Heart rate variability, BIS and ‘depth of anaesthesia’

Pomfrett, C.J.D.

doi:10.1093/bja/82.5.659

Cited by 59 publications

(33 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Like EEG, ECG signals are also nonlinear and non-stationary [63][64][65][66][67][68][69][70]. Ivanov et al [71] reported healthy human interbeat intervals to exhibit multifractal properties.…”

Section: Translational Biomedicine Issn 2172-0479mentioning

confidence: 99%

Epileptic Seizure: A New Approach for Quantification of Autonomic Deregulation with Chaos Based Technique

Ghosh¹,

Dutta²,

Chakraborty³

et al. 2017

Transl Biomed

View full text Add to dashboard Cite

Background: Epileptic seizures can lead to changes in autonomic function affecting the sympathetic, parasympathetic and enteric nervous systems. Changes in cardiac signals are potential biomarkers that may provide an extracerebral indicator of ictal onset in some patients. Patients suffering from epilepsy experience some significant cardiac changes during seizure, causing some serious cardiac malfunctions which may lead to sudden unexpected death (SUDEP). The fluctuations observed in the heart rate during the process are non-linear and extremely complex. Chaos based non-linear methodology has become a very powerful tool in recent years in analysing such complex systems. Although a few papers on effect of seizure have been reported where study was done to assess the dynamics of cardiac systems for post-ictal patients not using non-linear technique, this paper reports the analysis of ECG signals of post-ictal patients using a modern and rigorous non-linear technique.

show abstract

Section: Translational Biomedicine Issn 2172-0479mentioning

confidence: 99%

Epileptic Seizure: A New Approach for Quantification of Autonomic Deregulation with Chaos Based Technique

Ghosh¹,

Dutta²,

Chakraborty³

et al. 2017

Transl Biomed

View full text Add to dashboard Cite

show abstract

“…However, a number of different algorithms are in use and these are not standardized. Accordingly, results obtained with different techniques are thus difficult to compare with one another [52].…”

Section: Heart Rate Variabilitymentioning

confidence: 99%

“…Narcotic agents reduce the overall variability of HRV [79][80][81][82]. This has led to speculation that HRV could be used to monitor the depth of anaesthesia, and particularly to avoid superficial levels of anaesthesia [83].…”

Section: Heart Rate Variabilitymentioning

confidence: 99%

Transcranial cerebral oximetry, transcranial Doppler sonography, and heart rate variability: useful neuromonitoring tools in anaesthesia and intensive care?

Schwarz

Litscher

2002

EJA

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

“…It is well known that the status of the ANS is modified by anaesthetic or sedative drugs, and that noxious stimulus causes sympathetic activation. Hence, HRV has been proposed as a possible measure of anaesthetic depth [1,2] or level of sedation [3,4].Traditionally, HRV has been quantified by linear timedomain measures such as standard deviation (SD) and root mean square of the successive R-R-intervals (RMSSD), or by spectral analysis of the HRV power in low frequency (LF, around 0.04-0.15Hz) and high frequency (HF, around 0.15.0.4Hz) bands [5]. However, ANS is not a linear system and it has been argued that non-linear analysis would be more optimal for HRV.…”

mentioning

confidence: 99%

Comparison of linear and non-linear analysis of heart rate variability in sedated cardiac surgery patients

Korhonen

Mainardi

Yppärilä

et al.

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

Abstract-Heart rate variability (HRV) provides a noninvasive method to monitor functioning of the autonomous nervous system. HRV has been proposed as a potential tool for objective assessment of the level of sedation in critical care. In this paper we studied whether different linear and non-linear analysis methods may discriminate different levels of sedation in cardiac surgery patients. In addition we studied the interrelationships between the different parameters. The results show that HRV is modified by changes in the level of sedation, and that it is not completely recovered by the next day after the cardiac surgery. Both linear time and frequency domain parameters, and non-linear parameters discriminate the different levels, but especially the method based on Poincare plot analysis seems promising. As different parameters are closely correlated, a sub-set of parameters may be sufficient in the quantification of HRV in sedation.Keywords: Heart rate variability, level of sedation, intensive care, Poincare plot, entropy. I. INTRODUCTIONHeart rate variability (HRV) provides a non-invasive marker of the functioning of the autonomous nervous system (ANS). It is well known that the status of the ANS is modified by anaesthetic or sedative drugs, and that noxious stimulus causes sympathetic activation. Hence, HRV has been proposed as a possible measure of anaesthetic depth [1,2] or level of sedation [3,4].Traditionally, HRV has been quantified by linear timedomain measures such as standard deviation (SD) and root mean square of the successive R-R-intervals (RMSSD), or by spectral analysis of the HRV power in low frequency (LF, around 0.04-0.15Hz) and high frequency (HF, around 0.15.0.4Hz) bands [5]. However, ANS is not a linear system and it has been argued that non-linear analysis would be more optimal for HRV. Furthermore, there is no agreement, which parameters would be the most optimal for the analysis of HRV during anaesthesia or sedation. The objectives of this study were to: 1) study whether different linear and non-linear HRV measures may discriminate different levels of sedation in cardiac surgery patients; and 2) compare different linear and non-linear HRV measures in their performance and interrelationships with the sama data. II. METHODS A. Patients and protocolThe study was approved by the local Ethics committee of Kuopio University Hospital. All patients gave written informed consent. 26 patients scheduled for elective coronary artery bypass grafting surgery were included in the study. Anaesthesia regime (propofol-alfentanil) and postoperative sedation (propofol) were standardised.Data were recorded from patients in five different situations: 1) baseline; 2) pre-medication; 3) after cardiac surgery at intensive care unit at deep sedation (Ramsay score 6 [6]); 4) in intensive care in moderate sedation (Ramsay score 4); 5) post-operatively (the next day). B. Data acquisition and signal processingStandard patient monitor (CS/3 monitor, Datex-Ohmeda, Instrumentarium Corporation, Helsinki, Finland)) was us...

show abstract

Heart rate variability, BIS and ‘depth of anaesthesia’

Cited by 59 publications

References 0 publications

Epileptic Seizure: A New Approach for Quantification of Autonomic Deregulation with Chaos Based Technique

Epileptic Seizure: A New Approach for Quantification of Autonomic Deregulation with Chaos Based Technique

Transcranial cerebral oximetry, transcranial Doppler sonography, and heart rate variability: useful neuromonitoring tools in anaesthesia and intensive care?

Comparison of linear and non-linear analysis of heart rate variability in sedated cardiac surgery patients

Contact Info

Product

Resources

About