首页期刊导航|上海交通大学学报（英文版）
期刊信息/Journal information
上海交通大学学报（英文版）
上海交通大学学报（英文版）

郑杭

双月刊

1007-1172

xuebao2006@sjtu.edu.cn

021-62933373

200030

上海市华山路1954号上海交通大学

上海交通大学学报（英文版）/Journal Journal of Shanghai Jiaotong University(Science)EI
查看更多>>本刊是由上海交通大学主办的自然科学综合性学术期刊。它以马列主义、毛泽东思想和邓小平理论为指导。以促进科学技术发展、培育科技人才、为社会主义现代化建设服务为宗旨。本刊主要刊载船舶与海洋工程、动力、机械、能源、材料、电气、电子、计算机、化工、生物工程、管理科学，以及数学、物理、工程力学等方面的最新研究成果。本刊为中国自然科学核心期刊和中国科技论文统计用刊源之一。
正式出版
收录年代

    Review of Power-Assisted Lower Limb Exoskeleton Robot

    贺贵松黄学功李峰汪辉兴...
    1-15页
    查看更多>>摘要：Power-assisted lower limb exoskeleton robot is a wearable intelligent robot system involving mechanics,materials,electronics,control,robotics,and many other fields.The system can use external energy to provide additional power to humans,enhance the function of the human body,and help the wearer to bear weight that is previously unbearable.At the same time,employing reasonable structure design and passive energy storage can also assist in specific actions.First,this paper introduces the research status of power-assisted lower limb exoskeleton robots at home and abroad,and analyzes several typical prototypes in detail.Then,the key technologies such as structure design,driving mode,sensing technology,control method,energy management,and human-machine coupling are summarized,and some common design methods of the exoskeleton robot are summarized and compared.Finally,the existing problems and possible solutions in the research of power-assisted lower limb exoskeleton robots are summarized,and the prospect of future development trend has been analyzed.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Review of Key Technologies for Developing Personalized Lower Limb Rehabilitative Exoskeleton Robots

    陶璟周振欢
    16-28页
    查看更多>>摘要：Rehabilitative training and assistance to daily living activities play critical roles in improving the life quality of lower limb dyskinesia patients and older people with motor function degeneration.Lower limb reha-bilitative exoskeleton has a promising application prospect in support of the above population.In this paper,critical technologies for developing lower limb rehabilitative exoskeleton for individualized user needs are identi-fied and reviewed,including exoskeleton hardware modularization,bionic compliant driving,individualized gait planning and individual-oriented motion intention recognition.Inspired by the idea of servitization,potentials in exoskeleton product-service system design and its enabling technologies are then discussed.It is suggested that future research will focus on exoskeleton technology and exoskeleton-based service development oriented to an individual's physical features and personalized requirements to realize better human-exoskeleton coordination in terms of technology,as well as accessible and high-quality rehabilitation and living assistance in terms of utility.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Time-Resolved Imaging in Short-Wave Infrared Region

    徐杨李万万
    29-36页
    查看更多>>摘要：Compared with the conventional first near-infrared(NIR-I,700-900 nm)window,the short-wave infrared region(SWIR,900-1700nm)possesses the merits of the increasing tissue penetration depths and the suppression of scattering background,leading to great potential for in vivo imaging.Based on the limitations of the common spectral domain,and the superiority of the time-dimension,time-resolved imaging eliminates the auto-fluorescence in the biological tissue,thus supporting higher signal-to-noise ratio and sensitivities.The imaging technique is not affected by the difference in tissue composition or thickness and has the practical value of quan-titative in vivo detection.Almost all the relevant time-resolved imaging was carried out around lanthanide-doped upconversion nanomaterials,owing to the advantages of ultralong luminescence lifetime,excellent photostability,controllable morphology,easy surface modification and various strategies of regulating lifetime.Therefore,this review presents the research progress of SWIR time-resolved imaging technology based on nanomaterials doped with lanthanide ions as luminescence centers in recent years.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Transfer Learning in Motor Imagery Brain Computer Interface:A Review

    李明爱许冬芹
    37-59页
    查看更多>>摘要：Transfer learning,as a new machine learning methodology,may solve problems in related but different domains by using existing knowledge,and it is often applied to transfer training data from another domain for model training in the case of insufficient training data.In recent years,an increasing number of researchers who engage in brain-computer interface(BCI),have focused on using transfer learning to make most of the available electroencephalogram data from different subjects,effectively reducing the cost of expensive data acquisition and labeling as well as greatly improving the learning performance of the model.This paper surveys the development of transfer learning and reviews the transfer learning approaches in BCI.In addition,according to the"what to transfer"question in transfer learning,this review is organized into three contexts:instance-based transfer learning,parameter-based transfer learning,and feature-based transfer learning.Furthermore,the current transfer learning applications in BCI research are summarized in terms of the transfer learning methods,datasets,evaluation performance,etc.At the end of the paper,the questions to be solved in future research are put forward,laying the foundation for the popularization and in-depth research of transfer learning in BCI.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    A Novel Cable-Driven Soft Robot for Surgery

    李茹陈方俞文伟IGARASH Tatsuo...
    60-72页
    查看更多>>摘要：Robot-assisted laparoscopic radical prostatectomy(RARP)is widely used to treat prostate cancer.The rigid instruments primarily used in RARP cannot overcome the problem of blind areas in surgery and lead to more trauma such as more incision for the passage of the instrument and additional tissue damage caused by rigid instruments.Soft robots are relatively flexible and theoretically have infinite degrees of freedom which can overcome the problem of the rigid instrument.A soft robot system for single-port transvesical robot-assisted radical prostatectomy(STvRARP)is developed in this study.The soft manipulator with 10 mm in diameter and a maximum bending angle of 270° has good flexibility and dexterity.The design and mechanical structure of the soft robot are described.The kinematics of the soft manipulator is established and the inverse kinematics is compensated based on the characteristics of the designed soft manipulator.The master-slave control system of soft robot for surgery is built and the feasibility of the designed soft robot is verified.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Retinal Vessel Segmentation via Adversarial Learning and Iterative Refinement

    顾闻徐奕
    73-80页
    查看更多>>摘要：Retinal vessel segmentation is a challenging medical task owing to small size of dataset,micro blood vessels and low image contrast.To address these issues,we introduce a novel convolutional neural network in this paper,which takes the advantage of both adversarial learning and recurrent neural network.An iterative design of network with recurrent unit is performed to refine the segmentation results from input retinal image gradually.Recurrent unit preserves high-level semantic information for feature reuse,so as to output a sufficiently refined segmentation map instead of a coarse mask.Moreover,an adversarial loss is imposing the integrity and connectivity constraints on the segmented vessel regions,thus greatly reducing topology errors of segmentation.The experimental results on the DRIVE dataset show that our method achieves area under curve and sensitivity of 98.17％and 80.64％,respectively.Our method achieves superior performance in retinal vessel segmentation compared with other existing state-of-the-art methods.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Unsupervised Oral Endoscope Image Stitching Algorithm

    黄荣常青张扬
    81-90页
    查看更多>>摘要：Oral endoscope image stitching algorithm is studied to obtain wide-field oral images through regis-tration and stitching,which is of great significance for auxiliary diagnosis.Compared with natural images,oral images have lower textures and fewer features.However,traditional feature-based image stitching methods rely heavily on feature extraction quality,often showing an unsatisfactory performance when stitching images with few features.Moreover,due to the hand-held shooting,there are large depth and perspective disparities between the captured images,which also pose a challenge to image stitching.To overcome the above problems,we propose an unsupervised oral endoscope image stitching algorithm based on the extraction of overlapping regions and the loss of deep features.In the registration stage,we extract the overlapping region of the input images by sketching polygon intersection for feature points screening and estimate homography from coarse to fine on a three-layer feature pyramid structure.Moreover,we calculate loss using deep features instead of pixel values to emphasize the importance of depth disparities in homography estimation.Finally,we reconstruct the stitched images from feature to pixel,which can eliminate artifacts caused by large parallax.Our method is compared with both feature-based and previous deep-based methods on the UDIS-D dataset and our oral endoscopy image dataset.The experimental results show that our algorithm can achieve higher homography estimation accuracy,and better visual quality,and can be effectively applied to oral endoscope image stitching.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Medical Image Encryption Based on Josephus Traversing and Hyperchaotic Lorenz System

    杨娜张淑霞白牡丹李珊珊...
    91-108页
    查看更多>>摘要：This study proposes a new medical image encryption scheme based on Josephus traversing and hyper-chaotic Lorenz system.First,a chaotic sequence is generated through hyperchaotic system.This hyperchaotic sequence is used in the scrambling and diffusion stages of the algorithm.Second,in the scrambling process,the image is initially confused by Josephus scrambling,and then the image is further confused by Arnold map.Finally,generated hyperchaos sequence and exclusive OR operation is used for the image to carry on the positive and reverse diffusion to change the pixel value of the image and further hide the effective information of the image.In addition,the information of the plaintext image is used to generate keys used in the algorithm,which increases the ability of resisting plaintext attack.Experimental results and security analysis show that the scheme can effectively hide plaintext image information according to the characteristics of medical images,and is resistant to common types of attacks.In addition,this scheme performs well in the experiments of robustness,which shows that the scheme can solve the problem of image damage in telemedicine.It has a positive significance for the future research.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Ensemble Attention Guided Multi-SEANet Trained with Curriculum Learning for Noninvasive Prediction of Gleason Grade Groups from MRI

    沈傲胡冀苏金鹏飞周志勇...
    109-119页
    查看更多>>摘要：The Gleason grade group(GG)is an important basis for assessing the malignancy of prostate can-cer,but it requires invasive biopsy to obtain pathology.To noninvasively evaluate GG,an automatic prediction method is proposed based on multi-scale convolutional neural network of the ensemble attention module trained with curriculum learning.First,a lesion-attention map based on the image of the region of interest is proposed in combination with the bottleneck attention module to make the network more focus on the lesion area.Second,the feature pyramid network is combined to make the network better learn the multi-scale information of the lesion area.Finally,in the network training,a curriculum based on the consistency gap between the visual evaluation and the pathological grade is proposed,which further improves the prediction performance of the network.Ex-perimental results show that the proposed method is better than the traditional network model in predicting GG performance.The quadratic weighted Kappa is 0.4711 and the positive predictive value for predicting clinically significant cancer is 0.936 9.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Weighted Heterogeneous Graph-Based Incremental Automatic Disease Diagnosis Method

    田圆圆金衍瑞李志远刘金磊...
    120-130页
    查看更多>>摘要：The objective of this study is to construct a multi-department symptom-based automatic diagnosis model.However,it is difficult to establish a model to classify plenty of diseases and collect thousands of disease-symptom datasets simultaneously.Inspired by the thought of"knowledge graph is model",this study proposes to build an experience-infused knowledge model by continuously learning the experiential knowledge from data,and incrementally injecting it into the knowledge graph.Therefore,incremental learning and injection are used to solve the data collection problem,and the knowledge graph is modeled and containerized to solve the large-scale multi-classification problems.First,an entity linking method is designed and a heterogeneous knowledge graph is constructed by graph fusion.Then,an adaptive neural network model is constructed for each dataset,and the data is used for statistical initialization and model training.Finally,the weights and biases of the learned neural network model are updated to the knowledge graph.It is worth noting that for the incremental process,we consider both the data and class increments.We evaluate the diagnostic effectiveness of the model on the current dataset and the anti-forgetting ability on the historical dataset after class increment on three public datasets.Compared with the classical model,the proposed model improves the diagnostic accuracy of the three datasets by 5％,2％,and 15％on average,respectively.Meanwhile,the model under incremental learning has a better ability to resist forgetting.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普