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Investigation of the Feasibility of Postoperative Pain Assessment Using Frequency Analysis of Photoplethysmogram Variability

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World Congress on Medical Physics and Biomedical Engineering 2018

Abstract

Quantifying of pain is necessary for optimal dose of opioid. In pain quantification, there have been many attempts to analyze the photoplethysmography (PPG) waveform as a promising maker of autonomic function. In this paper, we investigate the feasibility of PPG amplitude variability (PPGV) as a novel marker of pain quantification. We derived 8 parameters related to the PPG amplitude and amplitude variability: ACAbaseline, ACAdia, PPGAVsys, PPGAVdia, PPGAVsys/ACAbaseline, PPGAVsys/ACAdia, PPGAVdia/ACAbaseline and PPGAVdia/ACAdia, and calculated frequency domain variables, TP, VLF, LF, HF, nLF, nHF and LF/HF, that have been used for heart rate variability analysis. Every parameter was derived in clinical dataset obtained before and after surgery, and a significant difference was statistically verified using paired t-test. Consequently, a significant difference (pā€‰<ā€‰0.05) was found in every derived variable except for most variables in ACAbaseline, ACAdia, PPGAVsys, PPGVdia, in nHF of PPGAVsys/ACAbaseline, in nHF, LF/HF of PPGAVsys/ACAdia, in nLF, nHF of PPGAVdia/ACAdia, and in nLF, nHF of PPGAVdia/ACAbaseline. This result suggests that the possibility of frequency domain analysis of PPGV as a novel indicator of surgical pain quantification.

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Acknowledgements

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT and Future Planning (NRF-2015R1C1A1A02036535).

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Correspondence to Hangsik Shin .

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Yang, Y.L., Seok, H.S., Shin, H. (2019). Investigation of the Feasibility of Postoperative Pain Assessment Using Frequency Analysis of Photoplethysmogram Variability. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/2. Springer, Singapore. https://doi.org/10.1007/978-981-10-9038-7_65

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  • DOI: https://doi.org/10.1007/978-981-10-9038-7_65

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  • Online ISBN: 978-981-10-9038-7

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