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Traditional approaches based on short-term heart rate variability for cardiovascular disease diagnosis fail to capture the long-term dynamic information and individual effect from electrocardiography signals among subjects when examining the physiological condition. These shortages may lead to incorrect disease detection and weaken diagnosis performance. To address these problems, this paper proposes...
A new severity measurement system for obstructive sleep apnea (OSA) classification has been proposed in this paper. This system was based on the segmentation of RR interval (R wave to R wave interval on ECG signal) sequence followed by baseline construction for different categories of patients with various severities. A novel automatic segmentation algorithm based on K-S test was developed in this...
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