Switching Kalman filter based methods for apnea bradycardia detection from ECG signals

Apnea bradycardia (AB) is an outcome of apnea occurrence in preterm infants and is an observable phenomenon in cardiovascular signals. Early detection of apnea in infants under monitoring is a critical challenge for the early intervention of nurses. In this paper, we introduce two switching Kalman f...

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Veröffentlicht in:	Physiological measurement 2015-09, Vol.36 (9), p.1763-1783
Hauptverfasser:	Montazeri Ghahjaverestan, Nasim, Shamsollahi, Mohammad B, Ge, Di, Hernández, Alfredo I
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Apnea - diagnosis Apnea - physiopathology Bioengineering bradycardia Bradycardia - diagnosis Bradycardia - physiopathology Databases, Factual Diagnosis, Computer-Assisted - methods Early Diagnosis ECG modelling electrocardiography (ECG) Electrocardiography - methods expectation-maximization (EM) Heart - physiopathology Humans Infant Infant, Newborn Infant, Premature Kalman filter (KF) Life Sciences Linear Models Models, Cardiovascular Observational Studies as Topic Sensitivity and Specificity switching Kalman filter (SKF)
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