Heart Rate Variability: A Methodological Survey

Londhe, Aboli N.; Atulkar, Mithilesh

doi:10.1109/iss1.2019.8907985

Cited by 8 publications

(4 citation statements)

References 45 publications

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“…Регу лирование и контроль ВСР осуществляются пара симпатической нервной системой (ПНС) и симпа тической нервной системой (СНС) вегетативной системы управления (ВНС). Кроме того, с помо щью анализа ВСР можно исследовать различные кардиологические и некардиологические заболе вания [16]. Таким образом, исследованиями с ис пользованием анализа ВСР были представлены многочисленные приложения.…”

Section: Discussionunclassified

Dynamics of Heart Rate Variability in Children Operated for Ventricular Septal Defect in Тне Process of Sanatorial Spa Treatment

Каладзе

Iushchenko

Lukyanenko³

et al. 2020

Herald of Physiotherapy and Health Resort Therapy

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The purpose of the study is to study the effectiveness of medical rehabilitation in children operated on for a ventricular septal defect, based on the dynamics of heart rate variability indicators. Material and methods of research. Heart rate variability was evaluated in 75 children operated on for ventricular septal defect. The control group (CG) consisted of 30 healthy children. The effectiveness of medical rehabilitation was assessed by the dynamics of heart rate variability indicators. Children of the 1st group (20 people) took the cardiometabolic drug Elkar at a dose of 30 mg/kg/day for 1 month. With children of the 2nd group (20 people) for 3 months, Nordic walking classes were held (NW). In addition, children of the 2nd group received the drug Elkar for 1 month (30 mg/kg). Results. According to the time analysis of heart rate variability, operated children had significantly lower values of SDNN 82 [69;103] (p<0.001), SDANNi 50.5 [39;87] (p<0.05), SDNNi 69.5 [54;80] (p<0.05), rMSSD 50.5 [39;87] (p<0.05), pNN50 % 18.4 [6.7;28.3] (p<0.05) lower power in the high-frequency range of the spectrum (p<0.001) and a change in the vegetative balance towards the predominance of the sympathetic division of the autonomic nervous system (LF/HF=3.16, p=0.009) than in the control group. After the treatment, there was no reliable HRV dynamics in children who received Elcar. There was a significant difference between SDNN and rMSSD with KG. In the second group, there was a significant increase in HRV according to SDNN data by 37.7 % (p<0.01), SDANNi by 45.6 % (p<0.05), rMSSD by 6.5 % (p<0.05), pNN50 % by 32.7 % (p<0.05). The difference in indicators with CG is leveled. Conclusions. In children operated on for VSD, there was a decrease in the parameters of the time analysis of HRV in comparison with healthy peers (p<0.05). The combined use of Nordic walking and Elkar have a normalizing effect on the HRV, causing a decrease in the tension of the Central circuit of heart rate regulation, significantly increasing the parasympathetic effect on the heart rate.

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Section: Discussionunclassified

Dynamics of Heart Rate Variability in Children Operated for Ventricular Septal Defect in Тне Process of Sanatorial Spa Treatment

Каладзе

Iushchenko

Lukyanenko³

et al. 2020

Herald of Physiotherapy and Health Resort Therapy

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“…HRV analysis can evaluate a variety of cardiological and non-cardiological illnesses. The research done by [20] surveyed HRV and the linear methods involved in the methodological evaluation. The two linear domains are the time domain and frequency domain.…”

Section: Analysis Of Related Surveys and Taxanomiesmentioning

confidence: 99%

A Survey of Evolving Performance Analysis Technologies, Algorithms and Models for Sports

Subramaniam,

Shankar,

Zazali

et al. 2023

IJACSA

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The emergence and extensive development and deployment of Industrial Revolution 4.0 have distinctly transformed the methodologies of sports performance monitoring. Consequently, there has been an increase in the emergence of new and adapted technologies in various areas of sports, such as competition analysis, player performance analysis and many others. There are rich and heterogeneous sports performance analysis technologies, algorithms and frameworks which provide constant basis for elevating new horizons of sports technologies. Thus, this paper aims to encompass significant findings that will provide a comprehensive survey in this area. Previous surveys have extensively focused on various methodologies of sports performance analysis, sport-specific analysis and other technology revolving around sports performance analysis. However, most of the focus is largely on training and competition performances and not off-field. The objective of this paper is to understand the current research trends, challenges and future directions of dynamically evolving technology embedded in the world of sports. This survey aims at contributing to this rich repository but with a new focus element of off-field that researches the connection between the athlete, the sports aspect of their life, the non-sport aspect and the methodologies of sports performance analysis. In addition, the exponential growth of Artificial Intelligence (AI) as a base for sports performance analysis systems and platforms is analysed extensively. This paper also presents a comprehensive classification of athlete performance analysis using algorithm tools and sports performance platforms and systems. Subsequently, the detailed analysis of this taxonomy has enabled the identification and detailed analysis of open issues and future directions.

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“…One of the most prominent applications of seismocardiography and gyrocardiography is heart rate variability (HRV) analysis [ 16 , 18 , 22 , 31 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ]. Heart rate variability is defined as the physiological variation in the intervals between consecutive heartbeats (inter-beat interval) and reflects the activity of the autonomic nervous system [ 56 , 57 , 58 ].…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases

Sieciński

Tkacz

Kostka

2023

Sensors

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Heart rate variability (HRV) is the physiological variation in the intervals between consecutive heartbeats that reflects the activity of the autonomic nervous system. This parameter is traditionally evaluated based on electrocardiograms (ECG signals). Seismocardiography (SCG) and/or gyrocardiography (GCG) are used to monitor cardiac mechanical activity; therefore, they may be used in HRV analysis and the evaluation of valvular heart diseases (VHDs) simultaneously. The purpose of this study was to compare the time domain, frequency domain and nonlinear HRV indices obtained from electrocardiograms, seismocardiograms (SCG signals) and gyrocardiograms (GCG signals) in healthy volunteers and patients with valvular heart diseases. An analysis of the time domain, frequency domain and nonlinear heart rate variability was conducted on electrocardiograms and gyrocardiograms registered from 29 healthy male volunteers and 30 patients with valvular heart diseases admitted to the Columbia University Medical Center (New York City, NY, USA). The results of the HRV analysis show a strong linear correlation with the HRV indices calculated from the ECG, SCG and GCG signals and prove the feasibility and reliability of HRV analysis despite the influence of VHDs on the SCG and GCG waveforms.

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Heart Rate Variability: A Methodological Survey

Cited by 8 publications

References 45 publications

Dynamics of Heart Rate Variability in Children Operated for Ventricular Septal Defect in Тне Process of Sanatorial Spa Treatment

Dynamics of Heart Rate Variability in Children Operated for Ventricular Septal Defect in Тне Process of Sanatorial Spa Treatment

A Survey of Evolving Performance Analysis Technologies, Algorithms and Models for Sports

Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases

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