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<ā0.05) 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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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., LackoviÄ, 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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