Literature DB >> 8736036

Power spectrum analysis of spontaneous fluctuations in the photoplethysmographic signal.

M Nitzan1, H de Boer, S Turivnenko, A Babchenko, D Sapoznikov.   

Abstract

Direct measurement of variability in the peripheral circulation was performed by means of photoplethysmography, which provides assessment of blood volume in tissue and systolic blood volume increase. Both parameters showed oscillations at a relatively low frequency, about 0.02 Hz, and a relatively high frequency, about 0.3 Hz, which is related to respiration. These frequencies are similar to those found in measurements of heart rate variability--which is also obtained by measuring the photoplethysmographic period variability--but the powers of the different frequencies are different. The low frequency oscillation, which is attributed to the activity of the sympathetic nervous system, is more pronounced in the measurements of tissue blood volume and of systolic blood volume increase than in the measurement of heart rate.

Mesh:

Year:  1994        PMID: 8736036     DOI: 10.1515/jbcpp.1994.5.3-4.269

Source DB:  PubMed          Journal:  J Basic Clin Physiol Pharmacol        ISSN: 0792-6855


  8 in total

1.  Very low frequency variability in arterial blood pressure and blood volume pulse.

Authors:  M Nitzan; A Babchenko; B Khanokh
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

2.  Influence of thoracic sympathectomy on cardiac induced oscillations in tissue blood volume.

Authors:  M Nitzan; A Babchenko; D Shemesh; J Alberton
Journal:  Med Biol Eng Comput       Date:  2001-09       Impact factor: 2.602

3.  Sympathetically induced spontaneous fluctuations of the photoplethysmographic signal.

Authors:  B Khanokh; Y Slovik; D Landau; M Nitzan
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

4.  Non-invasive continuous estimation of blood flow changes in human patellar bone.

Authors:  Jan Näslund; Jonas Pettersson; Thomas Lundeberg; Dag Linnarsson; Lars-Göran Lindberg
Journal:  Med Biol Eng Comput       Date:  2006-06-03       Impact factor: 2.602

Review 5.  Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.

Authors:  Diego R Mazzotti; Diane C Lim; Kate Sutherland; Lia Bittencourt; Jesse W Mindel; Ulysses Magalang; Allan I Pack; Philip de Chazal; Thomas Penzel
Journal:  Physiol Meas       Date:  2018-09-13       Impact factor: 2.833

6.  Right-left correlation of the sympathetically induced fluctuations of photoplethysmographic signal in diabetic and non-diabetic subjects.

Authors:  A Buchs; Y Slovik; M Rapoport; C Rosenfeld; B Khanokh; M Nitzan
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

7.  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

8.  Photoplethysmography for Quantitative Assessment of Sympathetic Nerve Activity (SNA) During Cold Stress.

Authors:  Karthik Budidha; Panayiotis A Kyriacou
Journal:  Front Physiol       Date:  2019-01-09       Impact factor: 4.566

  8 in total

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