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From Heartbeat to Cardiochoreography: A Mechanics Foundation Model for Individualized 4D Cardiac Motion Generation Conditioned on Electrophysiology

NeurIPS 2026 · Video › Video generation · approach: World-model video generation

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AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes a mechanics-grounded foundation model that generates individualized 4D cardiac motion conditioned on ECG electrophysiology, addressing temporal and spatial misalignment between ECG and physical motion.

Problem

ECG records electrical activity that drives cardiac motion via electromechanical coupling, but its temporal delay and low spatial resolution cause misalignment with physical motion, limiting ECG use beyond event/segment-level tasks.

Approach

Uses cardiac mechanics as a foundation to bridge ECG electrophysiology and 4D cardiac motion, generating individualized motion conditioned on ECG (details not stated in the abstract).

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