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Spider-inspired tunable mechanosensor for biomedical applications

npj Flexible Electronics 2023年第1期7卷 444-452页

作者： Taewi Kim Insic Hong Yeonwook Roh Dongjin Kim Sungwook Kim Sunghoon Im Changhwan Kim Kiwon Jang Seongyeon Kim Minho Kim Jieun Park Dohyeon Gong kihyeon ahn Jingoo Lee Gunhee Lee Hak-Seung Lee Jeehoon Kang Ji Man Hong Seungchul Lee Sungchul Seo Bon-Kwon Koo Je-sung Koh Seungyong Han Daeshik Kang Department of Mechanical Engineering Ajou UniversitySuwonKorea Department of Mechanical Engineering Pohang University of Science and TechnologyPohangKorea Department of Sustainable Environment Research Korea Institute of Machinery&MaterialsDaejeonKorea Department of Internal Medicine and Cardiovascular Center Seoul National University HospitalSeoulKorea Department of Neurology and Neurosurgery Ajou University School of MedicineSuwonKorea Department of Nano-chemical Biological and Environmental EngineeringSeokyeong UniversitySeoulKorea Institute on Aging Seoul National UniversitySeoulKorea

The recent advances of wearable sensors are remarkable but there are still limitations that they need to be refabricated to tune the sensor for target ***,biological sensory systems have the inherent potential to adjust their sensitivity according to the external environment,allowing for a broad and enhanced ***,we developed a Tunable,Ultrasensitive,Nature-inspired,Epidermal Sensor(TUNES)that the strain sensitivity was dramatically increased(GF~30k)and the pressure sensitivity could be tuned(10–254 kPa^(−1))by preset membrane *** sensor adjusts the sensitivity to the pressure regime by preset tension,so it can measure a wide range(0.05 Pa–25 kPa)with the best performance:from very small signals such as minute pulse to relatively large signals such as muscle contraction and *** verified its capabilities as a wearable health monitoring system by clinical trial comparing with pressure wire which is considered the current gold standard of blood pressure(r=0.96)and home health care system by binary classification of Old’s/Young’s pulse waves via machine learning(accuracy 95%).

关键词： Sensor adjust Spider

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