Temporal sparse promoting three dimensional imaging of cardiac activation

Long Yu, Zhaoye Zhou, Bin He

Research output: Contribution to journalConference articlepeer-review


We propose a new Cardiac Electrical Sparse Imaging (CESI) technique to image cardiac activation throughout the three-dimensional (3D) ventricular myocardium from body surface electrocardiogram (ECG) with the aid of heart-torso geometry. Sparse property of cardiac electrical activity along time is utilized in the temporal sparse inverse problem. Computer simulations were carried out to evaluate the performance of this imaging method under various circumstances. A total of 12 single site pacing simulations with various noise/disturbance were employed to evaluate the accuracy, stability and robustness of the technique. The imaged activation sequence is compared with the simulated ones and those from the conventional weighted minimum norm method. The results show that CESI outperformed the conventional method. In summary, we have proposed a novel method for cardiac activation imaging, and our results suggest that CESI has enhanced performance and has the potential to image ventricular activation and assist in clinical management of ventricular arrhythmias.

Original languageEnglish (US)
Article number7043142
Pages (from-to)713-716
Number of pages4
JournalComputing in Cardiology
Issue numberJanuary
StatePublished - Jan 1 2014
Event41st Computing in Cardiology Conference, CinC 2014 - Cambridge, United States
Duration: Sep 7 2014Sep 10 2014


Dive into the research topics of 'Temporal sparse promoting three dimensional imaging of cardiac activation'. Together they form a unique fingerprint.

Cite this