An Innovative Technique to Assess Spontaneous Baroreflex Sensitivity with Short Data Segments: Multiple Trigonometric...

Area of Science:

• Cardiovascular Physiology
• Biomedical Signal Processing

Background:

• Baroreflex sensitivity (BRS) is crucial for cardiovascular regulation.
• Accurate BRS estimation is vital, particularly with non-stationary biosignals.
• Multiple trigonometric regressive spectral (MTRS) analysis offers potential for analyzing short data segments.

Purpose of the Study:

• To evaluate the impact of data segment lengths on BRS estimation using MTRS analysis.
• To assess the stability and accuracy of MTRS for BRS estimation across different segment settings.
• To determine the optimal data segment length for MTRS-based BRS analysis.

Main Methods:

• Utilized the EuroBaVar dataset (42 recordings) with subjects in lying and standing positions.
• Applied MTRS analysis with varying global (1-2 min) and local (12, 20, 30 s) data segment lengths.
• Performed spectral and baroreflex analyses to compare BRS estimations.

Main Results:

• MTRS analysis showed stable BRS estimations across different global data segments in both supine and standing positions.
• BRS estimations were highly correlated across different local data segments.
• In the supine position, 12s segments overestimated BRS compared to 20s and 30s segments; estimations were comparable in the standing position.

Conclusions:

• MTRS technique provides stable BRS estimations irrespective of global data segment length.
• MTRS is effective for BRS analysis using short local data segments (20 and 30 s).
• MTRS is recommended for BRS analysis of non-stationary biosignals and dynamic BRS monitoring.