Effect of Respiration in Heart Rate Variability (HRV) Analysis

Aysin, Benhur; Aysin, Elif

doi:10.1109/iembs.2006.4397768

Cited by 9 publications

(15 citation statements)

References 6 publications

(6 reference statements)

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“…It has been shown the controlled breathing enables easier separation of the LF and HF bands. 6,27 However, controlled metronome breathing will also increase the HF band and thereby it may shift the sympathovagal balance toward vagal predominance. 28 It should be noted that the sample sizes are relatively small in the patient groups with late stage complications.…”

Section: Discussionmentioning

confidence: 99%

The Degree of Autonomic Modulation Is Associated With the Severity of Microvascular Complications in Patients With Type 1 Diabetes

Fleischer

Cichosz

Jakobsen

et al. 2015

J Diabetes Sci Technol

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Neurological and Microvascular FunctionHeart rate variability (HRV) is a widely accepted noninvasive measure of balance/imbalance in the autonomic nervous system, HRV is defined as the variation in heart rate from beat to beat (RR interval) caused by changes in breathing, blood pressure, sympathoadrenal hormones, as well as mental, physical, and certain pathological conditions. In the general population, low HRV has been associated with compromised health and independently predicts all-cause mortality. [1][2][3] Moreover, in diabetes patients, the presence of autonomic dysfunction has been suggested as a prognostic marker of complications 4,5 and the presence of autonomic dysfunction may occur before other late complications. 5Detailed HRV analysis, including both cardiovascular reflex tests and frequency domain analysis, are an important tool to estimate cardiac autonomic nervous activity. 6,7 Several studies indicate that spectral analysis in particular, describing frequency-specific fluctuations in heart rate, may be a more sensitive tool to detect autonomic imbalance compared to active tests. 8,9 However, it is unknown if the cardiovascular reflex tests and frequency domain analysis decrease according to the severity of microvascular complications or are limited to diagnose cardiovascular autonomic neuropathy (CAN).The objective of this study was therefore to elucidate the association between the degree of autonomic modulation, The objective of this study was to elucidate whether the degree of autonomic modulation is associated with the degree of microvascular complications in patients with type 1 diabetes. Methods: A total of 290 type 1 individuals with diabetes were randomly recruited during normal visits to outpatient clinics at 4 Danish hospitals. The degree of autonomic modulations was quantified by measuring heart rate variability (HRV) during passive spectral analysis and active tests (valsalva ratio [VT], response to standing [RT], and deep breathing [E:I]). To describe possible associations between severity of microvascular complications and measures of autonomic modulation, multivariate analysis was performed. Results: After adjusting for diabetes duration, sex, age, pulse pressure, heart rate, and smoking, autonomic dysfunction remained significantly correlated with severity of retinopathy, nephropathy, and peripheral neuropathy in individuals with type 1 diabetes patients. Conclusions: Autonomic dysfunction is present in early stages of retinopathy, nephropathy, and peripheral neuropathy in patients with type 1 diabetes.

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Section: Discussionmentioning

confidence: 99%

The Degree of Autonomic Modulation Is Associated With the Severity of Microvascular Complications in Patients With Type 1 Diabetes

Fleischer

Cichosz

Jakobsen

et al. 2015

J Diabetes Sci Technol

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“…1, the intervals of breathing become larger and the quantity of one breath increases as a person becomes stabilized physically and mentally when the human body enters deep sleep. In reality, it can be activated in a much lower range than this one (Aysin and Aysin, 2006;Choi et al, 1999;Cammann and Michel, 2002). Therefore, in this study, it was evaluated by expanding the HF range into 0.1 ~ 0.4 Hz.…”

Section: Edr Evaluationmentioning

confidence: 99%

“…So, in this study, the level of activation is evaluated through the PSD of 0.1 ~ 0.4 Hz section. If we compare the HF range section among the HF range of the HRV and the frequency range of the EDR extracted from the ECG, we can evaluate how a well measured ECG reflects breathing signals (Aysin and Aysin, 2006;Choi et al, 1999;Cammann and Michel, 2002). …”

Section: Autonomic Nervous System and Heart Rate Variabilitymentioning

confidence: 99%

Automated Selection of Optimal ECG Lead Using Heart Instantaneous Frequency During Sleep

Noh¹,

Yoon²,

Yoon³

2012

Advances in Electrocardiograms - Methods and Analysis

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“…The LF range from 0.04 Hz to 0.15 Hz is typically considered the marker of sympathetic activity, whereas the HF range from 0.15 Hz to 0.4 Hz is referred to as the marker of parasympathetic activity. [12][13][14] Recent studies have suggested that the HF component of HRV is affected by respiration. 12,15 At lower respiration rates, the HF component that reflects parasympathetic activity shifts toward the lower frequency range and overlaps with the range of the LF component that is defined for sympathetic activity.…”

mentioning

confidence: 99%

“…[12][13][14] Recent studies have suggested that the HF component of HRV is affected by respiration. 12,15 At lower respiration rates, the HF component that reflects parasympathetic activity shifts toward the lower frequency range and overlaps with the range of the LF component that is defined for sympathetic activity. Consequently, traditional methods for HRV analysis (tHRV) that are based on fixed LF and HF ranges frequently result in over-estimations at low respiratory rates.…”

mentioning

confidence: 99%

Effects of Long-Term Dharma-Chan Meditation on Cardiorespiratory Synchronization and Heart Rate Variability Behavior

Chang

Lo²

2013

Rejuvenation Research

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Remarkable changes in cardiorespiratory interactions are frequently experienced by Chan meditation practitioners following years of practice. This study compares the results of our study on cardiorespiratory interactions for novice (control group) and experienced (experimental group) Chan meditation practitioners. The effectual coaction between the cardiac and respiratory systems was evaluated by the degree of cardiorespiratory phase synchronization (CRPS). In addition, an adaptive-frequency-range (AFR) scheme to reliably quantify heart rate variability (HRV) was developed for assessing the regulation of sympathetic-parasympathetic activity and the efficiency of pulmonary gas exchange. The enhanced HRV method, named HRV AFR , can resolve the issue of overestimating HRV under the condition of slow respiration rates, which is frequently encountered in studies on Chan meditation practitioners. In the comparison of the three data sets collected from the two groups, our findings resulted in innovative hypotheses to interpret the extraordinary process of the rejuvenation of cardiorespiratory functions through long-term Dharma-Chan meditation practice. Particularly, advanced practitioners exhibit a continuously high degree of cardiorespiratory phase synchronization, even during rapid breathing. Based on our post-experimental interview with advanced practitioners, the activation of inner Chakra energy, during the course of Chan-detachment practice, frequently induces perceptible physiological-mental reformation, including an efficient mechanism for regulating cardiorespiratory interactions.

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Effect of Respiration in Heart Rate Variability (HRV) Analysis

Cited by 9 publications

References 6 publications

The Degree of Autonomic Modulation Is Associated With the Severity of Microvascular Complications in Patients With Type 1 Diabetes

The Degree of Autonomic Modulation Is Associated With the Severity of Microvascular Complications in Patients With Type 1 Diabetes

Automated Selection of Optimal ECG Lead Using Heart Instantaneous Frequency During Sleep

Effects of Long-Term Dharma-Chan Meditation on Cardiorespiratory Synchronization and Heart Rate Variability Behavior

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