Literature DB >> 25708672

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

Chiung-Cheng Chuang1, Jing-Jhao Ye2, Wan-Chun Lin2, Kuan-Ting Lee2, Yu-Ting Tai3.   

Abstract

Heart rate variability (HRV) is a well-known method for the assessment of autonomic nervous function of the heart. Previous study suggested that pulse rate variability (PRV) determined by photoplethysmography could be used instead of HRV to more simply assess autonomic nervous function. However, most research studies included healthy subjects. Thus, the aim of this study was to investigate the feasibility for PRV as a surrogate index for patients with chronic pain. This study investigated the correlation coefficient (by Pearson correlation) and agreement (by Bland-Altman analysis) between PRV and HRV in chronic pain patients in the clinical setting. The results showed high significant correlations (p < 0.001, r > 0.86) between all the HRV and PRV parameters and good agreements (ratio < 0.1) between the parameters in terms of HR, mean RR, VLF, LF, nLF, nHF, and SD1/SD2. Our study suggests that HRV can also be reliably estimated using the photoplethysmography-based PP interval in elderly patients with chronic pain.

Entities:  

Keywords:  Autonomic nervous system; Chronic pain; Heart rate variability; Photoplethysmography

Mesh:

Year:  2015        PMID: 25708672     DOI: 10.1007/s10877-015-9669-8

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


  23 in total

1.  A comparative study of pulse rate variability and heart rate variability in healthy subjects.

Authors:  Jih-Sen Wong; Wan-An Lu; Kung-Tai Wu; Margaret Liu; Gau-Yang Chen; Cheng-Deng Kuo
Journal:  J Clin Monit Comput       Date:  2012-02-19       Impact factor: 2.502

2.  Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea.

Authors:  Ahsan H Khandoker; Chandan K Karmakar; Marimuthu Palaniswami
Journal:  Med Eng Phys       Date:  2010-10-25       Impact factor: 2.242

Review 3.  Photoplethysmography and its application in clinical physiological measurement.

Authors:  John Allen
Journal:  Physiol Meas       Date:  2007-02-20       Impact factor: 2.833

Review 4.  Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior.

Authors:  Nicola Montano; Alberto Porta; Chiara Cogliati; Giorgio Costantino; Eleonora Tobaldini; Karina Rabello Casali; Ferdinando Iellamo
Journal:  Neurosci Biobehav Rev       Date:  2008-07-30       Impact factor: 8.989

5.  Pulse rate variability compared with Heart Rate Variability in children with and without sleep disordered breathing.

Authors:  Parastoo Dehkordi; Ainara Garde; Walter Karlen; David Wensley; J Mark Ansermino; Guy A Dumont
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

6.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

Authors: 
Journal:  Eur Heart J       Date:  1996-03       Impact factor: 29.983

7.  Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique.

Authors:  K Nakajima; T Tamura; H Miike
Journal:  Med Eng Phys       Date:  1996-07       Impact factor: 2.242

8.  Pain prevalence, experiences and management strategies among the elderly in taiwanese nursing homes.

Authors:  Yun-Fang Tsai; Hsiu-Hsin Tsai; Yeur-Hur Lai; Tsung-Lan Chu
Journal:  J Pain Symptom Manage       Date:  2004-12       Impact factor: 3.612

9.  Agreement of two different methods for measurement of heart rate variability.

Authors:  Martin Radespiel-Tröger; Robert Rauh; Christine Mahlke; Tim Gottschalk; Michael Mück-Weymann
Journal:  Clin Auton Res       Date:  2003-04       Impact factor: 4.435

10.  Heart rate variability as a biomarker for autonomic nervous system response differences between children with chronic pain and healthy control children.

Authors:  Subhadra Evans; Laura C Seidman; Jennie Ci Tsao; Kirsten C Lung; Lonnie K Zeltzer; Bruce D Naliboff
Journal:  J Pain Res       Date:  2013-06-12       Impact factor: 3.133

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  7 in total

Review 1.  Journal of Clinical Monitoring and Computing 2015 end of year summary: cardiovascular and hemodynamic monitoring.

Authors:  Karim Bendjelid; Steffen Rex; Thomas Scheeren; Bernd Saugel
Journal:  J Clin Monit Comput       Date:  2016-02-12       Impact factor: 2.502

2.  Accurate measurement of the pulse wave delay with imaging photoplethysmography.

Authors:  Alexei A Kamshilin; Igor S Sidorov; Laura Babayan; Maxim A Volynsky; Rashid Giniatullin; Oleg V Mamontov
Journal:  Biomed Opt Express       Date:  2016-11-16       Impact factor: 3.732

3.  Accuracy of a Wrist-Worn Heart Rate Sensing Device during Elective Pediatric Surgical Procedures.

Authors:  Gloria Pelizzo; Anna Guddo; Aurora Puglisi; Annalisa De Silvestri; Calogero Comparato; Mario Valenza; Emanuele Bordonaro; Valeria Calcaterra
Journal:  Children (Basel)       Date:  2018-03-08

4.  Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder.

Authors:  Onur Dur; Reinier van Mourik; Colleen Rhoades; Man Suen Ng; Ragwa Elsayed; Maulik D Majmudar
Journal:  JMIR Mhealth Uhealth       Date:  2018-10-16       Impact factor: 4.773

Review 5.  Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review.

Authors:  David Naranjo-Hernández; Javier Reina-Tosina; Laura M Roa
Journal:  Sensors (Basel)       Date:  2020-01-08       Impact factor: 3.576

6.  Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational Study.

Authors:  Ryan R Kroll; J Gordon Boyd; David M Maslove
Journal:  J Med Internet Res       Date:  2016-09-20       Impact factor: 5.428

7.  A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy.

Authors:  Yongxin Chou; Ruilei Zhang; Yufeng Feng; Mingli Lu; Zhenli Lu; Benlian Xu
Journal:  J Healthc Eng       Date:  2017-05-09       Impact factor: 2.682

  7 in total

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