ArtTwin: A Novel Concept of Developing Digital Twin of Human Arterial System

Pulse waveforms contain rich hemodynamic information, essential for real-time patient-specific diagnosis. While most research focuses on predicting central waveforms from peripheral waveforms and extracting hemodynamic data, we explore the potential of analyzing real-time pulse waveforms across the...

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Bibliographic Details
Published in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
Main Authors:	Hemanthika, Akasapu, Chandran, Dinu S, Kumar, Sandeep, Roy, Sitikantha
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06.04.2025
Subjects:	Accuracy Arteries autoen-coder compressed sensing Computational fluid dynamics digital twin Digital twins graph neural networks Hemodynamics human arterial system pulse waveforms Real-time systems sparse reconstruction Surgery Synthetic data Testing Training
ISSN:	2379-190X
Online Access:	Get full text
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