for the efficiency of CVD detection. In this paper, we proposed the novel framework of CVD detection of Q, R, S, T beats efficiently from the pre-processed ECG signal. From the pre-processed ECG signal, our aim is to extract QRS and ST segments usingchuckle 发表于 2025-3-27 16:27:57
R. Thurau,W. Courtin,F. Eckardtthe extreme learning machine (ELM) classifiers. The system has been assessed on two publicly available datasets. The kappa value for 4-class is 0.53. The average binary classification across the six pairwise tasks is 80.83%. The results support the conclusion that multi-band classification can be su使虚弱 发表于 2025-3-27 20:17:20
ty that significantly improved the segmentation outcomes. Our approach has reduced noise, sharpened the edges, “localized” the segmentation problem before subjecting to various segmentation techniques. The techniques which had failed previously now could segment the images with improved speed of exeFallibility 发表于 2025-3-28 01:13:11
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http://reply.papertrans.cn/88/8784/878334/878334_38.png树木中 发表于 2025-3-28 09:43:32
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