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Automatic QRS detection remains a challenging task in certain types of recordings, limiting the capacity of automating subsequent tasks that heavily depends on proper heartbeat location. Performance estimation of these algorithms is calculated almost exclusively in a few databases, ignoring the generalization to other more complex situations. In this work, we evaluated six QRS detection algorithms...
Ischemia detectors represent a useful diagnosis tool to identify acute ischemic episodes in coronary artery disease patients. In this paper, a detector of acute ischemic events based on the analysis of the QRS angles is presented. This acute ischemia detector has been developed by modelling the ischemia-induced changes in the QRS angles as an abrupt change with a certain transition time, assuming...
It has been shown that computation of atrial fibrillation (AF) electrogram (EGM) indices based on activation times is limited by the accuracy of the activation detector. In this work, a wavelet-based detector is proposed as a method to reliably extract activation time locations from the wavelet decomposition of non-linearly pre-processed bipolar EGM signal. A more classical amplitude adaptive threshold-based...
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