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冯陆颖
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论文

Force Calibration and Prediction of Soft Stretch Sensor Based on Deep Learning

期刊: 2023 International Conference on Advanced Robotics and Mechatronics (ICARM)  2023
作者: Luying Feng,Lianghong Gui,Zehao Yan,Linfan Yu,Canjun Yang,Wei Yang
DOI:10.1109/icarm58088.2023.10218756

Muscle Synergy-Based Human-in-the-Loop Optimization for Personalized Hip Exoskeleton Control

期刊: 2023 International Conference on Advanced Robotics and Mechatronics (ICARM)  2023
作者: Wei Yang,Zehao Yan,Linfan Yu,Luying Feng,Lianghong Gui,Canjun Yang
DOI:10.1109/icarm58088.2023.10218406

Design and Control of a Novel Underactuated Soft Exosuit

期刊: Intelligent Robotics and Applications  2023
作者: Wei Yang,Lianghong Gui,Luying Feng,Canjun Yang,Qiaohuan Cao
DOI:10.1007/978-981-99-6489-5_46

Biosensors toward behavior detection in diagnosis of alzheimer’s disease

In recent years, a huge number of individuals all over the world, elderly people, in particular, have been suffering from Alzheimer’s disease (AD), which has had a significant negative impact on their quality of life. To intervene early in the progression of the disease, accurate, convenient, and low-cost detection technologies are gaining increased attention. As a result of their multiple merits in the detection and assessment of AD, biosensors are being frequently utilized in this field. Behavioral detection is a prospective way to diagnose AD at an early stage, which is a more objective and quantitative approach than conventional neuropsychological scales. Furthermore, it provides a safer and more comfortable environment than those invasive methods (such as blood and cerebrospinal fluid tests) and is more economical than neuroimaging tests. Behavior detection is gaining increasing attention in AD diagnosis. In this review, cutting-edge biosensor-based devices for AD diagnosis together with their measurement parameters and diagnostic effectiveness have been discussed in four application subtopics: body movement behavior detection, eye movement behavior detection, speech behavior detection, and multi-behavior detection. Finally, the characteristics of behavior detection sensors in various application scenarios are summarized and the prospects of their application in AD diagnostics are presented as well.

期刊: Frontiers in Bioengineering and Biotechnology  2022
作者: Xiaotong Sun,Xu Sun,Qingfeng Wang,Xiang Wang,Luying Feng,Yifan Yang,Ying Jing,Canjun Yang,Sheng Zhang
DOI:10.3389/fbioe.2022.1031833

The Application of Wearable Glucose Sensors in Point-of-Care Testing

Diabetes and its complications have become a worldwide concern that influences human health negatively and even leads to death. The real-time and convenient glucose detection in biofluids is urgently needed. Traditional glucose testing is detecting glucose in blood and is invasive, which cannot be continuous and results in discomfort for the users. Consequently, wearable glucose sensors toward continuous point-of-care glucose testing in biofluids have attracted great attention, and the trend of glucose testing is from invasive to non-invasive. In this review, the wearable point-of-care glucose sensors for the detection of different biofluids including blood, sweat, saliva, tears, and interstitial fluid are discussed, and the future trend of development is prospected.

期刊: Frontiers in Bioengineering and Biotechnology  2021
作者: Sheng Zhang,Junyan Zeng,Chunge Wang,Luying Feng,Zening Song,Wenjie Zhao,Qianqian Wang,Chen Liu
DOI:10.3389/fbioe.2021.774210

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