The degradation of the ability to adapt and respond to changing health situations and environments causes a lot of potential hazards on the health of the elderly. Among all potential threats, heart disorders are more critical that may cause sudden death. Electrocardiography (ECG), one of well-known non-invasive procedures, is commonly used to detect abnormal heart rhythms and a powerful tool in diagnosing heart disorders, which is evolved from a long history references to and correlation with known cardiac disorders. Further, each individual has his own unique ECG signal which may also be influenced by his mood, illness and also his environment. Conventional analysis tools (e.g., rule-based analysis) do not have a personalized learning heart disorder capability. Therefore, the clinical experts still need to get involved and carefully identify the symptom. There are many studies on ECG signal processing such as baseline correction, noise removal, R-wave detection, QRS algorithm and disease diagnosis [3-6]. With medical knowledge and techniques, hence, electrocardiography (ECG) can be used as an important cue for diagnosis of heart disease and trace of treatment.