Advanced Computing Methods for Impedance Plethysmography Data Processing

Area of Science:

• Biomedical Engineering
• Medical Signal Processing

Background:

• Impedance plethysmography (IP) is crucial for hemodynamic monitoring.
• Existing rheogram analysis methods face challenges in stability and functionality.
• Computer-based signal processing offers potential for IP system enhancement.

Purpose of the Study:

• To introduce innovative computer methods for improving rheograph characteristics and rheogram development efficiency.
• To enhance the stability and functionality of IP systems using digital signal processing.
• To develop advanced methods for determining hemodynamic parameters from rheograms.

Main Methods:

• Digital signal processing techniques including digital potentiometer for base resistance compensation, quadrature excitation signal synthesis, and synchronous detection.
• Development of three novel methods for respiratory artifact elimination: Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and spline function approximation.
• Application of computer methods, including wavelet decomposition, for physiological indicator determination.
• Evaluation of various rheogram compression algorithms.

Main Results:

• Successfully implemented digital signal processing for enhanced rheograph stability and functionality.
• Proposed and validated three effective methods for eliminating respiratory artifacts from rheograms.
• Developed and described computer-based methods for accurate physiological indicator determination.
• Presented an evaluation of different rheogram compression algorithm efficiencies.

Conclusions:

• The proposed computer methods significantly improve impedance plethysmography rheogram analysis.
• Digital signal processing enhances the reliability and scope of hemodynamic monitoring using IP.
• Advanced artifact elimination and indicator determination methods contribute to more accurate physiological assessments.