Cardiovascular Diseases & Diagnosis

Sheng-Ta Hsieh

Publications

• Research Article
  A Beat-to-Beat Atrial Fibrillation Detecting System
  Author(s): Sheng-Ta Hsieh and Chun-Ling LinSheng-Ta Hsieh and Chun-Ling Lin
  
  Atrial Fibrillation (AFib) is the most common cardiac arrhythmia, increasing in prevalence with age. AFib is often associated with structural heart disease and a substantial proportion of AFib patients lead to the significant morbidity, mortality, and cost. Thus, AFib is the most prevalent and costly health problems in the world and a major global healthcare challenge. This study presents a beat-to-beat AFib detection system to provide a healthcare system for AFib patients. For real-time Electrocardiogram (ECG) signals, the beat-to-beat AFib detection system consists of two methods in this study: an improved ECG R peak detection method and a beat-to-beat Gaussian voting AFib method. The improved R peak detection method proposes two different optimization algorithms to replace the knowledge-based theory in previous R peak detection method that consists of three stages: band-pass filter.. Read More»
  DOI: 10.4172/2329-9517.S2-001

  Abstract PDF