HIGHLIGHTS
- who: Sara Nakatani et al. from the Graduate School of Science and Technology, Keio University, Yokohama, Kanagawa, Japan have published the article: Fetal Arrhythmia Detection Based on Labeling Considering Heartbeat Interval, in the Journal: Bioengineering 2023, 10, 48. of /2023/
- what: The authors propose a deep method using FECG signals. To improve the classification accuracy of the model, only normal and arrhythmia segments are used for training; moderate segments are not used. The authors used the AECG database containing fetal arrhythmias provided on the PhysioNet website . The authors focus on the classification results for the . . .
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