Classical and Quantum Heart Modelling
Abstract
The target of this work is to use classical and quantum digital technology and transform the Electrocardiogram (ECG) into a quantumtomography-like instrument. The ECG technique is old, very established, extremely simple and very cheap. Cardiologists rely on itfor detecting major heart conditions and use it as a prevention tool. The ECG use follows well established empirical rules that portray details on the heart condition. However, it contains more information than the one used in practice. In fact, we believe, that proper usage of the ECG data can lead to a complete tomographic-like representation of the heart that includes the time trace dynamics. In order to unleash this information we need to use classical and quantum machine learning algorithms together with the ECG data and a realistic computational model of the heart. The twelve lead electrical dynamic information accumulated is used by cardiologists in assessing the heart condition and may pinpoint to the location and feature information on the specifics of the interior of the heart. If the ECG space-time data are coupled to basic equations that determine the electrical signal propagation in the heart then very precise information about cardiac dynamics and condition will emerge. We will couple data with physics in order to forma digital twin of the heart and obtain precise microscopic cardiac knowledge. Furthermore, we will map the classical ECG and otherfeature data into a quantum mechanical form and perform analysis of the latter initially through emulators and finally through qubits. We expect that from the blending of data, physics and quantum and new, more powerful approach for precision cardiology will emerge.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 09, 2024
- Source ID
- N629092412119
Entities
People
- Georgios Tsironis
Organizations
- Office of Naval Research
- United States Navy
- University of Crete