Most existing electrocardiogram (ECG) feature extraction methods rely on rule-based
approaches. It is difficult to manually define all ECG features. We propose an unsupervised …

Stroke patients are monitored hourly by physicians and nurses in an attempt to better
understand their physical state. To quantify the patients' level of mobility, hourly movement …

Recent improvements in data learning techniques have catalyzed the development of
various clinical learning systems. However, for clinical applications, training from noisy data …