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AI-Enabled Piezoelectric Wearable for Joint Torque Monitoring
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作者 Jinke Chang Jinchen Li +9 位作者 Jiahao Ye Bowen Zhang Jianan Chen Yunjia Xia Jingyu Lei Tom Carlson Rui Loureiro Alexander MKorsunsky Jin-Chong Tan Hubin Zhao 《Nano-Micro Letters》 2025年第10期453-472,共20页
Joint health is critical for musculoskeletal(MSK)conditions that are affecting approximately one-third of the global population.Monitoring of joint torque can offer an important pathway for the evaluation of joint hea... Joint health is critical for musculoskeletal(MSK)conditions that are affecting approximately one-third of the global population.Monitoring of joint torque can offer an important pathway for the evaluation of joint health and guided intervention.However,there is no technology that can provide the precision,effectiveness,low-resource setting,and longterm wearability to simultaneously achieve both rapid and accurate joint torque measurement to enable risk assessment of joint injury and long-term monitoring of joint rehabilitation in wider environments.Herein,we propose a piezoelectric boron nitride nanotubes(BNNTs)-based,AI-enabled wearable device for regular monitoring of joint torque.We first adopted an iterative inverse design to fabricate the wearable materials with a Poisson's ratio precisely matched to knee biomechanics.A highly sensitive piezoelectric film was constructed based on BNNTs and polydimethylsiloxane and applied to precisely capture the knee motion,while concurrently realizing self-sufficient energy harvesting.With the help of a lightweight on-device artificial neural network,the proposed wearable device was capable of accurately extracting targeted signals from the complex piezoelectric outputs and then effectively mapping these signals to their corresponding physical characteristics,including torque,angle,and loading.A real-time platform was constructed to demonstrate the capability of fine real-time torque estimation.This work offers a relatively low-cost wearable solution for effective,regular joint torque monitoring that can be made accessible to diverse populations in countries and regions with heterogeneous development levels,potentially producing wide-reaching global implications for joint health,MSK conditions,ageing,rehabilitation,personal health,and beyond. 展开更多
关键词 Artificial intelligence wearables Joint torque monitoring Boron nitride nanotubes Piezoelectric devices Inverse design
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Reconstructed rheometer for direct monitoring of dewatering performance and torque in tailings thickening process 被引量:7
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作者 Yong Wang Ai-xiang Wu +4 位作者 Zhu-en Ruan Zhi-hui Wang Zong-su Wei Gang-feng Yang Yi-ming Wang 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2020年第11期1430-1437,共8页
To further clarify the dewatering performance and torque evolution during the tailings thickening process,a self-made rake was connected to a rheometer to monitor the shear stress and torque.The dewatering performance... To further clarify the dewatering performance and torque evolution during the tailings thickening process,a self-made rake was connected to a rheometer to monitor the shear stress and torque.The dewatering performance of the total tailings was greatly improved to a solid mass fraction of 75.33%in 240 min.The dewatering process could be divided into three stages:the rapid torque growth period,damping torque growth period,and constant torque thickening zone.The machine restart was found to have a significant effect on the rake torque;it could result in rake blockage.Furthermore,the simultaneous evolution of the torque and solid mass fraction of thickened tailings was analyzed.A relationship between the torque and the solid mass fraction was established,which followed a power function.Both the experimental and theoretical results provide a reference for the deep cone thickener design and operation to enhance the dewatering performance. 展开更多
关键词 TAILINGS DEWATERING RAKE reconstructed rheometer torque monitoring
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