DocumentCode
2469512
Title
Rapid trend detection for an ambulatory monitoring system
Author
Fu, Yongji ; Bryan, Hallberg S.
Author_Institution
Sharp Labs. of America, Camas, WA, USA
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
1177
Lastpage
1180
Abstract
An algorithm for rapid trend detection of physiological parameter is introduced for ambulatory monitoring applications. Kalman prediction error of monitored parameter is used to estimate the physiological status and detect rapid change. With this algorithm, rapid trend during ambulatory monitoring can be found to predict disease exacerbation; and it is also applied to identify outliers of measurement due to poor signal quality to avoid false alarms.
Keywords
acoustic signal processing; biomedical measurement; cardiology; medical signal processing; patient monitoring; Kalman prediction error; ambulatory monitoring system; physiological parameter; physiological status; rapid trend detection; Accelerometers; Biomedical monitoring; Diseases; Heart rate; Kalman filters; Monitoring; Signal processing algorithms; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Humans; Models, Biological; Models, Statistical; Monitoring, Ambulatory;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6090276
Filename
6090276
Link To Document