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A Method for Predicting the Main Indicators of Cardiopulmonary Stress Testing for Patients with Chronic Heart Failure

https://doi.org/10.32603/1993-8985-2020-23-1-96-104

Abstract

Introduction. Cardiopulmonary stress test provides significant diagnostic and prognostic information of the condition of patients with cardiovascular and pulmonary diseases. There is a serious problem, that final phase of stress testing is a physically difficult exercise for a person. There is a significant risk of occurrence and development of pathological conditions of the patient's cardiovascular system. One of the solutions is the development of methods for assessing the biological parameters of the patients at the end of a load protocol based on data from the initial stages of the test.

Aim. Development of a method for finding an estimate of the maximum heart rate (HR) and of the peak oxygen consumption (OC) for the patients with chronic heart failure at the end of a cardiorespiratory exercise stress test, based on the results of the study obtained at the first initial stages of the test.

Materials and methods. For the study, 149 anonymized records of rhythmograms and data of changes in the oxygen consumption of the patients with chronic heart failure were used. The patients underwent a cardiopulmonary stress test by a bicycle ergometer using step-by-step load protocol (the load power increase at each stage was 10 W, the duration of the load stage was 1 min)

Results. Based on the analysis of the data obtained, a method for assessing the peak values of HR and of PC of the patients with chronic heart failure was developed.

Conclusion. The relative error of the proposed estimate of the HR peak in most cases was no more than 10 %, which allows it to be used for practical purposes. It was established that when performing 70 % of the stress protocol, the error of the proposed estimate of the OC peak in most cases did not exceed 20 %. More research is needed to improve the accuracy of the assessment for using in medical applications aimed to the modernization of methods and equipment for stress testing of the patients.

About the Authors

A. S. Krasichkov
Saint Petersburg Electrotechnical University; Pavlov First Saint Petersburg State Medical University
Russian Federation

Alexander S. Krasichkov, Dr. Sci. (Eng.) (2017), Associate Professor of the Department of Radio System 

The author of more than 100 scientific publications. Area of expertise: statistical radio engineering; signal processing. 

5 Professor Popov Str., St Petersburg 197376



E. Mbazumutima
Saint Petersburg Electrotechnical University
Russian Federation

Eliachim Mbazumutima, Master (2019) in Biotechnical Systems and Technologies, postgraduate student of the Department of Bioengineering Systems 

The author of 1 scientific publication. Area of expertise: digital processing of biomedical signals; machine learning; pattern recognition. 

5 Professor Popov Str., St Petersburg 197376



F. Shikama
Saint Petersburg Electrotechnical University
Russian Federation

Fabian Shikama, Master (2016) in Biotechnical Systems and Technologies, postgraduate student of the Department of Bioengineering Systems

Area of expertise: digital processing of biomedical signals; prosthetics and rehabilitation. 

5 Professor Popov Str., St Petersburg 197376



E. M. Nifontov
Pavlov First Saint Petersburg State Medical University
Russian Federation

Evgeny M. Nifontov, Dr. Sci. (Medicine) (2003), Professor (2009) 

The author of more than 150 scientific publications. Area of expertise: fundamental medicine; cardiology. 

6-8 L'va Tolstogo Str., Saint Petersburg 197022



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Review

For citations:


Krasichkov A.S., Mbazumutima E., Shikama F., Nifontov E.M. A Method for Predicting the Main Indicators of Cardiopulmonary Stress Testing for Patients with Chronic Heart Failure. Journal of the Russian Universities. Radioelectronics. 2020;23(1):96-104. https://doi.org/10.32603/1993-8985-2020-23-1-96-104

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ISSN 1993-8985 (Print)
ISSN 2658-4794 (Online)