At present, there are no hardware or biochemical systems that allow to assess the severity of post-COVID syndrome in vivo. The hardware of the proposed biotechnical system is based on routine transthoracic electrical impedance rheography, which makes it possible to register the frequency characteristics of the patient's bioimpedance response to controlled stress stimulation, thereby simultaneously fixing the characteristics of his productive heart, the state of the hemomicrocirculatory bed, the efficiency of the gas transport function of his blood, and also reliably assess personal reactivity and adaptive potential. Subsequent mathematical approximation of the obtained biometric data by an original neural network makes it possible to rank the results obtained and automatically generate a program of medical rehabilitation for a particular patient, depending on the severity of his post-COVID syndrome. The study results proved two reliable physiological signs confirming the presence of latent post-COVID complications: a decrease in the base impedance value for light exercise and an increase in the length of the systolic arc of the rheocardiogram.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487909PMC
http://dx.doi.org/10.2478/joeb-2022-0008DOI Listing

Publication Analysis

Top Keywords

post-covid syndrome
12
biotechnical system
8
severity post-covid
8
comprehensive biotechnical
4
system screening
4
screening risk-based
4
risk-based diagnosis
4
diagnosis covid-19
4
post-covid
4
covid-19 post-covid
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!