Key result
The VDI vision software successfully processed 5,622 UHF-ECG recordings in real-time across two hospitals, with median recording lengths of 124 and 157 seconds, enabling instant dyssynchrony analysis.
Why the study?
UHF-ECG analysis can examine ventricular electrical dyssynchrony and allow direct optimization of pacing therapy, motivating the introduction of a desktop application for real-time processing.
Can the VDI vision desktop application provide real-time analysis of ventricular electrical dyssynchrony using ultra-high-frequency ECG recordings?
Can the VDI vision desktop application provide real-time analysis of ventricular electrical dyssynchrony using ultra-high-frequency ECG recordings?
VDI vision provides real-time ultra-high-frequency ECG analysis to assess ventricular electrical dyssynchrony, which could optimize electrode placement during pacemaker implantation.
Real-time UHF-ECG dyssynchrony analysis is technically feasible; leaves open whether it improves CRT electrode placement or outcomes.
Background: Ventricular electrical dyssynchrony can be examined using ultra-high-frequency (UHF-ECG) analysis. Furthermore, UHF-ECG analysis would allow direct optimization of pacing therapy. Here we introduce VDI vision (Ventricular Dyssynchrony Imaging), a desktop application for the real-time processing of UHF-ECG recordings. Method: Incoming ECG data (5kHz, 26 bits, 24 channels) are processed as follows: QRS detection, pacemaker stimuli elimination, QRS clustering, amplitude envelopes in nine frequency bands, and final combination into the Ventricular Depolarization (VD) map. The VD map is updated whenever a new QRS is detected. Results: We developed the VDI vision using the. NET platform. Until the end of March 2021, the VDI monitor was used to analyze 773 and 4,849 recordings at ICRC-FNUSA hospital (Brno, Czechia) and FNKV hospital (Prague, Czechia), respectively. The median length for ICRC-FNUSA recordings was 124 (IQR 121–139) seconds. The median length for recordings at FNKV hospital was 157 seconds (IQR 127–200). Conclusion: The VDI vision delivers information about electrical ventricular dyssynchrony in real-time. The instant analysis allows using the software during implant procedures for optimizing electrode placement and pacing. The presented real-time solution also significantly minimized measurement duration.
No takes yet. Share an insight, caveat, or question.
Plešinger et al. (2021) studied Ventricular electrical dyssynchrony (n=5,622). VDI vision (Ventricular Dyssynchrony Imaging) software was evaluated on Real-time processing of UHF-ECG recordings. The VDI vision software successfully processed 5,622 UHF-ECG recordings in real-time across two hospitals, with median recording lengths of 124 and 157 seconds, enabling instant dyssynchrony analysis.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: