ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods

Controlled cardiac rehabilitation has shown to be an effective and cost-efficient form of treatment. However, it could be supported by technology. We used a scenario-based method to approach the issue and to consider it from the technical perspective. We also tried out signal processing methods in rejection of artifacts and quantization of ECG features from ECG data collected with two different portable recorders. For example correct R-peak detection rates ranged between 98.2% and 99.9% with 5 different tested R-peak detection routines. Conclusions: comments resulted from the scenario work was educative and simple ECG signal processing results promising.