Multi-window detection for P-wave in electrocardiograms based on bilateral accumulative area

Area of Science:

• Cardiology
• Biomedical Signal Processing
• Medical Instrumentation

Background:

• P-wave detection in electrocardiograms (ECGs) is complex due to low amplitude, frequency, and waveform variability.
• Accurate P-wave delineation is crucial for diagnosing various cardiac conditions.

Purpose of the Study:

• To introduce a novel multi-window detection method for P-wave delineation.
• To enhance the accuracy and reliability of P-wave detection in ECG signals.

Main Methods:

• A novel multi-window detection method based on the bilateral accumulative area is proposed.
• The method calculates the area under the P-wave curve using sliding windows to identify onset and offset.
• It combines multi-window and 12-lead synchronous detection to adaptively match P-wave location.

Main Results:

• The method achieved an average sensitivity (Se) of 99.44% and positive predictivity (P+) of 99.37% for P-wave detection.
• Standard deviations for P-wave onset and offset were 3.7ms and 4.3ms, respectively.
• Validation was performed on multiple diverse ECG databases.

Conclusions:

• The bilateral accumulative area method offers a simple yet effective approach for P-wave detection.
• It demonstrates high sensitivity and positive predictability compared to existing methods.
• This technique shows potential as a valuable tool for ECG signal analysis.