2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献_第6页

A Raw Echo Simulation Method Based on Reference Signal Translation for InSAS 基于参考信号转换的InSAS原始回波仿真方法

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624422

H. Pan, Zhong Heping

引用次数: 3

A PCA-BP fast estimation method for broadband two-dimensional DOA of high subsonic flight targets based on the acoustic vector sensor array 基于声矢量传感器阵列的高亚音速飞行目标宽带二维DOA PCA-BP快速估计方法

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624358

Zhaonan Chen, Liguan Pei

引用次数: 1

Spatial Color Mixture Model of Digital Camouflage Based on Visual Transmission Characteristics 基于视觉传输特性的数字迷彩空间混色模型

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624458

Miao Chu

引用次数: 0

A flexible 3D force sensor for handwriting recognition 用于手写识别的柔性3D力传感器

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624406

Mengying Zhao, Jialei Geng, Jinli Yan, Xinjian Chen, Baoqing Nie

{"title":"A flexible 3D force sensor for handwriting recognition","authors":"Mengying Zhao, Jialei Geng, Jinli Yan, Xinjian Chen, Baoqing Nie","doi":"10.1109/CISP-BMEI53629.2021.9624406","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624406","url":null,"abstract":"This paper proposes a high-sensitivity flexible pressure sensor with three-dimensional force detection function, which has broad application prospects in artificial intelligence, tactile sensing, and electronic equipment. Our flexible three-dimensional force consists of two flexible cotton layers with conductive patterns and a dielectric elastic film with porous structure. Four parallel plate capacitors are realized on the porous elastic film. Under the action of the normal force, the porous structure elastic film is compressed, the distance between the two patterned electrodes is reduced, and the micropores are compressed, resulting in the change of dielectric constant, so the capacitance changes. Under the tangential force, the porous dielectric elastic film deforms, which causes the overlap area of the upper and lower patterned electrodes to change, which causes the change of capacitance. This study compares the Young's modulus of the porous structure elastic film with the solid film, which reflects that the porous structure elastic film is more prone to deformation. The minimum detectable force and response/recovery time experiments have also been carried out, and our sensors show good detection limits and response time. In addition, applying contact forces in different directions to the sensor can get different capacitance outputs, indicating that our sensors can distinguish forces in different directions. Finally, we made the sensor into a pen for handwriting recognition on different rough surfaces.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133090736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AML-Net: A Preliminary Screening Model for Mild Hypertension AML-Net:轻度高血压的初步筛选模型

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624382

Yui Lo, Lili Qu, Chaoying Li, Chengming Yang, Peiwu Qin, Yuhan Dong

{"title":"AML-Net: A Preliminary Screening Model for Mild Hypertension","authors":"Yui Lo, Lili Qu, Chaoying Li, Chengming Yang, Peiwu Qin, Yuhan Dong","doi":"10.1109/CISP-BMEI53629.2021.9624382","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624382","url":null,"abstract":"Hypertension, often known as high blood pressure, is a severe medical condition that is a prevalent risk factor responsible for many medical accidents. During the development of hypertension, there lies a critical window that makes hypertension curable. In order to reverse hypertensive features and to prevent aggravation of hypertension, the critical window to treat and maintain blood pressure happens in pre-hypertension or early hypertension stages when the symptoms are mild. This makes preliminary screening essential to prevent unwanted and unnecessary damages caused by hypertension. Inspired by an ophthalmologist's traditional approach to using fundus images, this paper collects and analyzes fundus images as an imaging modality to identify cases of mild hypertension. In this paper, we propose the Attention-based metric learning network (AML-Net) to discriminate between mild hypertension and healthy images to address preliminary screening. Experiment results stated the proposed end-to-end algorithm is able to achieve a 93.75% accuracy. To the best of our knowledge, this is the first automated approach towards preliminary hypertension screening and the first deep learning-based work on mild hypertensive fundus images.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133357795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Nanoparticle Preparation Using Microfluidics for Drug Delivery 利用微流体制备纳米颗粒用于药物递送

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624372

Jing Deng, Hongbo Zhang, R. Yin, Wenjun Zhang

引用次数: 0

SLAM Loop Closure Detection and Verification based on the Improved Siamese Network 基于改进Siamese网络的SLAM闭环检测与验证

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624460

Mei Wang, Xiaofeng Zhang, Y. Ou, Zhe Chen

{"title":"SLAM Loop Closure Detection and Verification based on the Improved Siamese Network","authors":"Mei Wang, Xiaofeng Zhang, Y. Ou, Zhe Chen","doi":"10.1109/CISP-BMEI53629.2021.9624460","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624460","url":null,"abstract":"Visual Simultaneous Localization and Mapping (VSLAM) occupies a pivotal position in the robotics field. The loop closure detection module, which is related to the quality of mapping and the accuracy of positioning, is an indispensable part of SLAM. In recent years, neural networks are often used to replace the feature extraction part of loop closure detection. These methods can extract more helpful features, but the effect is not significant. In this paper, an improved siamese network is proposed to view the loop as a whole to improve the real-time performance of SLAM. Firstly, an improved 2D-siamese is proposed to obtain candidate key frames. In order to integrate feature extraction and similarity comparison, this 2D-siamese uses SE-Resnet network as its branch. Secondly, a 3D-siamese network, which verifies the continuity by using continuous images, is proposed for eliminate mismatches and improve loop closure detection accuracy. The experimental results on TUM and KITTI datasets show that the proposed method can greatly improve the accuracy and recall rate of the loop closure detection.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127951973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Temporary Transformer Network for Guide- Wire Segmentation 导线分段的临时变压器网络

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624350

Guifang Zhang, H. Wong, Cheng Wang, Jianjun Zhu, Ligong Lu, G. Teng

{"title":"A Temporary Transformer Network for Guide- Wire Segmentation","authors":"Guifang Zhang, H. Wong, Cheng Wang, Jianjun Zhu, Ligong Lu, G. Teng","doi":"10.1109/CISP-BMEI53629.2021.9624350","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624350","url":null,"abstract":"In this paper, we solve the task of guide-wire segmentation in X-ray fluoroscopy sequences. Existing deep learning-based guide-wire segmentation models are mainly based on U-Net - a famous convolutional neural network (CNN) in the field of medical image segmentation. Despite its effectiveness, U-Net lacks the ability of modeling long-range dependency. Recently, transformers have attracted increasing attention due to its outstanding performance on modeling long-range dependency. Therefore, we try to adopt transformers to guide-wire segmentation task in this paper. In addition, existing models usually take the single frame as input and ignore the related information between different X-ray fluoroscopy frames in the same sequence. However, the related information can help networks to distinguish the common object through the entire sequence. From this insight, in this paper, we propose a temporary transformer network for guide-wire segmentation. Our network takes the current frame and the previous frames as inputs to obtain temporary information. And the transformers layers utilized in our network help capturing the long-range dependency in X-ray fluoroscopy sequences. Experimental results on the dataset from three hospitals demonstrate the-state-of-the-art performance of our network.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126098736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Correlation Filter Tracking via Global and Adaptive Local Parts 基于全局和自适应局部部分的相关滤波跟踪

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624207

Chaocan Xue, Jinlei Zheng, Bin Lin

引用次数: 0

Statistical analysis comparison of studies investigating the outcome of hyperbaric oxygen therapy in the management of diabetic foot ulceration 统计分析比较研究高压氧治疗治疗糖尿病足溃疡的结果

2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2021-10-23 DOI: 10.1109/CISP-BMEI53629.2021.9624446

Jianming Zhang, Zhiheng Wang, Xiao-li Ge

{"title":"Statistical analysis comparison of studies investigating the outcome of hyperbaric oxygen therapy in the management of diabetic foot ulceration","authors":"Jianming Zhang, Zhiheng Wang, Xiao-li Ge","doi":"10.1109/CISP-BMEI53629.2021.9624446","DOIUrl":"https://doi.org/10.1109/CISP-BMEI53629.2021.9624446","url":null,"abstract":"Controversial have been reported from studies evaluating the effect of hyperbaric oxygen therapy (HBOT) on diabetic foot ulceration (DFU), and the recommendations are inconsistent. The study objective was to systematically compare differences in methodological quality and conduct between studies favouring HBOT in the treatment of DFU and those that do not favour it. Secondary analysis of prospective comparative studies of the effectiveness of HBOT in DFU was performed. General information and study design were compared. Studies were classified as favouring HBOT if the primary outcome significantly favoured HBOT and non-favouring HBOT otherwise. Differences in various methodological quality domains were assessed using Cochrane risk of bias tool for randomized controlled trials (RCTs) and Newcastle-Ottawa Scale for observational studies. Thirteen of the 18 included studies favoured HBOT. None of the included studies was multi-centre, and most of them (59%, 10/17) either did not mention funding information or reported no funding. RCTs comprised 78% (14/18); their overall methodological quality was moderate. A few studies favouring HBOT reported an intention-to-treat analysis (30%, 3/10), had sham control (31%, 4/13), and stated the adverse effects of HBOT (46%, 6/13). Of the studies that did not favour HBOT, only one reported sample size calculation; however, it employed an inappropriate outcome. Both those favouring and not favouring HBOT for DFU were of inadequate quality to explain the effect of HBOT on DFU. Sufficiently large and high-quality international, multi-centre, randomized controlled clinical trials are required to formally examine the efficacy of HBOT in DFU.","PeriodicalId":131256,"journal":{"name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126426449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0