Electrocardiogram Delineation in a Wistar Rat Experimental Model

Area of Science:

• Cardiology
• Biomedical Engineering
• Animal Models

Background:

• Electrocardiogram (ECG) analysis is crucial in small rodent research.
• Current automatic delineation techniques for rodent ECGs require high performance.
• Wavelet Transform (WT) has shown promise for delineating ECG waveforms.

Purpose of the Study:

• To implement and evaluate a WT-based ECG delineator for Wistar rats.
• To characterize the ECG signal spectrum in Wistar rats.
• To compare WT-based delineation with temporal analysis methods.

Main Methods:

• A WT-based ECG delineator was developed.
• The delineator was evaluated on a Wistar rat ECG database manually annotated by experts.
• Performance metrics including sensitivity and positive predictive value were assessed.

Main Results:

• The WT delineator achieved high performance: 99.2% sensitivity and 83.9% PPV for P-wave, 100% sensitivity and 99.9% PPV for QRS complex, and 100% sensitivity and 99.8% PPV for T-wave.
• WT-based delineation outperformed temporal analysis in RR interval, QRS duration, QT interval, and T-wave peak-to-end duration.
• Detailed ECG signal characteristics and spectral information for Wistar rats were provided.

Conclusions:

• A WT-based ECG delineator is proposed as a robust methodology for experimental ECG analysis in Wistar rats.
• This technique offers superior performance compared to traditional methods.
• The findings support the broad applicability of WT in rodent ECG research.