Abstract
METHODS: Following institutional ethical approval, trend heart rate data was collected from 53 children. Clinically detected changes in heart rate, using standard auditory and visual monitoring, were recorded in synchrony with the trend data. A purpose-built graphical interface was used for post-hoc expert marking of episodes of heart rate increase; graded as definitely or likely significant/ insignificant or artifact using predefined criteria. Following data segmentation, an automated change-point detection algorithm, with adaptive Kalman filtering and a local CUSUM, was used to identify points of increasing heart rate. The relative performance of the algorithm and real-time clinicians was compared against the post-hoc expert review.
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Schedule a callMore From: Canadian Journal of Anesthesia/Journal canadien d'anesthésie
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