scholarly journals CODESNA_HRV, a new tool to assess the activity of the autonomic nervous system from heart rate variability

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Mourot L
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Autonomic Nervous

Efeito da manipulação vertebral sobre a modulação autonômica cardíaca

2016 ◽  
Vol 17 (5) ◽  
pp. 498
Author(s):  
Alyssa Conte Da Silva ◽  
Juliana Falcão Padilha ◽  
Jefferson Luiz Brum Marques ◽  
Cláudia Mirian De Godoy Marques
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Spinal Manipulation ◽  
Autonomic Modulation ◽  
Autonomic Nervous ◽  
Cardiac Autonomic Modulation

Introdução: Existem poucos estudos que evidenciam a manipulação vertebral relacionada à modulação autonômica cardíaca. Objetivo: Revisar a literatura sobre os efeitos da manipulação vertebral sobre a modulação autonômica cardíaca. Métodos: Foi realizada uma busca bibliográfica nas bases de dados da saúde Medline, Pubmed e Cinahl, no período correspondido entre setembro e novembro de 2014. Foram utilizados os descritores em inglês Spinal Manipulation, Cardiac Autonomic Modulation, Autonomic Nervous System, Heart Rate Variability, além de associações entre eles. Resultados: Foram encontrados 190 artigos, sendo excluídos 39 por serem repetidos, restando 151. Destes, 124 não se encaixaram nos critérios de inclusão e após leitura crítica e análise dos materiais foram selecionados 7 artigos. Grande parte dos estudos revelou que a manipulação da coluna, independente do segmento, demonstra alterações autonômicas, tanto em nível simpático quanto parassimpático. Conclusão: Existem diferentes metodologias para avaliação da modulação autonômica cardíaca, sendo a Variabilidade da Frequência cardíaca através do eletrocardiograma a mais utilizada. A manipulação vertebral exerceu influência, na maioria dos artigos, sobre a modulação autonômica cardíaca.Palavras-chave: manipulação da coluna, sistema nervoso autônomo, variabilidade da frequência cardíaca. 

scholarly journals Effects of exercise on cardiac autonomic modulation in children: literature update

2015 ◽  
Vol 28 (3) ◽  
pp. 627-636 ◽  
Author(s):  
Gustavo Henrique de Oliveira Mondoni ◽  
Luiz Carlos Marques Vanderlei ◽  
Bruno Saraiva ◽  
Franciele Marques Vanderlei
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Parasympathetic Nervous System ◽  
Healthy Children ◽  
Autonomic Modulation ◽  
Healthy Development ◽  
Autonomic Nervous ◽  
Cardiac Autonomic Modulation

AbstractIntroduction It is known that physical exercise is beneficial and precipitates adjustments to the autonomic nervous system. However, the effect of exercise on cardiac autonomic modulation in children, despite its importance, is poorly investigated.Objective To bring together current information about the effects of exercise on heart rate variability in healthy and obese children.Methods The literature update was performed through a search for articles in the following databases; PubMed, PEDro, SciELO and Lilacs, using the descriptors “exercise” and “child” in conjunction with the descriptors “autonomic nervous system”, “sympathetic nervous system”, “parasympathetic nervous system” and also with no descriptor, but the key word of this study, “heart rate variability”, from January 2005 to December 2012.Results After removal of items that did not fit the subject of the study, a total of 9 articles were selected, 5 with healthy and 4 with obese children.Conclusion The findings suggest that exercise can act in the normalization of existing alterations in the autonomic nervous system of obese children, as well as serve as a preventative factor in healthy children, enabling healthy development of the autonomic nervous system until the child reaches adulthood.

scholarly journals Correction: Developmental milestones of the autonomic nervous system revealed via longitudinal monitoring of fetal heart rate variability

PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0202611
Author(s):  
Uwe Schneider ◽  
Franziska Bode ◽  
Alexander Schmidt ◽  
Samuel Nowack ◽  
Anja Rudolph ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Developmental Milestones ◽  
Autonomic Nervous ◽  
Fetal Heart Rate Variability

Assessment of Autonomic Nervous System by the Analysis of Heart Rate Variability in Patients with Variant Angina

1999 ◽  
Vol 29 (6) ◽  
pp. 590 ◽  
Author(s):  
Hae Ok Jung ◽  
Ki Bae Seung ◽  
Hyo Young Lim ◽  
Dong Heon Kang ◽  
Ki Yuk Chang ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Variant Angina ◽  
Autonomic Nervous

scholarly journals Analysis of heart rate variability in corn snakes (Pantherophis guttatus)

2021 ◽  
Vol 10 (11) ◽  
pp. e294101119781
Author(s):  
Antonio Gomes da Silva Neto ◽  
Daniel Souza Ferreira Magalhães ◽  
Raduan Hage ◽  
Laurita dos Santos ◽  
José Carlos Cogo
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Low Frequency ◽  
Autonomic Nervous ◽  
Rr Interval ◽  
Diagnosis And Prognosis ◽  
Frequency Domains ◽  
The Time Domain

The assessment of heart rate variability (HRV) by linear methods in conjunction with Poincaré plots can be useful for evaluating cardiac regulation by the autonomic nervous system and for the diagnosis and prognosis of heart disease in snakes. In this report, we describe an analysis of HRV in conscious adult corn snakes Pantherophis guttatus (P. guttatus).  The electrocardiogram (ECG) parameters were determined in adult corn snakes (8 females, 13 males) and used for HRV analysis, and the RR interval was analyzed by linear methods in the time and frequency domains. There was no sex-related difference in heart rate. However, significant differences were seen in the duration of the P, PR, and T waves and QRS complex; there was no difference in the QT interval. The values for the RR interval varied by 15.3% and 18.8% in male and female snakes, respectively, and there was considerable variation in the values for the high and low frequency domains. The changes in the time domain were attributed to regulation by the parasympathetic branch of the autonomic nervous system, in agreement with variations in the high and low frequency domains. The values for standard deviations 1 and 2 in Poincaré plots, as well as the values of the frequency domain, provide useful parameters for future studies of cardiac function in P. guttatus.

scholarly journals Quantitative assessment of autonomic nervous system responses induced by graded training workloads in healthy elderly, through indices obtained from heart rate variability analysis

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
R Fenici ◽  
M Picerni ◽  
D Brisinda
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Quantitative Assessment ◽  
Training Session ◽  
Time Varying ◽  
Autonomic Nervous ◽  
Healthy Elderly ◽  
Hrv Analysis

Abstract Background Quantitative assessment of individual body adaptability to physical training performed with the purposes of health maintenance is particularly necessary in the elderly age, to avoid the risk of overstrain induced by inappropriate exercises workload and physical stress. For that purpose, heart rate monitors and heart rate variability (HRV) analysis are nowadays commercially available. However, their reliability to guide individualized fitness training in elderly people needs to be tested, knowing that users might not have medical education. Objective To preliminary quantify autonomic nervous system (ANS) responses to graded physical effort and recovery in healthy elderly basing on the parasympathetic nervous system (PNSi), the sympathetic nervous system (SNSi) and the stress (STRi) indices, derived by short-term and time-varying HRV analysis. Methods ECG of a 75 healthy male subject was monitored, from April to November 2020, during three times/week training sessions with a professional bike–ergometer. Each session consisted of 10 minutes baseline rest, 5 minutes warm-up, 30 minutes work and 10 minutes recovery. According to age, the training workload was graded from low (65–75 watt/min), to moderate (75–85 watt/min), semi-intensive (85–95 watt/min) and intensive (95–110 watt/min). For this pilot study, ECG data of only 40 training sessions (10 sessions for each workload to evaluate reproducibility) were analyzed with Kubios Premium software (version 3.4.1), in the time (TD) and frequency (FD) domains, with nonlinear (NL) methods and with time-varying (TV) algorithms. Short-time HRV was calculated from 2-minutes intervals. The PNSi, SNSi and STRi induced by each workload were averaged and compared. Results Average values of PNSi, SNSi and STRi were significantly different (p<0.05) among training sessions carried out with different workloads (Table 1A) and among measurements obtained at rest, at every 5 minutes step of each 30 minutes training session, and at 1 and 5 minutes of recovery (Table 1B). Interestingly, the correlation between SNSi and STRi was strictly linear (R= 0,98), whereas that between PNSi and STRi was better fitted by a cubic function (R=0,82 with cubic vs 0.68 with linear function), when evaluated either as a function of the sessions' workloads (Figure 1A), or of four time-intervals of each training session (Figure 1B). PNSi and SNSi were inversely correlated, with cross-point at about 15 minutes of training and 75 watt/min workload. Conclusions The calculation of PNSi, SNSi and STRi from HRV analysis is an efficient method for quick and simplified quantitative assessment of dynamic ASN adaptation to effort-induced stress from HRV analysis. If confirmed, the method may be useful for safer and even remote monitoring of training/rehabilitation in elderly. However, more detailed evaluation of spectral and NL parameters may be necessary to interpret more complex patterns of abnormal cases. FUNDunding Acknowledgement Type of funding sources: None. Table 1 Figure 1

scholarly journals Heart rate variability changes in mild-symptomatic, physically fit male in 4-6 weeks from the end of SARS-Cov-2 infection

2021 ◽  
Author(s):  
Mateusz Soliński ◽  
Agnieszka Pawlak ◽  
Monika Petelczyc ◽  
Teodor Buchner ◽  
Joanna Aftyka ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Respiratory Rhythm ◽  
Frequency Component ◽  
Night Time ◽  
Control Male ◽  
Autonomic Nervous ◽  
Male Subjects

Abstract SARS-Cov-2 infection, due to inflammation processes, can affect autonomic nervous system and heart rate variability (HRV) even after disease. Previous studies showed significant changes in HRV parameters in severe (including fatal) infection of SARS-Cov-2. However, HRV analysis for the asymptomatic or mild-symptomatic Covid-19 patients have not been reported. In this study, we suggested that there is an influence of a SARS-Cov-2 infection on the HRV in such patients after weeks form disease.Sixty-five ECG Holter recordings from young (mean age 22.6 ± 3.4 years), physically fit male subjects after 4-6 weeks from the second negative test (considered to be the beginning of recovery) and twenty-six control male subjects (mean age 23.2 ± 2.9 years) were considered in the study. Night-time RR time series were extracted from ECG signals. Selected linear, frequency as well as nonlinear HRV parameters were calculated. We found significant differences in Porta’s symbolic analysis parameters V0 and V2 (p<0.001), α2 (p<0.001), very low frequency component (VLF; p=0.022), and respiratory peak (from PRSA method; p=0.012). These differences may be caused by the changes of the parasympathetic autonomic nervous system as well as by the coupling of respiratory rhythm with heart rate due to an increase in pulmonary arterial vascular resistance.The results suggest that the changes in the HRV, thus autonomic nervous system, are measurable after a few weeks from the beginning of the recovery even in the post-Covid group of young and physically active population. We indicated HRV sensitive markers which could be used in the long-term monitoring of recovered patients.

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