Communications of the ACM
Paper-Like, Battery-Free, AI-Enabled Sensor for Holistic Wound Monitoring
The sensor patch, resembling a five-petaled Pinwheel Flower (Tabernaemontana divaricata), and the sensing materials/principles for each colorimetric sensor.
Credit: Xin Ting Zheng et al
A battery-free holistic wound monitoring sensor patch developed by researchers at the National University of Singapore (NUS) and the Agency for Science, Technology and Research's Institute of Materials Research and Engineering uses artificial intelligence (AI) to identify the wearer's wounding healing status within 15 minutes.
The PETAL (Paper-like Battery-free In situ AI-enabled Multiplexed) sensor patch features five colorimetric sensors that measure the wound's temperature, pH, trimethylamine, uric acid, and moisture.
A mobile phone is used to capture the sensor images, which are then analyzed by an AI algorithm.
NUS's Benjamin Tee said, "Our AI algorithm is capable of rapidly processing data from a digital image of the sensor patch for very accurate classification of healing status. This can be done without removing the sensor from the wound. In this way, doctors and patients can monitor wounds more regularly with little interruption to wound healing."
From National University of Singapore
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Abstracts Copyright © 2023 SmithBucklin, Washington, D.C., USA
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