Literature DB >> 28502104

Assessing Pain Intensity Using Photoplethysmography Signals in Chronic Myofascial Pain Syndrome.

Jing-Jhao Ye1, Kuan-Ting Lee1, Ying-Yu Chou1, Hong-Hai Sie2, Ru-Nan Huang2, Chiung-Cheng Chuang1.   

Abstract

BACKGROUND: Efficacy of pain assessment is the basis for effective therapy. Clinically, assessing pain is by subjective scale, but these methods have some shortcomings. Therefore, studies have been conducted on assessment of pain using physiological signals. Photoplethysmography (PPG) signals provide much information about the cardiovascular system. PPG-derived parameters (PPG parameters) reflect nociceptive stimulation, and obtain an approximation of the R-R interval from the PPG period. The aim of this study was to evaluate PPG signals for assessment of pain intensity in chronic myofascial pain syndrome (MPS) patients.
METHODS: This study recruited 37 patients with chronic MPS; all of them were treated with electrotherapy and thermotherapy. The difference between pre- and post-therapy PPG parameters, and the correlation between pulse rate variability (PRV) and heart rate variability (HRV) were determined. We also obtained patients' pain intensity scores by visual analog scale, visual rating scale, and Wong-Banker face pain rating scale.
RESULTS: Photoplethysmography and PRV/HRV parameters showed significant differences between pre- and post-treatment. The variation trend of PRV was similar with HRV in heart rate, R-R interval, low frequency, high frequency, and LF/HF; in addition, a high correlation between the parameters was observed either in pre- or post-therapy. PPG parameters indicated increased sympathetic tone.
CONCLUSION: The results of the study indicated that PRV substituted for HRV in assessment of pain intensity in chronic MPS reflected parasympathetic nervous tone increase, and PPG parameters might reflect stress stimulation on skin.
© 2017 World Institute of Pain.

Entities:  

Keywords:  chronic myofascial pain syndrome; heart rate variability; photoplethysmography; pulse rate variability

Mesh:

Year:  2017        PMID: 28502104     DOI: 10.1111/papr.12601

Source DB:  PubMed          Journal:  Pain Pract        ISSN: 1530-7085            Impact factor:   3.183


  1 in total

1.  Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and Enhancement.

Authors:  Emad Kasaeyan Naeini; Mingzhe Jiang; Elise Syrjälä; Michael-David Calderon; Riitta Mieronkoski; Kai Zheng; Nikil Dutt; Pasi Liljeberg; Sanna Salanterä; Ariana M Nelson; Amir M Rahmani
Journal:  JMIR Res Protoc       Date:  2020-07-01
  1 in total

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