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您的检索式：作者名="Weicong Lin"
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| 1 | IMU-based motion capture system for rehabilitation applications: A systematic review显示文摘In recent years,the use of inertial measurement unit(IMU)-based motion capture(Mocap)systems in rehabilitation has grown significantly.This paper aimed to provide an overview of current IMUbased Mocap system designs in the field of rehabilitation,explore the specific applications and implementation of these systems,and discuss potential future developments considering sensor limitations.For this review,a systematic literature search was conducted using Scopus,IEEE Xplore,PubMed,and Web of Science from 2013 to 2022.A total of 65 studies were included and analyzed based on their rehabilitation application,target population,and system deployment and measurement.The proportion of rehabilitation assessment,training,and both were 82%,12%,and 6%respectively.The results showed that primary focus of the studies was stroke that was one of the most commonly studied pathological disease.Additionally,general rehabilitation without targeting a specific pathology was also examined widely,with a particular emphasis on gait analysis.The most common sensor configuration for gait analysis was two IMUs measuring spatiotemporal parameters of the lower limb.However,the lack of training applications and upper limb studies could be attributed to the limited battery life and sensor drift.To address this issue,the use of low-power chips and low-consumption transmission pathways was a potential way to extend usage time for long-term training.Furthermore,we suggest the development of a highly integrated multi-modal system with sensor fusion. | Chenyu Gu Weicong Lin Xinyi He Lei Zhang Mingming Zhang | 2023 | Biomimetic Intelligence & Robotics2023，3，2： | 0 |
| 2 | Role of artificial intelligence in early detection and screening for pancreatic adenocarcinoma显示文摘Pancreatic adenocarcinoma remains to be one of the deadliest malignancies in the world despite treatment advancement over the past few decades.Its low survival rates and poor prognosis can be attributed to ambiguity in recommendations for screening and late symptom onset,contributing to its late presentation.In the recent years,artificial intelligence(AI)as emerged as a field to aid in the process of clinical decision making.Considerable efforts have been made in the realm of AI to screen for and predict future development of pancreatic ductal adenocarcinoma.This review discusses the use of AI in early detection and screening for pancreatic adenocarcinoma,and factors which may limit its use in a clinical setting. | Kenneth Weicong Lin Tiing Leong Ang James Weiquan Li | 2022 | Artificial Intelligence in Medical Imaging2022，3，2： | 0 |
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