Literature DB >> 9522390

The variability of the photoplethysmographic signal--a potential method for the evaluation of the autonomic nervous system.

M Nitzan1, A Babchenko, B Khanokh, D Landau.   

Abstract

The heart rate variability is composed of low- and high-frequency fluctuations, which are mediated by the sympathetic and the parasympathetic nervous systems. The baseline and the amplitude of the photoplethysmographic (PPG) signal also show fluctuations in the same frequencies. In the current study, PPG examinations were performed on the fingers of normal subjects and diabetic patients, and three parameters were derived from each PPG pulse: the baseline of the pulse, its amplitude and its period (which is equal to the heart period). The level of the variability of each PPG pulse parameter was measured by the ratio of the standard deviation of the parameter to its mean value. The level of the low-frequency fluctuations for the PPG amplitude and for the heart cycle period did not differ between males and females, but was lower for diabetic patients, indicating lower activity of the autonomic nervous system. The curves of the baseline and the amplitude of the PPG signal for the non-diabetic subjects showed high correlation between the left and the right hands. For most of the diabetic patients the right-left correlation coefficients were significantly lower than those for the non-diabetic subjects. Our initial results have shown that the variability of the PPG parameters shows promise for the assessment of the function of the autonomic nervous system.

Entities:  

Mesh:

Year:  1998        PMID: 9522390     DOI: 10.1088/0967-3334/19/1/008

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  28 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.  Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm.

Authors:  Dirk Sommermeyer; Ding Zou; Joachim H Ficker; Winfried Randerath; Christoph Fischer; Thomas Penzel; Bernd Sanner; Jan Hedner; Ludger Grote
Journal:  Med Biol Eng Comput       Date:  2015-11-04       Impact factor: 2.602

5.  Monitoring of cardiovascular reactivity to cold stress using digital volume pulse characteristics in health and diabetes.

Authors:  Ashok K Jaryal; Nandakumar Selvaraj; Jayashree Santhosh; Sneh Anand; Kishore K Deepak
Journal:  J Clin Monit Comput       Date:  2009-03-24       Impact factor: 2.502

6.  Reconstruction of gastric slow wave from finger photoplethysmographic signal using radial basis function neural network.

Authors:  S Mohamed Yacin; V Srinivasa Chakravarthy; M Manivannan
Journal:  Med Biol Eng Comput       Date:  2011-07-12       Impact factor: 2.602

7.  Ambiguity of mapping the relative phase of blood pulsations.

Authors:  Victor Teplov; Ervin Nippolainen; Alexander A Makarenko; Rashid Giniatullin; Alexei A Kamshilin
Journal:  Biomed Opt Express       Date:  2014-08-22       Impact factor: 3.732

8.  Using the multi-parameter variability of photoplethysmographic signals to evaluate short-term cardiovascular regulation.

Authors:  Xiang Chen; Ning Liu; Yuanyuan Huang; Feng Yun; Jue Wang; Jin Li
Journal:  J Clin Monit Comput       Date:  2014-11-19       Impact factor: 2.502

Review 9.  Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging.

Authors:  Yu Sun; Nitish Thakor
Journal:  IEEE Trans Biomed Eng       Date:  2015-09-15       Impact factor: 4.538

10.  Steady flow visualization in a rigid model of the aortic bifurcation: application to atherosclerosis.

Authors:  Q M Ramadan; O Hamid; K O Lim
Journal:  J Biol Phys       Date:  2001-03       Impact factor: 1.365

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.