Do the high-frequency indexes of hrv provide a faithful assessment of cardiac vagal tone? a critical theoretical evaluation

Pyetan, E.; Akselrod, Solange

doi:10.1109/tbme.2003.812158

Cited by 45 publications

(27 citation statements)

References 26 publications

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“…This program yields results similar to a Fourier decomposition, but does not assume a continuous underlying generator function. Conceptually, the analysis is consistent with the integral-pulsefrequency-modulation approach used in recent modeling of the neural basis of HRV [34]. Total power, power at the individual's mean respiratory frequency ± 0.015 Hz for the Pittsburgh sample or at 0.25-0.30 Hz and 0.15-0.50 for the KIHD sample (HF band power), and power at 0.1 ± 0.015 Hz (LF band power) were calculated.…”

Section: Statistical Analysessupporting

confidence: 74%

Reduced low-frequency heart rate variability relates to greater intimal???medial thickness of the carotid wall in two samples

Gautier

Stine²,

Jennings

et al. 2007

Coronary Artery Disease

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Section: Statistical Analysessupporting

confidence: 74%

Reduced low-frequency heart rate variability relates to greater intimal???medial thickness of the carotid wall in two samples

Gautier

Stine²,

Jennings

et al. 2007

Coronary Artery Disease

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“…Arrhythmic events didn't have significant influence on spectral characteristic. Some events might be contributed to the mechanical stretching of the SA node [11]. Most arrhythmic events were atrial extra-systoles generated during inhalation or exhalation, probably by overstimulation of the vagus.…”

Section: Results and Conculsionsmentioning

confidence: 99%

On Spectral Analysis of Heart Rate Variability during Very Slow Yogic Breathing

Jovanov

2005

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

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Abstract-Very slow yogic breathing techniques provide valuable insights into mechanisms of autonomous nervous system regulation that are usually not available for human subjects. This paper presents results of eight sessions of Nadi Shodhana Pranayama practiced at rate of one breath per minute. We characterized statistic and spectral measures of heart rate variability before, during, and after exercises. Significant changes include increase of VLF frequencies caused by slow breathing and decrease in average interbeat interval from 959.3 to 904.1 ms (t(7) = -7.5, p<0.001). We present the results of HRV analysis and analyze origins of characteristic frequency components. The most prominent changes of the exercise include significant increase of respiratory sinus arrhythmia (RSA) and LF/HF ratio, and decrease of breathing frequency after the exercise against the state before the exercise. The maximum LF frequency decreased from 0.0919 Hz to 0.07125 Hz (t(7) = -3.255, p < 0.01), indicating the decrease of average breathing rhythm from 5.5 breaths/min to 4.3 breaths/min. In addition, the state after the exercise is characterized by disappearance of VLF frequencies from the spectrum, and a significant increase of LF/HF from 14.33 to 50.93 (t(7) = 2.461, p < .05).

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“…RSA has been found to produce a large aspect of parasympathetic mediated variation in heart rate (Bemtson et al, 1997). Although there has been some debate about RSA being an index of vagus nerve activity (Pyetan & Akselrod, 2003), many researchers have argued that RSA is an index of HRV that is mediated by the parasympathetic nervous sytem.…”

Section: Heart Rate Variabilitymentioning

confidence: 99%

The STRIVE-ONR Project: Stress Resistance in Virtual Environments

Buckwalter¹

2015

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any o:her aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any o:her provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE ^DD-MM-WYVj 07/29/2015 REPORTTYPE FINAL TECHNICAL REPORT TITLE AND SUBTITLEThe STRIVE-ONR Project: Stress Resistance in Virtual Environments AUTHOR(S)Buckwalter, J. Galen PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)University of Southern California 3720 S. Flower Street Los Angeles, CA 90007-0701 SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)Office SPONSOR/MONITOR'S ACRONYM(S) ONR SPONSOR/MONITOR'S REPORT NUMBER(S) SUPPLEMENTARY NOTES ABSTRACT ~STRIVE is a story-driven approach to using virtual reality (VR) for understanding and training psychological resilience in service members prior to a combat deployment. This effort is based on two scientific principles: 1) pre-exposure to traumatic events within a safe environment provides some degree of protection for those later exposed to subsequent trauma and 2) resilience, or the rate and effectiveness with which someone returns to normal after stress, can be strengthened through systematic training. This project created the fifth episode (of six) of STRIVE and also resulted in four papers. Interaction by SMs within such emotionally challenging scenarios aims to provide a more meaningful context in which to learn and practice psychoeducational and cognitive coping strategies that research suggests plays a supportive role in the psychological preparation for a combat deployment. To accomplish this, STRIVE has been designed as a multi-episode interactive narrative in VR, akin to being immersed within a "Band of Brothers" type storyline that spans a typical deployment cycle. We currently have an initial story arc of six episodes created that will be used in the research that is now being proposed. At the end of each of the graded 10-minute episodes, an emotionally challenging event occurs, designed in part from feedback provided by SMs undergoing PTSD VRET (e.g., seeing/handling human remains, direct threat to safety via an IED attack in a vehicle, moral challenges due to culturally relativistic events (wife beating), the death of a civilian child, death of a squad member, grief processing in theatre). At that point in the episode, the virtual worl...

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Do the high-frequency indexes of hrv provide a faithful assessment of cardiac vagal tone? a critical theoretical evaluation

Cited by 45 publications

References 26 publications

Reduced low-frequency heart rate variability relates to greater intimal???medial thickness of the carotid wall in two samples

Reduced low-frequency heart rate variability relates to greater intimal???medial thickness of the carotid wall in two samples

On Spectral Analysis of Heart Rate Variability during Very Slow Yogic Breathing

The STRIVE-ONR Project: Stress Resistance in Virtual Environments

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