Literature DB >> 19864707

Interchangeability between heart rate and photoplethysmography variabilities during sympathetic stimulations.

K Charlot1, J Cornolo, J V Brugniaux, J P Richalet, A Pichon.   

Abstract

Photoplethysmography variability (PPGV) is currently considered to be a good surrogate to heart rate variability (HRV) measurements using the time between two pulse waves instead of RR intervals. Nevertheless, the interchangeability between HRV and PPGV has never been evaluated in situations with severe alterations in the autonomic nervous system (ANS). We aimed to identify the conditions for a correct utilization of PPGV in evaluating the consequences of sympathetic stimulations. Nine subjects performed three tests: active orthostatic test, slow walk and moderate and exhaustive cycling exercises in the supine position. Pulse waves at the fingertip and RR intervals were recorded at the same time. We used correlations and the Bland and Altman method to compare and evaluate interchangeability between several HRV indices. Bland and Altman analysis highlighted small discrepancies between PPGV and HRV for all HRV indices in the supine position and for LF(ms)(2), HF(ms)(2), LF(peak) and RMSSD in the upright position. During the slow walk, it was impossible to detect properly PPG peaks. We observed large differences between the two methods during the cycling exercise. In conclusion, PPGV can be used instead of HRV without reserve in the supine position but only for some HRV indices in the upright position and not during slow walk and cycling exercise.

Entities:  

Mesh:

Year:  2009        PMID: 19864707     DOI: 10.1088/0967-3334/30/12/005

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


  14 in total

1.  Effect of changes in sympathovagal balance on the accuracy of heart rate variability obtained from photoplethysmography.

Authors:  Xiang Chen; Yuan-Yuan Huang; Feng Yun; Tian-Jun Chen; Jin Li
Journal:  Exp Ther Med       Date:  2015-10-02       Impact factor: 2.447

2.  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

3.  Heart rate variability (HRV) in deep breathing tests and 5-min short-term recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects.

Authors:  Stefan W Weinschenk; Reinhard D Beise; Jürgen Lorenz
Journal:  Eur J Appl Physiol       Date:  2016-06-08       Impact factor: 3.078

4.  Photoplethysmography variability as an alternative approach to obtain heart rate variability information in chronic pain patient.

Authors:  Chiung-Cheng Chuang; Jing-Jhao Ye; Wan-Chun Lin; Kuan-Ting Lee; Yu-Ting Tai
Journal:  J Clin Monit Comput       Date:  2015-02-24       Impact factor: 2.502

5.  Dynamic Phase Extraction: Applications in Pulse Rate Variability.

Authors:  Christopher H Li; Franklin S Ly; Kegan Woodhouse; John Chen; Zhuowei Cheng; Tyler Santander; Nirmit Ashar; Elyes Turki; Henry T Yang; Michael Miller; Linda Petzold; Paul K Hansma
Journal:  Appl Psychophysiol Biofeedback       Date:  2022-06-15

6.  Analysis of heart rate variability during auditory stimulation periods in patients with schizophrenia.

Authors:  Saime Akdemir Akar; Sadık Kara; Fatma Latifoğlu; Vedat Bilgiç
Journal:  J Clin Monit Comput       Date:  2014-05-16       Impact factor: 2.502

7.  Extraction of heart rate variability from smartphone photoplethysmograms.

Authors:  Rong-Chao Peng; Xiao-Lin Zhou; Wan-Hua Lin; Yuan-Ting Zhang
Journal:  Comput Math Methods Med       Date:  2015-01-12       Impact factor: 2.238

8.  Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge.

Authors:  Cody E Dunn; Derek C Monroe; Christian Crouzet; James W Hicks; Bernard Choi
Journal:  Sci Rep       Date:  2019-10-01       Impact factor: 4.379

9.  Wrist-Based Photoplethysmography Assessment of Heart Rate and Heart Rate Variability: Validation of WHOOP.

Authors:  Clint R Bellenger; Dean J Miller; Shona L Halson; Gregory D Roach; Charli Sargent
Journal:  Sensors (Basel)       Date:  2021-05-20       Impact factor: 3.847

10.  Validity of Smartphone Heart Rate Variability Pre- and Post-Resistance Exercise.

Authors:  Clifton J Holmes; Michael V Fedewa; Lee J Winchester; Hayley V MacDonald; Stefanie A Wind; Michael R Esco
Journal:  Sensors (Basel)       Date:  2020-10-09       Impact factor: 3.576

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