Importance of Tachogram Length and Period of Recording during Noninvasive Investigation of the Autonomic Nervous System

Grant, C.C.; Rensburg, Dina Christina Janse van; Strydom, Hanlie; Viljoen, Margaretha

doi:10.1111/j.1542-474x.2011.00422.x

Cited by 36 publications

(31 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the supine position, HR is primarily regulated by parasympathetic influences, while rising and standing trigger the sympathetic branch of the ANS as seen by the increases in HR. A previous study by our group indicated that exercise-induced changes in sympathetic and parasympathetic ANS control differ, depending on posture, that is supine, rising and standing 29. For this reason, the determination of the influence of baseline physiological indicators on exercise-induced changes in HRV measured during rising and standing periods may provide new insights.…”

Section: Resultsmentioning

confidence: 96%

The contribution of preintervention blood pressure, VO₂max, BMI, autonomic function and gender to exercise-induced changes in heart rate variability

Grant

Rensburg

2013

Br J Sports Med

View full text Add to dashboard Cite

male and 83 female recruits of the South African National Defence Force (SANDF) between the ages of 18 and 22. The study protocol was approved by the SANDF Ethics Committee as well as the Research Ethics Committee of the Faculty of Health Sciences, University of Pretoria. All participants gave written informed consent before the start of the intervention. Exclusion criteria included refusal to give voluntary written informed consent; a history of cardiovascular, hepatic, respiratory or renal impairment, as well as pulmonary, metabolic and orthopaedic diseases requiring medical attention; lung/respiratory tract infection in the previous 2 weeks; and medication that could influence cardiovascular control and psychological disorders. None of the participants were professional athletes or high-level sport participants, and all the participants were subjected to the same, strictly standardised, 24 h routine (exercise, diet and sleep) for the duration of the 12-week exercise intervention. The calculated average basal metabolic rate for participants, taking weight and age into account, was 6371 kJ/day. This, in addition to the energy expenditure of the training and exercise activities, resulted in a calculated average energy expenditure of 8485 kJ/day, which can be classified as a medium-to-high intensity exercise programme.

show abstract

Section: Resultsmentioning

confidence: 96%

The contribution of preintervention blood pressure, VO₂max, BMI, autonomic function and gender to exercise-induced changes in heart rate variability

Grant

Rensburg

2013

Br J Sports Med

View full text Add to dashboard Cite

show abstract

“…32,33 Statistical analysis was performed using MATLAB ® (Version 2015b, MathWorks). All methods were applied on the single-subject level, and presented on the group-level.…”

Section: Resultsmentioning

confidence: 99%

Short-term pulse rate variability is better characterized by functional near-infrared spectroscopy than by photoplethysmography

2016

View full text Add to dashboard Cite

Pulse rate variability (PRV) can be extracted from functional near-infrared spectroscopy (fNIRS) (PRV(NIRS)) and photoplethysmography (PPG) (PRV(PPG)) signals. The present study compared the accuracy of simultaneously acquired PRV(NIRS) and PRV(PPG), and evaluated their different characterizations of the sympathetic (SNS) and parasympathetic (PSNS) autonomous nervous system activity. Ten healthy subjects were recorded during resting-state (RS) and respiratory challenges in two temperature conditions, i.e., room temperature (23°C) and cold temperature (4°C). PRV(NIRS) was recorded based on fNIRS measurement on the head, whereas PRV(PPG) was determined based on PPG measured at the finger. Accuracy between PRV(NIRS) and PRV(PPG), as assessed by cross-covariance and cross-sample entropy, demonstrated a high degree of correlation (r > 0.9), which was significantly reduced by respiration and cold temperature. Characterization of SNS and PSNS using frequency-domain, time-domain, and nonlinear methods showed that PRV(NIRS) provided significantly better information on increasing PSNS activity in response to respiration and cold temperature than PRV(PPG). The findings show that PRV(NIRS) may outperform PRV(PPG) under conditions in which respiration and temperature changes are present, and may, therefore, be advantageous in research and clinical settings, especially if characterization of the autonomous nervous system is desired. Abstract. Pulse rate variability (PRV) can be extracted from functional near-infrared spectroscopy (fNIRS) (PRV NIRS ) and photoplethysmography (PPG) (PRV PPG ) signals. The present study compared the accuracy of simultaneously acquired PRV NIRS and PRV PPG , and evaluated their different characterizations of the sympathetic (SNS) and parasympathetic (PSNS) autonomous nervous system activity. Ten healthy subjects were recorded during resting-state (RS) and respiratory challenges in two temperature conditions, i.e., room temperature (23°C) and cold temperature (4°C). PRV NIRS was recorded based on fNIRS measurement on the head, whereas PRV PPG was determined based on PPG measured at the finger. Accuracy between PRV NIRS and PRV PPG , as assessed by cross-covariance and cross-sample entropy, demonstrated a high degree of correlation (r > 0.9), which was significantly reduced by respiration and cold temperature. Characterization of SNS and PSNS using frequency-domain, time-domain, and nonlinear methods showed that PRV NIRS provided significantly better information on increasing PSNS activity in response to respiration and cold temperature than PRV PPG . The findings show that PRV NIRS may outperform PRV PPG under conditions in which respiration and temperature changes are present, and may, therefore, be advantageous in research and clinical settings, especially if characterization of the autonomous nervous system is desired.

show abstract

“…We have in a previous publication showed that HRV indicators already stabilized for the standing position during this period (180 to 360s after rising). 46 No significant exercise-induced changes in pure vagal HR control (RMSSD, pNN50, SD1 and HFms 2 were found). However, in the face of no exerciseinduced change in vagal indicators, the increase in the SD2 indicator of non-linear rhythms and LFnu, showed a pre-post exercise induced increase in the sympathetic response.…”

mentioning

confidence: 88%

“…The orthostatic response is generally seen as the difference between values obtained during the supine period and that obtained in response to the orthostatic stressor . 18,26,43 Complicating factors include uncertainties about the exact tachogram starting point during or after standing-up, the length of recording, which is critical due to the activation and normalisation of homeostatic mechanisms, 46 and the importance of stationarity during HRV measurements. 20 The interpretation of when to record the values in response to the stressor differ.…”

mentioning

confidence: 99%

“…While the initial non-stationary period upon rising from the supine to the standing position is discarded by some authors, 47,48 others include this period. 43,46 Even the length of this initial period, whether included or discarded, vary from 30 seconds, 48 to two minutes, 47 to 5 minutes, 46 to 6 minutes. 23 In the present study, the vagal orthostatic response by the ANS was quantified by determining the % difference between supine vagal indicator values and that of rising/standing values at 0-180s, 180-360s and 360-540s, respectively.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Heart Rate Variability Assessment of the Effect of Physical Training on Autonomic Cardiac Control

Grant¹,

Viljoen²,

Rensburg³

et al. 2012

Noninvasive Electrocardiol

Self Cite

View full text Add to dashboard Cite

show abstract

Importance of Tachogram Length and Period of Recording during Noninvasive Investigation of the Autonomic Nervous System

Cited by 36 publications

References 17 publications

The contribution of preintervention blood pressure, VO₂max, BMI, autonomic function and gender to exercise-induced changes in heart rate variability

The contribution of preintervention blood pressure, VO₂max, BMI, autonomic function and gender to exercise-induced changes in heart rate variability

Short-term pulse rate variability is better characterized by functional near-infrared spectroscopy than by photoplethysmography

Heart Rate Variability Assessment of the Effect of Physical Training on Autonomic Cardiac Control

Contact Info

Product

Resources

About

Importance of Tachogram Length and Period of Recording during Noninvasive Investigation of the Autonomic Nervous System

Cited by 36 publications

References 17 publications

The contribution of preintervention blood pressure, VO2max, BMI, autonomic function and gender to exercise-induced changes in heart rate variability

The contribution of preintervention blood pressure, VO2max, BMI, autonomic function and gender to exercise-induced changes in heart rate variability

Short-term pulse rate variability is better characterized by functional near-infrared spectroscopy than by photoplethysmography

Heart Rate Variability Assessment of the Effect of Physical Training on Autonomic Cardiac Control

Contact Info

Product

Resources

About

The contribution of preintervention blood pressure, VO₂max, BMI, autonomic function and gender to exercise-induced changes in heart rate variability

The contribution of preintervention blood pressure, VO₂max, BMI, autonomic function and gender to exercise-induced changes in heart rate variability