Learn More
Far too many people are dying from stroke or other heart related diseases each year. Early detection of abnormal heart rhythm could trigger the timely presentation to the emergency department or outpatient unit. Smartphones are an integral part of everyone;s life and they form the ideal basis for mobile monitoring and real-time analysis of signals related(More)
Early detection of arrhythmic beats in the electrocardiogram (ECG) signal could improve the identification of patients at risk from sudden death, for example due to coronary heart disease. We present a mobile, hierarchical classification system (three stages in total) using complete databases with the aim to provide instantaneous analysis in case of(More)
Arrhythmia detection algorithms require the exact and instantaneous detection of fiducial points in the ECG signal. These fiducial points (QRS-complex, P- and T-wave) correspond to distinct cardiac contraction phases. The performance evaluation of different fiducial points detection algorithms require the existence of large databases (DBs) encompassing(More)
  • 1