Rapid trend detection for an ambulatory monitoring system

Rapid trend detection for an ambulatory monitoring system

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 c...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Yongji Fu, Bryan, H. S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accelerometers
Algorithms
Biomedical monitoring
Computer Simulation
Diagnosis, Computer-Assisted - methods
Diseases
Heart rate
Humans
Kalman filters
Models, Biological
Models, Statistical
Monitoring
Monitoring, Ambulatory - methods
Signal processing algorithms
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Beschreibung
Zusammenfassung: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.
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2011.6090276