ML Schmidt

  • Citations Per Year
Learn More
Quantitative analysis of the electrocardiogram (ECG) requires delineation and classification of the individual ECG wave patterns. We propose a wavelet-based waveform classifier that uses the fiducial points identified by a delineation algorithm. For validation of the algorithm, manually annotated ECG records from the QT database (Physionet) were used. ECG(More)
The prognosis of patients with coronary artery disease at the early stage of the disease is a challenge of modern cardiology. There is an urgent need to risk stratify these patients. Holter technology is a cheap and cost effective tool to evaluate electrical abnormalities in the heart. We propose to investigate T-amplitude adaptation to heart rate (HR)(More)
In coronary artery bypass graft patency research, the quality of the graft is often quantified by the mean graft flow, pulsatility index (PI) and diastolic filling (DF). Calculation of PI and DF requires segmentation of the heart cycle into systolic and diastolic intervals. In this paper we present two methods to identify systolic and diastolic intervals(More)
  • 1