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

Chiung Cheng Chuang, Jing Jhao Ye, Wan Chun Lin, Kuan Ting Lee, Yu Ting Tai

Research output: Contribution to journalArticle

20 Citations (Scopus)

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  0.86) between all the HRV and PRV parameters and good agreements (ratio 

Original languageEnglish
Pages (from-to)801-806
Number of pages6
JournalJournal of Clinical Monitoring and Computing
Volume29
Issue number6
DOIs
Publication statusPublished - Feb 24 2015

Keywords

  • Autonomic nervous system
  • Chronic pain
  • Heart rate variability
  • Photoplethysmography

ASJC Scopus subject areas

  • Anesthesiology and Pain Medicine
  • Critical Care and Intensive Care Medicine
  • Health Informatics

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