A Smartphone-Based M-Health Monitoring System for Arrhythmia Diagnosis
Deep learning technology has been widely adopted in the research of automatic arrhythmia detection.However, there are several limitations in existing diagnostic models, e.g., difficulties in extracting temporal information from long-term ECG signals, a plethora of parameters, and sluggish operation speed.Additionally, the diagnosis performance of a