ECGSYN provides a freely available, realistic synthetic ECG generator to serve as a benchmark for evaluating and comparing biomedical signal processing techniques.
Supports higher ECG sampling to avoid LF/HF underestimation; leaves open prospective clinical validation before practice change.
ECGSYN, a dynamical model that faithfully reproduces the main features of the human electrocardiogram (ECG), including heart rate variability, RR intervals and QT intervals is presented. Details of the underlying algorithm and an open-source software implementation in Matlab, C and Java are described. An example of how this model will facilitate comparisons of signal processing techniques is provided.
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McSharry et al. (2004) studied this question.
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