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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
Published on: January 8, 2013
Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach
Nilmini Wickramasinghe1, Nalika Ulapane1, Yuxin Zhang2
1School of Computing, Engineering & Mathematical Sciences, La Trobe University, Melbourne, VIC 3086, Australia.
Abstract:
Digital Twins (DTs) are digital replicas of physical entities. The use of DTs in healthcare is a growing area of research. With DTs, there is potential to revolutionize healthcare with the assistance of Artificial Intelligence. This can lead to achieving precision, personalization, and value addition in healthcare. Contributing to this field, we present one of the first attempts of uncovering time series models of decompensation of heart failure. This was performed using some of the first data collected from the pilot phase of the SmartHeart study, in which an at-home, wearable, wireless sensor-based digital self-monitoring system for people with heart failure was tested.

