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- W4366179619 abstract "Pain is a subjective sensation which is difficult to evaluate. Although it is commonly evaluated by the visual analog scale and other numerical methods, new objective evaluation methods are needed. We developed an Epidermal Biopotential Sensing System (EBSS) by a state-of-the-art flexible and wireless sensor (developed by PGV Inc.), and the measured signals were evaluated as digital biomarkers. Wearable sensors were attached to the head and back of mice, and signals were recorded and transmitted to a cloud-type artificial intelligent (AI) system. Capsaicin, a typical pain-inducer, and pregabalin as a clinical analgesic, respectively, were administered subcutaneously to the mice. The effect size (Cohen'sd) was calculated from the measured power intensity and EB potential fluctuations. The human EEG profile can be extrapolated to the animal EEG, the theta band (4-7 Hz) is known to increase during analgesia. In mice, capsaicin showed a large negative effect in the theta band and a large positive and negative effect sizes in the high frequency gamma band (40-60 Hz). In contrast, pregabalin showed the opposite profile to capsaicin. These changes in effect size may reflect pain induction and analgesic responses. In summary, we succeeded in demonstrating for the first time the notable potential of EBSS for the measurement of digital biomarkers of pain. This system will be able to assess pain in the elderly and children, who have difficulty in complaining pain and to contribute to the development of pain treatments and the screening of analgesics." @default.
- W4366179619 created "2023-04-19" @default.
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- W4366179619 date "2023-05-01" @default.
- W4366179619 modified "2023-09-28" @default.
- W4366179619 title "201 Pain digital biomarker detecting by epidermal biopotential flexible sensor and AI-based system" @default.
- W4366179619 doi "https://doi.org/10.1016/j.jid.2023.03.203" @default.
- W4366179619 hasPublicationYear "2023" @default.
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