Similarity measurement study for bio-signal waveform based on tunnel morph

One similarity measurement strategy for bio-signal waveform is presented in this paper. A tunnel morph is introduced to describe the waveform. It measures the waveform not only by a value, but considers the curve feature of waveforms. Then a set of integrity definitions are presented in the paper. It contains segmentation, measurement function selection, tunnel morph width, and best partition point assigning. A case study on AECG (Ambulatory Electrocardiogram) is also presented to give a proof for the similarity measurement strategy. Through experiment, the sensitivity and positive prediction of the strategy is higher than city block, Euclidean distance and correlation coefficient. Data used in the paper is from MIT/BIH.