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

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, mos...

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Bibliographic Details
Published in:Journal of clinical monitoring and computing 2015-12, Vol.29 (6), p.801-806
Main Authors: Chuang, Chiung-Cheng, Ye, Jing-Jhao, Lin, Wan-Chun, Lee, Kuan-Ting, Tai, Yu-Ting
Format: Article
Language:English
Subjects:
Adult
Analysis of Variance
Anesthesiology
Assessments
Chronic Pain - physiopathology
Critical Care Medicine
Electrocardiography - statistics & numerical data
Female
Health Sciences
Heart rate
Heart Rate - physiology
Humans
Intensive
Intervals
Male
Mathematical analysis
Mathematical models
Medicine
Medicine & Public Health
Middle Aged
Original Research
Pain
Patients
Photoplethysmography - methods
Photoplethysmography - statistics & numerical data
Polypropylenes
Statistics for Life Sciences
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Summary: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 
ISSN:1387-1307
1573-2614
DOI:10.1007/s10877-015-9669-8