Intracardiac electrogram envelope detection during atrial fibrillation using fast orthogonal search

Area of Science:

• Biomedical Engineering
• Cardiovascular Electrophysiology
• Signal Processing

Background:

• Intracardiac electrogram (IEGM) processing accuracy is vital for cardiac procedure success.
• Current activation detection methods often overlook activation envelope start/end points, limiting diagnostic information.
• Activation duration analysis is crucial for understanding complex cardiac phenomena like wave collisions.

Purpose of the Study:

• To develop a novel, fast, and accurate method for estimating the start and end of IEGM activations (activation envelope).
• To improve the analysis of intracardiac recordings during atrial fibrillation by precisely defining activation boundaries.

Main Methods:

• Utilized wavelet decomposition to generate basis functions for signal modeling.
• Developed a novel orthogonal-based approach for activation envelope estimation.
• Validated the method against expert electrophysiologist annotations on a database of 24 atrial fibrillation IEGM recordings.

Main Results:

• The proposed method demonstrated promising performance in accurately estimating the activation envelope.
• The approach showed excellent robustness to variations in training data.
• Achieved high accuracy in determining the start and end points of IEGM activations.

Conclusions:

• The novel orthogonal-based method offers a significant advancement in IEGM activation detection.
• Accurate activation envelope estimation can provide valuable insights into cardiac electrophysiology during atrial fibrillation.
• This technique has the potential to enhance the interpretation of intracardiac signals in clinical settings.