title: Evaluation of on-line bradycardia boundary detectors from neonatal clinical data.
abstract: this paper aims at investigating different methods for the detection of the start and end of bradycardias in heart rate signal of premature babies. We present two methods based on a disturbance detector and on a decision tree that are compared to classical thresholding approaches. Decision tree obtained the best detection results (Se=78.2%, PP=68.7%) against the disturbance detector (Se=90.2%, PP=61.3%) and the best thresholding method (Se=92.5%, PP=46.5%). Moreover, the decision tree exhibits better performance for the boundaries estimation (median delay = 7-5 seconds) than the disturbance detector (median delay = 8-5 seconds) with a better stability (STD=8.5 to 8.7s vs. STD=35.3 to 19.9s). These methods will be integrated to the BabyTalk project which aims at summarizing neonatal clinical data as text in order to improve data management in Neonatal ICU.
authors.affiliation: Department of Computing Science, University of Aberdeen, King's College, Aberdeen AB24 3UE, UK. fportet@csd.abdn.ac.uk
authors.forename: Francois
authors.initials: F
authors.lastname: Portet
authors.forename: Feng
authors.initials: F
authors.lastname: Gao
authors.forename: Jim
authors.initials: J
authors.lastname: Hunter
authors.forename: Somayajulu
authors.initials: S
authors.lastname: Sripada
mesh_terms: D000465:Algorithms; D001919:Bradycardia / Q000175:diagnosis* / Q000503:physiopathology*; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004056:Differential Threshold; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D007231:Infant, Newborn; D009862:Online Systems; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity