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Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach
Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach
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Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach
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Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach
Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach

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Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach
Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach
Journal Article

Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach

2025
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Overview
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.