scholarly journals Autonomic Nervous System Effects on the Atrioventricular Conduction Time - Heart Period Relationship During Physical Exercise and Passive Recovery

2018 ◽  
Author(s):  
Grégory Blain ◽  
Guillaume Ducrocq ◽  
Mathilde Peraldi ◽  
Olivier Meste
Keyword(s):  
Nervous System ◽  
Autonomic Nervous System ◽  
Physical Exercise ◽  
Atrioventricular Conduction ◽  
Conduction Time ◽  
Heart Period ◽  
Autonomic Nervous ◽  
Passive Recovery

Effects of physical exercise on the autonomic nervous system in patients with coronary artery disease: a systematic review

2020 ◽  
Vol 18 (11) ◽  
pp. 749-759
Author(s):  
Thainá de Gomes Figueiredo ◽  
Helga Cecília Muniz de Souza ◽  
Victor Ribeiro Neves ◽  
Ana Eugênia Vasconcelos do Rêgo Barros ◽  
Armèle de Fátima Dornelas de Andrade ◽  
...  
Keyword(s):  
Systematic Review ◽  
Coronary Artery Disease ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Coronary Artery ◽  
Physical Exercise ◽  
Autonomic Nervous ◽  
Artery Disease

4. Shedding light on the clock

2017 ◽  
pp. 45-61
Author(s):  
Russell G. Foster ◽  
Leon Kreitzman
Keyword(s):  
Nervous System ◽  
Autonomic Nervous System ◽  
Physical Exercise ◽  
Circadian Clock ◽  
Suprachiasmatic Nucleus ◽  
Human Body ◽  
Circadian Clocks ◽  
Autonomic Nervous ◽  
Over Time ◽  
Daily Patterns

Most circadian clocks make use of a sun-based mechanism as the primary entraining signal to lock the internal day to the astronomical day. For nearly four billion years, dawn and dusk has been the main zeitgeber that allows entrainment. Circadian clocks are not exactly 24 hours. So to prevent daily patterns of activity and rest from freerunning over time, light can reset the clock. ‘Shedding light on the clock’ explains that the main circadian clock has been located in the suprachiasmatic nucleus in the hypothalamus. This also regulates the activity of the autonomic nervous system, but there are clocks in virtually every cell in the human body. Other zeitgebers include food, physical exercise, and temperature.

scholarly journals RELATIONSHIP BETWEEN THE CARDIOVASCULAR SYSTEM AND THE AUTONOMIC NERVOUS SYSTEM DURING THE PHYSICAL LOAD IN PERSONS WITH DIFFERENT BODY MASS

2020 ◽  
Vol 20 (2) ◽  
pp. 108-113
Author(s):  
Kh. Boryak
Keyword(s):  
Nervous System ◽  
Autonomic Nervous System ◽  
Physical Exercise ◽  
Cardiovascular System ◽  
Body Mass ◽  
Vascular System ◽  
The Body ◽  
Control Group ◽  
Autonomic Nervous ◽  
Normal Body

The rapid increase in the number of overweight and obese individuals poses a significant threat to the health of the world's population of all ages. Obesity is able to induce a condition of chronic low-intensity inflammation underlying the number of diseases, and, in particular, the diseases of the cardiovascular system. The aim of the study was to determine the relationship between the response of the cardiovascular system and the state of autonomic nervous system to graduated physical exercises in young adults with normal body weight and overweight. Anthropometric measurements of 84 individuals of both sexes aged 18-25 years were carried out. According to the body mass index (BMI), the following groups were defined: control group of 22 individuals (BMI 18,50-24,99 kg/m2), group with overweight individuals (n=20) of both sexes (BMI 25,00-29,99 kg/m2). The condition of the cardio-vascular system was evaluated by heart rate, systolic and diastolic blood pressure; the status of autonomic nervous system was assessed by the Kerdo index. Indicators were evaluated before and immediately after the graduated exercise test. Data obtained were processed statistically. According to the results of the study, the normotоnic type by its response to the physical exercise was found out in both study groups, but the overweight individuals of both sexes demonstrated the cardiovascular indicators were significantly higher compared to the control group. Having finished the physical exercise tests, overweight men and women showed marked sympathicotonia (≥ + 31). The Kerdo᾿s index in 29,65% of male and in 19,01% of female individuals was higher than in the individuals with normal body mass (p <0.05). It can be concluded that the dominance of sympathetic influences is characteristic for overweight individuals after physical activity. Correlation between anthropometric, cardiovascular and Kerdo᾿s index immediately following the physical exertion in overweight individuals indicate impaired autonomic nervous system balance restoration.

scholarly journals Use of Mobile Technology Paired with Heart Rate Monitor to Remotely Quantify Behavioral Health Markers among Military Reservists and First Responders

2021 ◽  
Vol 186 (Supplement_1) ◽  
pp. 17-24
Author(s):  
Maria I Davila ◽  
Paul N Kizakevich ◽  
Randy Eckhoff ◽  
Jessica Morgan ◽  
Sreelatha Meleth ◽  
...  
Keyword(s):  
Heart Rate ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Respiratory Sinus Arrhythmia ◽  
Low Frequency ◽  
Physiological Data ◽  
Heart Period ◽  
Sinus Arrhythmia ◽  
Heart Rate Monitor ◽  
Autonomic Nervous

ABSTRACT Introduction Heart rate variability (HRV) is a biological marker that reflects an individual’s autonomic nervous system regulation. Psychological resilience is an individual’s ability to recover from an adverse event and return to physiological homeostasis and mental well-being, indicated by higher resting HRV. The Biofeedback Assisted Resilience Training (BART) study evaluates a resilience-building intervention, with or without HRV biofeedback. This article evaluates the feasibility of remote psychophysiological research by validating the HRV data collected. Materials and Methods The BART platform consists of a mobile health application (BART app) paired to a wearable heart rate monitor. The BART app is installed on the participant’s personal phone/tablet to track and collect self-report psychological and physiological data. The platform collects raw heart rate data and processes HRV to server as online biofeedback. The raw data is processed offline to derive HRV for statistical analysis. The following HRV parameters are validated: inter-beat interval, respiratory sinus arrhythmia, low-frequency HRV, biofeedback HRV, and heart period. Bland–Altman and scatter plots are used to compare and contrast online and offline HRV measures. Repeated-measures ANOVA are used to compared means across tasks during the stress (rest, stress, and recovery) and training (rest and paced breathing) sessions in order to validate autonomic nervous system changes to physiological challenges. Results The analyses included 245 participants. Bland–Altman plots showed excellent agreement and minimal bias between online and offline unedited inter-beat interval data during the stress session. RMANOVA during the training session indicated a significant strong effect on biofeedback HRV, F(11,390) = 967.96, P &lt; .01. During the stress session, RMANOVA showed significant strong effect on respiratory sinus arrhythmia and low-frequency HRV, and a significant but weak effect on heart period. Conclusions The BART digital health platform supports remote behavioral and physiological data collection, intervention delivery, and online HRV biofeedback.

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