Attractor Reconstruction for Quantifying the Arterial Pulse Wave Morphology During Device-Guided Slow Breathing

Area of Science:

• Cardiovascular physiology
• Biomedical engineering
• Nonlinear dynamics

Background:

• Cardiovascular waveform morphology provides insights into physiological states.
• Traditional methods may not fully capture complex waveform dynamics.
• Attractor reconstruction offers a novel approach to quantify waveform morphology.

Purpose of the Study:

• To demonstrate the feasibility of an automated method for quantifying pulse wave attractors.
• To correlate features of pulse wave attractors with arterial pulse waveform characteristics.
• To investigate the impact of device-guided slow breathing on pulse wave attractors.

Main Methods:

• Applied a novel feature extraction technique to arterial pulse waveform data from 30 hypertensive patients.
• Patients underwent device-guided slow breathing exercises.
• Generated and categorized pulse wave attractors into distinct shapes (triangular, bent, overlapping arms).

Main Results:

• The average height of pulse wave attractors significantly decreased from 41.8 AU to 34.5 AU during slow breathing (p < 0.001).
• The novel approach successfully quantified pulse wave attractors and detected morphological changes.
• Categorization revealed distinct attractor shapes, suggesting varied underlying dynamics.

Conclusions:

• The automated quantification of pulse wave attractors is feasible and sensitive to morphological changes.
• Device-guided slow breathing induces a 'shrinking' effect on attractor height, potentially linked to blood pressure reduction.
• This technique offers a promising tool for non-invasive cardiovascular assessment.