Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning

Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning

Accurately diagnosing sleep problems is important for medical assessments and therapies. Polysomnography (PSG) has lengthy been used for detection of numerous sleep problems. In this analysis, electrocardiography (ECG) and electromayography (EMG) have been used for recognition of respiratory and movement-related sleep problems. Bio-signal processing has been carried out by extracting EMG options exploiting entropy and …

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