title: Request-driven ECG interpretation based on individual data validity periods.
abstract: Traditional approach to the automated ECG analysis assumes the calculation is triggered for each data point acquired in a uniform time interval. This approach reveals the variability of selected diagnostic parameters differing by more than three orders. Distributed systems using global wireless digital communication may benefit from this difference using variable reporting interval or data-adaptive report content. More natural consequence is a request-driven interpretation described in this paper. Our approach assumes the processing of the acquired ECG is triggered by the data validity period expiry. Such solution significantly reduces unnecessary computation and is particularly interesting in aspect of wearable devices autonomy. Correct definition of data validity for each particular diagnostic parameter guarantees the completeness of the patient status and its convergence to the result of traditional approaches.
authors.affiliation: Multidisciplinary School of Engineering in Biomedicine (MSIB), AGH University of Science and Technology, 30, Mickiewicza Ave., 30-059 Krakow, Poland. august@agh.edu.pl
authors.forename: Piotr
authors.initials: P
authors.lastname: Augustyniak
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D005103:Expert Systems; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity