Figure 2

Block diagram of our method. We use a two-phase process. In the first phase, we simultaneously segment the quasiperiodic multi parameter signal into basic segments (e.g., ECG beats) and estimate the signal qualities of all the signals in each segment. The second phase takes as inputs the segments and the signal quality estimates produced in the first phase. The method builds a database of templates from those segments in which all signals are of high estimated signal quality. When the method encounters a segment with a low estimated signal quality, it tries to reconstruct that segment using the best match from the database. The fundamental idea is to learn a set of morphological templates, and reconstruct the corrupted segments using them.