Electrophysiological adaptations to endurance and strength training

Karavirta, Laura

doi:10.1016/b978-0-12-817728-0.00027-9

Cited by 3 publications

(3 citation statements)

References 67 publications

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“…Data exclusion is essential for HRV analysis as abnormal beats may compromise the reliability of HRV [ 27 ]. Karavirta stated that RR intervals between 400 to 2000 ms can be considered normal at rest [ 28 ]. Therefore, the arousal events were excluded if abnormal RR intervals (<400 ms or >2000 ms) were found in either of the three segments.…”

Section: Methodsmentioning

confidence: 99%

Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm

et al. 2023

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Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-disordered breathing. Changes in heart rate variability (HRV) can represent pathological conditions associated with autonomic nervous system dysfunction. Previous studies showed changes in cardiac activity due to cortical arousals. However, few studies have examined the instantaneous association between cortical arousal and HRV in an ethnically diverse population. In this study, we included 1,069 subjects’ full night ECG signals from unattended polysomnography in the Multi-Ethnic Study of Atherosclerosis dataset. An automated deep learning tool was employed to annotate arousal events from ECG signals. The etiology (e.g., respiratory, or spontaneous) of each arousal event was classified through a temporal analysis. Time domain HRVs and mean heart rate were calculated on pre-, intra-, and post-arousal segments of a 25-s period for each arousal event. We observed that heart rate and HRVs increased during the arousal onsets in the intra-arousal segments, regardless of arousal etiology. Furthermore, HRVs response to cortical arousal occurrence differed according to gender and the sleep stages in which arousal occurred. The more intense HRVs variation due to arousal in females can contribute to a potentially stronger association between arousal burden and long-term mortality. The excessive abrupt sympathetic tone elevation in REM caused by arousal may provide insights on the association between sleep and sudden cardiac death.

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Section: Methodsmentioning

confidence: 99%

Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm

et al. 2023

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“…Heart rate was measured in a supine, standing, during each minute of exercise, at maximum exercise, and in recovery at 1, 2, 3, and 5 min. Heart rate recovery was defined as (maximum heart rate -heart rate at a specified time period after exercise) and represented the drop in heart rate during that time interval [36,37].…”

Section: Participantsmentioning

confidence: 99%

Effects of low intensity interval training on physiological variables of university students

Ketema

2021

ppcs

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Background and Study Aim. This study was to investigate the effects of low-intensity interval training on the physiological variables of university students. Material and Methods. Forty male sports science students aged 18-25 years were randomly assigned to the Experimental group (n=20) and the Control group (n=20). The Experimental group underwent low-intensity interval training for eight weeks, whereas the Control group did not. Measurements of physiological variables such as resting heart rate, respiratory rate, recovery heart rate, breath-hold time, maximal oxygen uptake, and blood pressure were obtained for all subjects before and after the intervention. To compare the mean physiological variables between the experimental and control groups, an independent samples t-test was used. Results. Statistical significance was set at p 0.05. After the training intervention, the experimental group showed significantly better improvements than the control group in resting heart rate, respiratory rate, recovery heart rate, breath-holding time, maximal oxygen uptake, and blood pressure (p 0.05). Post intervention maximum oxygen uptake was statistically significant with t (38) = 3.086, p value 0.004. Post experiment systolic blood pressure was statistically significant with t (38) = -2.405, p value 0.021 for low intensity interval training and control group. Post experiment diastolic blood pressure was statistically highly significant with t (38) = 0.569, p value 0.001 for low intensity interval training and control group. The result of the study showed that there was a significant difference in post rest heart rate, respiratory rate, recovery heart rate, systolic blood pressure, diastolic blood pressure, breath holding and maximal oxygen uptake between the low intensity interval training and the control group (p 0.05). Conclusions. Thus, it was concluded that eight weeks of low-intensity interval training show significant improvement in physiological variables of university students.

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“…26 It is known that low HRV is an independent predictor of cardiovascular mortality and sudden cardiac death, is related to higher skinfold thickness, higher body mass index (BMI), higher body fat percentages, and lower levels of physical activity. [27][28][29] Furthermore, reduced physical activity and cardiorespiratory fitness are also potential risk factors contributing to cardiovascular diseases 30 which are worsened by higher associated adiposity indices. 31 Research shows that increased epicardial fat thickness is related to a lack of physical activity, impacting the autonomic nervous system.…”

Section: Introductionmentioning

confidence: 99%

Association of physical activity and heart rate variability in people with overweight and obesity: A systematic review

Sinha

Vaishali²,

Maiya³

et al. 2023

F1000Res

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Background: Obesity is a major public health issue globally which is intrinsically linked to reduced heart rate variability (HRV). Physical inactivity and reduced resting HRV are linked to an increased risk of coronary heart disease, while athletes have a greater HRV. However, the exact correlation between physical activity and HRV remains uncertain. This systematic review aims to collect, report, and critically assess the current scientific literature about the association between physical activity and HRV in individuals with higher weight and obesity. Methods: A systematic search was carried out in electronic databases (Medline/PubMed, SCOPUS and CINAHL Plus) to retrieve studies that evaluated the relationship between physical activity and HRV in individuals with higher weight and obesity. Case-control, longitudinal/cohort, cross-sectional and observational studies were included. Using a critical narrative approach, information about the HRV, and physical activity was extracted and synthesized. The study was registered in PROSPERO: CRD42020208018 on October 9 2020. Results: After removing duplicates, 980 title/abstract records were checked for eligibility, and 12 papers were finally included in the narrative synthesis. The included studies contained physical activity as well as HRV in adults with higher weight or obesity with or without comorbidities. A negative relationship between moderate to vigorous physical activity and HRV indices had been found in two studies. There was also a negative relationship between sedentary time and HF (p = 0.049) and LF/HF (p = 0.036), as well as a positive relationship between sedentary time and LF (p = 0.014). Also dose-response association was found between vigorous exercise and higher SDNN, LF power, and HF power in one of the studies. Conclusions: This systematic review revealed a wide range of responses to physical activity and HRV; however, the current evidence uses a variety of approaches to objectively assess physical activity and measure HRV with different equipment.

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Electrophysiological adaptations to endurance and strength training

Cited by 3 publications

References 67 publications

Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm

Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm

Effects of low intensity interval training on physiological variables of university students

Association of physical activity and heart rate variability in people with overweight and obesity: A systematic review

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