Title | An Adaptive Cusum Test Based on a Hidden Semi-Markov Model for Change Detection in Non-invasive Mean Blood Pressure Trend |
Publication Type | Conference Paper |
Year of Publication | 2006 |
Authors | Yang, P., G. Dumont, and J. M. Ansermino |
Conference Name | Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE |
Pagination | 3395 -3398 |
Date Published | aug. |
Keywords | adaptive 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 |
URL | http://dx.doi.org/10.1109/IEMBS.2006.260594 |
DOI | 10.1109/IEMBS.2006.260594 |