An Adaptive Cusum Test Based on a Hidden Semi-Markov Model for Change Detection in Non-invasive Mean Blood Pressure Trend

TitleAn Adaptive Cusum Test Based on a Hidden Semi-Markov Model for Change Detection in Non-invasive Mean Blood Pressure Trend
Publication TypeConference Paper
Year of Publication2006
AuthorsYang, P., G. Dumont, and J. M. Ansermino
Conference NameEngineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Pagination3395 -3398
Date Publishedaug.
Keywordsadaptive cumulative sum test, adaptive signal detection, blood pressure measurement, hidden Markov models, hidden semiMarkov model, medical signal detection, medical signal processing, noninvasive mean blood pressure detection, pattern change recognition, Pattern Recognition, Viterbi beam search algorithm
Abstract

A hidden semi-Markov model is proposed to describe a trend signal for non-invasive mean blood pressure. Based on the model, a Viterbi beam search algorithm working with an adaptive cumulative sum test is proposed to detect change points and recognize change patterns online. Testing results on the simulated signals and clinical signals demonstrate that the algorithm has improved performance over the standard cumulative sum test for change detection, and has the potential to provide a clinically relevant description of trend changes

URLhttp://dx.doi.org/10.1109/IEMBS.2006.260594
DOI10.1109/IEMBS.2006.260594

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