HIGHLIGHTS
- who: Zhe Bao and colleagues from the School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China have published the Article: Atrial Fibrillation Detection with Low Signal-to-Noise Ratio Data Using Artificial Features and , in the Journal: Journal of Healthcare Engineering of 21/01/2023
- what: Based on a large number of previous studies, this study used four types of features, that is, waveform features, interval features, frequency-domain features, and nonlinear feature without discarding prior knowledge, and 24 specifc features were calculated . In this study, an AF detection method that combined artifcial . . .
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