HIGHLIGHTS
- who: Tianqing Cheng and colleagues from the College of Medicine and Biological Information Engineering, Northeastern University, BOBO Technology, Hangzhou, China have published the paper: Quantitative Analysis Using Consecutive Time Window for Unobtrusive Atrial Fibrillation Detection Based on Ballistocardiogram Signal, in the Journal: Sensors 2022, 5516 of 24/07/2022
- what: The authors propose a novel feature extraction method to improve AF performance using a (BCG) which is a weak vibration the body surface transmitted by the cardiogenic force. In this study, CTW-RQA features are proposed to improve the accuracy of AF detection based on . . .
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