Title :
Rapid trend detection for an ambulatory monitoring system
Author :
Fu, Yongji ; Bryan, Hallberg S.
Author_Institution :
Sharp Labs. of America, Camas, WA, USA
fDate :
Aug. 30 2011-Sept. 3 2011
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;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090276
