Extracting Real ECG and Estimating Stroke Volume from MRI-Compatible ECGs
Author Information
Author(s): Ho Tse Zion Tsz, Dumoulin Charles L, Clifford Gari, Jerosch-Herold Michael, Kacher Daniel, Kwong Raymond, Stevenson William Gregory, Schmidt Ehud Jeruham
Primary Institution: Brigham and Women's Hospital, Boston, MA, USA
Hypothesis
Separation of ECGreal and VMHD from 12-lead ECGs acquired within a 1.5T MRI could be achieved, and a non-invasive beat-to-beat stroke-volume estimation could be achieved from time-integrated systolic VMHD.
Conclusion
The filtering extracts ECGreal from measured 12-lead ECG, preserving ECGreal for ischemia monitoring and MRI gating, and stroke volume can be non-invasively derived from the time-integrated systolic VMHD.
Supporting Evidence
- Adaptive filtering successfully separated ECGreal from VMHD.
- Stroke volume was estimated from time-integrated systolic VMHD.
- Results showed that PVC beats produced substantially lower stroke volume than during sinus-rhythm.
- AF patients exhibited irregular VMHD and stroke volume due to varying heart rates.
- Athlete subjects showed increased stroke volume with higher heart rates during stress tests.
Takeaway
The study shows how to separate real heart signals from noise in MRI and measure heart output without invasive methods.
Methodology
Adaptive filtering was used to separate ECGreal from VMHD in 5 healthy subjects and 2 patients with PVCs and AF.
Participant Demographics
5 healthy subjects, 2 patients with Premature Ventricle Contractions (PVCs) and Atrial Fibrillation (AF).
Digital Object Identifier (DOI)
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