Content-adaptive signal and data in pervasive cardiac monitoring

Although the pervasive monitoring of patients at cardiac risk is widely recognized as a valuable tool, the content-dependent signal and data adaptability is rarely considered. Consequently the autonomy of wearable recorders is affected by the unnecessary computation and the wireless data carrier is wasted by the unwanted information. The thorough analysis of human ECG interpretation process and detailed studies of diagnostic procedures reveal that the adaptation of the perceptual strategy to the ECG content is an intuitive and common practice of cardiology experts. Considering human interpretation-derived directions we re-arranged a typical machine interpretation software to simulate the human reasoning. Several aspects of data are adjusted accordingly to the automatic rough estimate of the record contents: the interpretation process flow, the result priority, report content and frequency and the local sampling frequency of the ECG included