Physical activity influences heart rate variability and very-low-frequency components in Holter electrocardiograms

Bernardi, Luciano; Valle, Fernando Cano; Coco, M.; Calciati, A; Sleight, Peter

doi:10.1016/0008-6363(96)00081-8

Cited by 215 publications

(148 citation statements)

References 15 publications

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“…24 -28 Abnormal breathing patterns and physical inactivity are common in CHF, and concerns have been raised as to whether this will limit the prognostic utility of HRV analysis in this patient group. 27,28 The data from UK-HEART confirm that HRV analysis remains useful in CHF and that it is not necessary to control for the effects of respiratory pattern or physical activity when measurements are used for prognostic purposes.…”

Section: Discussionmentioning

confidence: 84%

Prospective Study of Heart Rate Variability and Mortality in Chronic Heart Failure

Nolan

Batin²,

Andrews³

et al. 1998

Circulation

1,016

229

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Background-Patients with chronic heart failure (CHF) have a continuing high mortality. Autonomic dysfunction may play an important role in the pathophysiology of cardiac death in CHF. UK-HEART examined the value of heart rate variability (HRV) measures as independent predictors of death in CHF. Methods and Results-In a prospective study powered for mortality, we recruited 433 outpatients 62Ϯ9.6 years old with CHF (NYHA functional class I to III; mean ejection fraction, 0.41Ϯ0.17). Time-domain HRV indices and conventional prognostic indicators were related to death by multivariate analysis. During 482Ϯ161 days of follow-up, cardiothoracic ratio, SDNN, left ventricular end-systolic diameter, and serum sodium were significant predictors of all-cause mortality.The risk ratio for a 41.2-ms decrease in SDNN was 1.62 (95% CI, 1.16 to 2.44). The annual mortality rate for the study population in SDNN subgroups was 5.5% for Ͼ100 ms, 12.7% for 50 to 100 ms, and 51.4% for Ͻ50 ms. SDNN, creatinine, and serum sodium were related to progressive heart failure death. Cardiothoracic ratio, left ventricular end-diastolic diameter, the presence of nonsustained ventricular tachycardia, and serum potassium were related to sudden cardiac death. A reduction in SDNN was the most powerful predictor of the risk of death due to progressive heart failure. Conclusions-CHF is associated with autonomic dysfunction, which can be quantified by measuring HRV. A reduction in SDNN identifies patients at high risk of death and is a better predictor of death due to progressive heart failure than other conventional clinical measurements. High-risk subgroups identified by this measurement are candidates for additional therapy after prescription of an ACE inhibitor. (Circulation. 1998;98:1510-1516.)

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Section: Discussionmentioning

confidence: 84%

Prospective Study of Heart Rate Variability and Mortality in Chronic Heart Failure

Nolan

Batin²,

Andrews³

et al. 1998

Circulation

1,016

229

View full text Add to dashboard Cite

show abstract

“…Although HRV can be influenced by physical activity [2], there was no need to take such an effect into consideration in this study because of little difference in locomotor activity between control and stress-expecting or stress-received states. There were many freezing responses in stress-expecting or stress-received states, although no freezing response was observed in control sessions.…”

Section: Discussionmentioning

confidence: 99%

Effects of Psychological Stress on Autonomic Control of Heart in Rats

2004

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Abstract:The aim of this study was to examine the effects of psychological stress on autonomic control of the heart in rats. For this purpose, we evoked anxiety-like or fear-like states in rats by means of classical conditioning and examined changes in autonomic nervous activity using an implanted telemetry system and power spectral analysis of heart rate variability. Anxiety-like states resulted in a significant increase in heart rate (HR), low frequency (LF) power, and LF/HF ratio, with no change in high frequency (HF) power. Fear-like states resulted in a significant increase in HR and a significant decrease in HF power with no significant change in both LF power and LF/HF ratio, although LF/HF ratio increased slightly. These results suggest that autonomic balance becomes predominant in sympathetic nervous activity in both anxiety-like and fear-like states. These changes in rats correspond to changes which are relevant to cardiovascular diseases in humans under many kinds of psychological stress. Therefore, the experimental design of this study is a useful experimental model for investigating the effects of psychological stress on autonomic control of the heart in humans.

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“…HRV was previously used as a major marker for stress [36] and has also been shown to decrease with increased physical effort [37], which is the case in treadmill walking. Physical effort of walking might have occluded psychological influence of stress on HRV, which is why HRV might not have changed significantly in our subjects.…”

Section: Influence Of Physical Activity Neurological Deficits and Mmentioning

confidence: 99%

Psychological state estimation from physiological recordings during robot-assisted gait rehabilitation

Koenig

Omlin

Zimmerli

et al. 2011

JRRD

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Abstract-Robot-assisted treadmill training is an established intervention used to improve walking ability in patients with neurological disorders. Although it has been shown that attention to the task is a key factor for successful rehabilitation, the psychological state of patients during robot-assisted gait therapy is often neglected. We presented 17 nondisabled subjects and 10 patients with neurological disorders a virtual-reality task with varying difficulty levels to induce feelings of being bored, excited, and overstressed. We developed an approach to automatically estimate and classify a patient's psychological state, i.e., his or her mental engagement, in real time during gait training. We used psychophysiological measurements to obtain an objective measure of the current psychological state. Automatic classification was performed by a neural network. We found that heart rate, skin conductance responses, and skin temperature can be used as markers for psychological states in the presence of physical effort induced by walking. The classifier achieved a classification error of 1.4% for nondisabled subjects and 2.1% for patients with neurological disorders. Using our new method, we processed the psychological state data in real time. Our method is a first step toward real-time auto-adaptive gait training with potential to improve rehabilitation results by optimally challenging patients at all times during exercise.

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Physical activity influences heart rate variability and very-low-frequency components in Holter electrocardiograms

Cited by 215 publications

References 15 publications

Prospective Study of Heart Rate Variability and Mortality in Chronic Heart Failure

Prospective Study of Heart Rate Variability and Mortality in Chronic Heart Failure

Effects of Psychological Stress on Autonomic Control of Heart in Rats

Psychological state estimation from physiological recordings during robot-assisted gait rehabilitation

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