Pain Digital Biomarker Detection by Epidermal Biopotential Flexible Sensor and AI-Based System

    J. Utsumi, M. Tominaga, K. Miyakawa, S. Yoshimoto, L. Yizhi, K. Takamori
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    TLDR A new pain-measuring system using sensors and AI can effectively detect pain in mice, which may help assess pain in humans and develop treatments.
    The document discusses a new method for objectively evaluating pain using an Epidermal Biopotential Sensing System (EBSS) developed by PGV Inc. This system uses a flexible, wireless sensor to measure signals as digital biomarkers. The sensors were attached to mice, and the signals were recorded and transmitted to an AI system. The mice were administered capsaicin, a pain-inducer, and pregabalin, an analgesic. The results showed that capsaicin had a large negative effect in the theta band and a large positive and negative effect sizes in the high frequency gamma band, while pregabalin showed the opposite profile. This suggests that the changes in effect size may reflect pain induction and analgesic responses. The study concludes that the EBSS has significant potential for measuring digital biomarkers of pain, which could be useful in assessing pain in the elderly and children, and in the development of pain treatments and analgesics.
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