Specialized Software System for Heart Rate Variability Analysis: An Implementation of Nonlinear Graphical Methods

Gospodinova, Еvgeniya; Gospodinov, Mitko; Dey, Nilanjan; Domuschiev, Ivan; Ashour, Amira S.; Balas, Sanda V.; Olariu, Teodora

doi:10.1007/978-3-319-62521-8_31

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…In this study, the following non-linear methods [ 63 ] were used to analyze the cardiac data: Determination of the Hurst exponent (H) performed via the Rescaled adjusted range Statistics plot (R/S). Studies conducted on cardiac signals show that they have a fractal structure characterized by self-similarity.…”

Section: Methodsmentioning

confidence: 99%

Interactive Cardio System for Healthcare Improvement

Georgieva-Tsaneva

2023

Sensors

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The paper presents an interactive cardio system that can be used to improve healthcare. The proposed system receives, processes, and analyzes cardio data using an Internet-based software platform. The system enables the acquisition of biomedical data using various means of recording cardiac signals located in remote locations around the world. The recorded discretized cardio information is transmitted to the system for processing and mathematical analysis. At the same time, the recorded cardio data can also be stored online in established databases. The article presents the algorithms for the preprocessing and mathematical analysis of cardio data (heart rate variability). The results of studies conducted on the Holter recordings of healthy individuals and individuals with cardiovascular diseases are presented. The created system can be used for the remote monitoring of patients with chronic cardiovascular diseases or patients in remote settlements (where, for example, there may be no hospitals), control and assistance in the process of treatment, and monitoring the taking of prescribed drugs to help to improve people’s quality of life. In addition, the issue of ensuring the security of cardio information and the confidentiality of the personal data of health users is considered.

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Section: Methodsmentioning

confidence: 99%

Interactive Cardio System for Healthcare Improvement

Georgieva-Tsaneva

2023

Sensors

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“…For this reason, the determination of spectral power generally requires the use of a five-minute cardiac record. Spectral analysis parameters are used to evaluate the influence of the autonomic nervous system [27]. The parasympathetic branch of the autonomic nervous system is responsible for relaxation, rest, preservation of vital energy, lowers heart rate and lowers blood pressure.…”

Section: Hrv Frequency Domain Analysismentioning

confidence: 99%

Time and Frequency Analysis of Heart Rate Variability Data in Heart Failure Patients

Georgieva-Tsaneva¹

2019

IJACSA

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The paper presents a mathematically based analysis of heart rate variability of two groups cardiology records: healthy individuals and patients diagnosed with heart failure. The main objective of the study is to perform a parametric evaluation of the cardiovascular system of the human body using time domain and frequency domain analysis of heart rate variability. Making distinguish between diseased individuals and healthy individuals is an interesting challenge that contemporary researchers are working on. Cardiologic records obtained through continuous Holter monitoring (24 hours) were used to address the issues in this study. The obtained results show significantly reduced values of most of the studied parameters in the time domain and the frequency domain in patients with heart failure compared to healthy individuals. The low values of the studied parameters indicate low variability of heart rate and poor overall health status. The graphical results of two study groups are shown when applying the modified Welch periodogram. These graphical results give a visual idea of the variability of time series in healthy and diseased individuals. The obtained numeric and graphical results show that heart failure patients can be distinguished from healthy individuals. The applied mathematical methods in heart rate variability studying can be used as an aid in the cardiology practice of doctors.

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Time Series Analysis Using Fractal and Multifractal Methods

Gospodinova

2019

Proceedings of the 20th International Conference on Computer Systems and Technologies

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Specialized Software System for Heart Rate Variability Analysis: An Implementation of Nonlinear Graphical Methods

Cited by 7 publications

References 17 publications

Interactive Cardio System for Healthcare Improvement

Interactive Cardio System for Healthcare Improvement

Time and Frequency Analysis of Heart Rate Variability Data in Heart Failure Patients

Time Series Analysis Using Fractal and Multifractal Methods

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