HIGHLIGHTS
- who: Junbo Duan et al. from the Key Laboratory of Biomedical Information Engineering of Ministry of Education and Department of Biomedical Engineering, School of Life Science and Technology, Xi`an Jiaotong University, Xi`an, China have published the research: Accurate detection of atrial fibrillation events with R-R intervals from ECG signals, in the Journal: PLOS ONE
- what: The authors demonstrate that instead of using any specific numerical characteristic as the input feature the probability density of RRIs from conserves comprehensive statistical information; hence is a natural and efficient input feature for AF detection. The . . .
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