Reduction of false arterial blood pressure alarms using signal quality assessment and relationships between the electrocardiogram and arterial blood pressure. Export

@article{citeulike:477426, abstract = {The paper presents an algorithm for reducing false alarms related to changes in arterial blood pressure (ABP) in intensive care unit (ICU) monitoring. The algorithm assesses the ABP signal quality, analyses the relationship between the electrocardiogram and ABP using a fuzzy logic approach and post-processes (accepts or rejects) ABP alarms produced by a commercial monitor. The algorithm was developed and evaluated using unrelated sets of data from the MIMIC database. By rejecting 98.2\% (159 of 162) of the false ABP alarms produced by the monitor using the test set of data, the algorithm was able to reduce the false ABP alarm rate from 26.8\% to 0.5\% of ABP alarms, while accepting 99.8\% (441 of 442) of true ABP alarms. The results show that the algorithm is effective and practical, and its use in future patient monitoring systems is feasible.}, address = {Harvard-MIT Division of Health Sciences \& Technology, Massachusetts Institute of Technology, Cambridge, USA. wzong@mit.edu}, author = {Zong, W. and Moody, G. B. and Mark, R. G.}, citeulike-article-id = {477426}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/15503972}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=15503972}, issn = {0140-0118}, journal = {Med Biol Eng Comput}, keywords = {analysis, computer}, month = {September}, number = {5}, pages = {698--706}, posted-at = {2006-01-23 05:12:05}, priority = {2}, title = {Reduction of false arterial blood pressure alarms using signal quality assessment and relationships between the electrocardiogram and arterial blood pressure.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/15503972}, volume = {42}, year = {2004} }

TY - JOUR ID - citeulike:477426 L3 - citeulike-article-id:477426 N2 - The paper presents an algorithm for reducing false alarms related to changes in arterial blood pressure (ABP) in intensive care unit (ICU) monitoring. The algorithm assesses the ABP signal quality, analyses the relationship between the electrocardiogram and ABP using a fuzzy logic approach and post-processes (accepts or rejects) ABP alarms produced by a commercial monitor. The algorithm was developed and evaluated using unrelated sets of data from the MIMIC database. By rejecting 98.2% (159 of 162) of the false ABP alarms produced by the monitor using the test set of data, the algorithm was able to reduce the false ABP alarm rate from 26.8% to 0.5% of ABP alarms, while accepting 99.8% (441 of 442) of true ABP alarms. The results show that the algorithm is effective and practical, and its use in future patient monitoring systems is feasible. IS - 5 JF - Med Biol Eng Comput SN - 0140-0118 AD - Harvard-MIT Division of Health Sciences & Technology, Massachusetts Institute of Technology, Cambridge, USA. wzong@mit.edu EP - 706 TI - Reduction of false arterial blood pressure alarms using signal quality assessment and relationships between the electrocardiogram and arterial blood pressure. VL - 42 SP - 698 KW - analysis KW - computer AU - Zong, W AU - Moody, GB AU - Mark, RG PY - 2004/09// UR - http://view.ncbi.nlm.nih.gov/pubmed/15503972 ER -