Comprehensive Biotechnical System for Screening Risk-based Diagnosis of COVID-19 and Post-COVID Syndrome

Area of Science:

• Biomedical Engineering
• Cardiovascular Physiology
• Post-COVID Syndrome Research

Background:

• Current methods for assessing post-COVID syndrome severity in vivo are lacking.
• Objective measurement of physiological parameters is crucial for effective diagnosis and management.

Purpose of the Study:

• To develop and validate a novel biotechnical system for in vivo assessment of post-COVID syndrome severity.
• To identify reliable physiological markers indicative of latent post-COVID complications.

Main Methods:

• Utilizing transthoracic electrical impedance rheography (TEIR) to record bioimpedance responses to controlled stress.
• Analyzing frequency characteristics of bioimpedance to evaluate cardiac function, hemomicrocirculation, and gas transport.
• Employing a neural network for mathematical approximation and ranking of biometric data.

Main Results:

• The system successfully assesses cardiac productivity, hemomicrocirculatory status, and blood gas transport.
• Two key physiological signs of latent post-COVID complications were identified: decreased base impedance with light exercise and increased systolic arc length on rheocardiograms.
• The system enables automatic generation of personalized medical rehabilitation programs.

Conclusions:

• The proposed biotechnical system offers a non-invasive method for in vivo assessment of post-COVID syndrome.
• Identified physiological signs provide reliable indicators of subclinical post-COVID conditions.
• This technology facilitates personalized rehabilitation strategies for patients with post-COVID syndrome.