belonging to 17 categories. Each record has a duration of 10 s and contains 3600 sampling points. According to our experimental results, the accuracy, recall, precision, and F1-score of the… Click to show full abstract
belonging to 17 categories. Each record has a duration of 10 s and contains 3600 sampling points. According to our experimental results, the accuracy, recall, precision, and F1-score of the CTFNN for long-term signals were 97.33, 97.96, 96.00, and 96.97%, respectively. In addition, the number of parameters for the proposed model was only 558,728, which was less than that for LeNet (i.e., 1734501).
Keywords:
using convolutional;
detection heart;
heart arrhythmia;
signals using;
arrhythmia signals;
automated detection
Journal Title: Sensors and Materials
Year Published: 2024
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Journal Title: Sensors and Materials
Year Published: 2024
Link to full text (if available)
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recommendations!