Literature DB >> 22057245

Impact of central hypovolemia on photoplethysmographic waveform parameters in healthy volunteers part 2: frequency domain analysis.

Aymen A Alian1, Nicholas J Galante, Nina S Stachenfeld, David G Silverman, Kirk H Shelley.   

Abstract

OBJECTIVE: The photoplethysmographic (PPG) waveforms are modulated by the respiratory, cardiac and autonomic nervous system. Lower body negative pressure (LBNP) has been used as an experimental tool to simulate loss of central blood volume in humans. The aim of our research is to understanding PPG waveform changes during progressive hypovolemia.
METHODS: With IRB approval, 11 volunteers underwent a LBNP protocol at baseline, 30, 75, and 90 mmHg (or until the subject became symptomatic). Subjects were monitored with finger and ear pulse oximeter probes, ECG, and finger arterial blood pressure monitor (FABP). Heart rate variability (HRV) was analyzed to high frequency (HRV-HF) (0.12-0.4 Hz) and low frequency (HRV-LF) (0.04-0.12 Hz). Frequency analysis of PPG waveforms were computed to low (0.04-0.11 Hz) frequency (PPG-LF), intermediate (0.12-0.18 Hz) frequency (PPG-IF), respiratory (0.19-0.3 Hz) frequency (PPG-Resp.) and cardiac (0.75-2.5 Hz) frequency (PPG-Cardiac)during different phases of LBNP protocol
RESULTS: Heart rate increased significantly while systolic, mean and pulse pressure of the FABP declined slowly together with significant reductions in HRV-HF (0.12-0.4 Hz) and HRV-LF (0.04-0.12 Hz) power at LBNP(75). There was significant reduction in finger PPG-Cardiac modulation which is consistent with the reduction in the pulse pressure of the FABP. As the LBNP progress there was shift in the amplitude density of the ear PPG-Cardiac to PPG-Resp. Oscillation as an evidence of progressive hypovolemia with reduction in pulse pressure and increase in the respiratory induced variations. At LBNP(75), there were significant increased (>140% increase from the baseline) in ear PPG-IF (0.12-0.18 Hz) in the meantime HRV-HF showed significant reduction (>89%) from the baseline. At the symptomatic phase; there was a shift in ear PPG-IF to PPG-Resp. With an increase in the ear PPG-Resp. Modulation to ≥175% from the baseline
CONCLUSION: The pulse oximeter waveform contains a complex mixture of the effect of cardiac, venous, autonomic, and respiratory systems on the central and peripheral circulation. The occurrence of autonomic modulation needs to be taken into account when studying signals that have their origins from central sites (e.g. ear and forehead).

Entities:  

Mesh:

Year:  2011        PMID: 22057245     DOI: 10.1007/s10877-011-9317-x

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  35 in total

1.  Pulse oximetry plethysmographic waveform during changes in blood volume.

Authors:  M Shamir; L A Eidelman; Y Floman; L Kaplan; R Pizov
Journal:  Br J Anaesth       Date:  1999-02       Impact factor: 9.166

Review 2.  Beat to beat variability in cardiovascular variables: noise or music?

Authors:  M L Appel; R D Berger; J P Saul; J M Smith; R J Cohen
Journal:  J Am Coll Cardiol       Date:  1989-11-01       Impact factor: 24.094

Review 3.  Changes in arterial pressure during mechanical ventilation.

Authors:  Frédéric Michard
Journal:  Anesthesiology       Date:  2005-08       Impact factor: 7.892

4.  Spectral analysis of finger photoplethysmographic waveform variability in a model of mild to moderate haemorrhage.

Authors:  Paul M Middleton; Gregory S H Chan; Emma O'Lone; Elizabeth Steel; Rebecca Carroll; Branko G Celler; Nigel H Lovell
Journal:  J Clin Monit Comput       Date:  2008-10-11       Impact factor: 2.502

5.  Tactical combat casualty care in the assault on Punta Paitilla Airfield.

Authors:  James J Mucciarone; Craig H Llewellyn; John M Wightman
Journal:  Mil Med       Date:  2006-08       Impact factor: 1.437

6.  Profound sympathoinhibition complicating hypovolemia in humans.

Authors:  J S Sanders; D W Ferguson
Journal:  Ann Intern Med       Date:  1989-09-01       Impact factor: 25.391

7.  Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control.

Authors:  S Akselrod; D Gordon; F A Ubel; D C Shannon; A C Berger; R J Cohen
Journal:  Science       Date:  1981-07-10       Impact factor: 47.728

8.  Power spectrum analysis of heart rate variability to assess the changes in sympathovagal balance during graded orthostatic tilt.

Authors:  N Montano; T G Ruscone; A Porta; F Lombardi; M Pagani; A Malliani
Journal:  Circulation       Date:  1994-10       Impact factor: 29.690

9.  Autonomic compensation to simulated hemorrhage monitored with heart period variability.

Authors:  William H Cooke; Caroline A Rickards; Kathy L Ryan; Victor A Convertino
Journal:  Crit Care Med       Date:  2008-06       Impact factor: 7.598

10.  Prehospital tourniquet use in Operation Iraqi Freedom: effect on hemorrhage control and outcomes.

Authors:  Alec C Beekley; James A Sebesta; Lorne H Blackbourne; Garth S Herbert; David S Kauvar; David G Baer; Thomas J Walters; Philip S Mullenix; John B Holcomb
Journal:  J Trauma       Date:  2008-02
View more
  7 in total

1.  Respiratory variations in the photoplethysmographic waveform amplitude depend on type of pulse oximetry device.

Authors:  Lars Øivind Høiseth; Ingrid Elise Hoff; Ove Andreas Hagen; Knut Arvid Kirkebøen; Svein Aslak Landsverk
Journal:  J Clin Monit Comput       Date:  2015-06-12       Impact factor: 2.502

2.  Can the descending aortic stroke volume be estimated by transesophageal descending aortic photoplethysmography?

Authors:  Peng Ling; Gong Quan; Yu Siyuan; Gao Bo; Wei Wei
Journal:  J Anesth       Date:  2017-03-27       Impact factor: 2.078

3.  Modulation of cardiac autonomic tone in non-hypotensive hypovolemia during blood donation.

Authors:  Kavita Yadav; Akanksha Singh; Ashok Kumar Jaryal; Poonam Coshic; Kabita Chatterjee; K K Deepak
Journal:  J Clin Monit Comput       Date:  2016-08-02       Impact factor: 2.502

4.  Cardiac stroke volume variability measured non-invasively by three methods for detection of central hypovolemia in healthy humans.

Authors:  Nathalie Linn Anikken Holme; Erling Bekkestad Rein; Maja Elstad
Journal:  Eur J Appl Physiol       Date:  2016-09-10       Impact factor: 3.078

5.  Identification of apnea during respiratory monitoring using support vector machine classifier: a pilot study.

Authors:  Paruthi Pradhapan; Muthukaruppan Swaminathan; Hari Krishna Salila Vijayalal Mohan; N Sriraam
Journal:  J Clin Monit Comput       Date:  2012-11-21       Impact factor: 2.502

6.  Critically ill patients in emergency department may be characterized by low amplitude and high variability of amplitude of pulse photoplethysmography.

Authors:  Jussi Pirneskoski; Veli-Pekka Harjola; Petri Jeskanen; Lari Linnamurto; Simo Saikko; Jouni Nurmi
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2013-06-24       Impact factor: 2.953

7.  Nonlinear Conte-Zbilut-Federici (CZF) Method of Computing LF/HF Ratio: A More Reliable Index of Changes in Heart Rate Variability.

Authors:  Vernon Bond; Bryan H Curry; Krishna Kumar; Sudhakar Pemminati; Vasavi R Gorantla; Kishan Kadur; Richard M Millis
Journal:  J Pharmacopuncture       Date:  2016-09
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.