Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering最新文献

Development of a Wearable Smart Guide Device for the Blind 一种可穿戴式智能盲人导盲装置的研制

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502896

Yi Li, Chenfeng Xiao, Juanjuan Gu, Rongchao Peng

{"title":"Development of a Wearable Smart Guide Device for the Blind","authors":"Yi Li, Chenfeng Xiao, Juanjuan Gu, Rongchao Peng","doi":"10.1145/3502871.3502896","DOIUrl":"https://doi.org/10.1145/3502871.3502896","url":null,"abstract":"We developed a wearable smart guide device that can recognize the traffic lights and the crosswalk to help the blind to cross the road. The device uses a camera to real-time capture the road environment images and transmit them to Raspberry Pi, which runs a Python algorithm to detect the traffic lights and the crosswalk. The algorithm, on the one hand, partitions the captured image with a threshold in HSV color space, and then calculates its similarity with a pre-set template of the traffic light using template matching, and finally determines whether the traffic light exists and figures out its position if it exists; on the other hand, detects the edges in the captured image using Canny algorithm, and then finds out the straight lines in the edges using Hough Transform, and finally determines whether the crosswalk exists and figures out its position if it exists. The results of the recognized traffic lights or crosswalk are then converted to speeches through text-to-speech engines in Baidu Artificial Intelligence Cloud, and played to the user via a loudspeaker or Bluetooth earphones. After tested in different real situations, the developed device ran well and successfully recognized the traffic lights and the crosswalks. We think it is useful to bring convenience for the blind people walking outside.","PeriodicalId":253757,"journal":{"name":"Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering","volume":"471 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123056470","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

The Quantitative Study of The Extracellular Action Potential Generated By Stimulated Cells Using Numerical Simulation Tools 利用数值模拟工具定量研究受刺激细胞产生的胞外动作电位

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502880

Haonan Li

{"title":"The Quantitative Study of The Extracellular Action Potential Generated By Stimulated Cells Using Numerical Simulation Tools","authors":"Haonan Li","doi":"10.1145/3502871.3502880","DOIUrl":"https://doi.org/10.1145/3502871.3502880","url":null,"abstract":"Extracellular action potential is the electrical potential generated by the inflow and outflow of ions under certain stimulation. This article studies the relationship between extracellular action potential and time at each point of a simulated cell under a certain stimulation. We investigate the variation of membrane potential around a given cell after a certain amount of stimulation. We can calculate the potential around a constant current by using the calculation formula of the potential outside the cell and get a certain rule of the potential change. We use NEURON to fit a cell and stimulate the cell. The data obtained were drawn by MATLAB. The relationship drawn verified that the change law of the potential outside the cell was the same as the change law of the potential around the constant current. We extracted a general mathematical relationship to describe the dependence of extracellular potential on distance, and these results provide novel guidelines for future brain-machine interface design and other electrode recording applications in biomedical research.","PeriodicalId":253757,"journal":{"name":"Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117087144","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

Practical Application and Challenges of Computer-aided Diagnosis System Using Deep Learning: A Case Study of Gastric Cancer in Japan 基于深度学习的计算机辅助诊断系统的实际应用与挑战——以日本胃癌为例

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502883

H. Ichikawa, Mika Goto

引用次数: 0

Covid-19 Detection Using Chest Computed Tomography Scans on Ecuadorian Patients Who Live in the Highland Region 对居住在高地地区的厄瓜多尔患者进行胸部计算机断层扫描检测Covid-19

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502873

Kelding Jacho, Danny Mauricio Martinez, Nancy E. Guerrón, Mayra Erazo-Rodas

{"title":"Covid-19 Detection Using Chest Computed Tomography Scans on Ecuadorian Patients Who Live in the Highland Region","authors":"Kelding Jacho, Danny Mauricio Martinez, Nancy E. Guerrón, Mayra Erazo-Rodas","doi":"10.1145/3502871.3502873","DOIUrl":"https://doi.org/10.1145/3502871.3502873","url":null,"abstract":"The early detection of COVID-19 is one of the current challenges in developing effective diagnosis and treatment mechanisms for patients who are at a high risk for community contagion. Computed Tomography (CT) is an essential support for detecting the infection pattern that causes this disease. CT scans provide relevant information on the morphological appearance of the infected parenchymal tissue, known as ground-glass opacities. Artificial Intelligence (AI) can assist in the quick evaluation of CT scans to differentiate COVID-19 findings in suggestive clinical cases. In this context, AI in the form of, Convolutional Neural Networks (CNN), has achieved successful results in the analysis and classification of medical images. A deep CNN architecture is proposed in this study to diagnose COVID-19 based on the classification of Chest Computed Tomography (CCT) images. In this study 8,624 CCTs of Ecuadorian patients affected by COVID-19 in the first quarter of 2021, were examined. The initial review of CCTs was performed by medical experts to discriminate the CCTs against other chronic lung diseases not associated with COVID-19. The CCTs were pre-processed by techniques such as morphological segmentation, erosion, dilation, and adjustment. After training the model reached an overall F1-score of 97%.","PeriodicalId":253757,"journal":{"name":"Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130164944","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

Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN 利用3D-CNN检测胸部CT图像异常不透明

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502876

Yuichi Koizumi, Tohru Kamiya, T. Aoki, S. Kido

引用次数: 0

Automatic Early Gastric Cancer Segmentation in Gastroscopic Images Based on ResUnet 基于ResUnet的胃镜图像早期胃癌自动分割

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502874

Wenju Du, N. Rao, Jiahao Yong, Yingchun Wang, Dingcan Hu, Tao Gan, Linlin Zhu

{"title":"Automatic Early Gastric Cancer Segmentation in Gastroscopic Images Based on ResUnet","authors":"Wenju Du, N. Rao, Jiahao Yong, Yingchun Wang, Dingcan Hu, Tao Gan, Linlin Zhu","doi":"10.1145/3502871.3502874","DOIUrl":"https://doi.org/10.1145/3502871.3502874","url":null,"abstract":"∗Gastric cancer (GC) is one of the most important healthcare problem worldwide. To reduce the incidence of advanced GC and improve the patients’ survival rate, there are an immediate need for early diagnosis and treatment of early gastric cancer (EGC). In this study, we proposed a segmentation network named ResUnet through replacing the VGGblock in the traditional U-Net by ResBlock. ResBlock can extract better EGC features, and ResUnet has achieved better EGC segmentation result. Totally 4,520 gastroscopic images were used to train and test the proposed method in this work. Our EGC segmentation method achieves 92.32% Dice similarity coefficient and 92.22% precision, which is superior to the other state-of-the-art methods. Therefore, the proposed method offers a good potential to aid the clinical diagnosis of EGC. ∗This is the corresponding author. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. ICBBE ’21, November 12–15, 2021, Kyoto, Japan © 2021 Association for Computing Machinery. ACM ISBN 978-1-4503-8507-7/21/11. . . $15.00 https://doi.org/10.1145/3502871.3502874 CCS CONCEPTS • Applied computing; • Life and medical sciences; • Bioinformatics;","PeriodicalId":253757,"journal":{"name":"Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131834256","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: 1

Improved B0 Field Estimation Near Air/Tissue Interface And Its Application In Single-Shot Echo-Planar Readout Based Diffusion Imaging 空气/组织界面附近改进的B0场估计及其在单发回波平面读出扩散成像中的应用

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502878

Qikang Li, Lihong Tang, Jia Wang, Bingyang Cai, Jie Luo

引用次数: 0

Development of a Rat-Licking Device for Operant Conditioning Experiments 操作性条件反射实验舔鼠装置的研制

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502898

Shan Ma, Rongchao Peng, Dachao Wei, Yi Li

{"title":"Development of a Rat-Licking Device for Operant Conditioning Experiments","authors":"Shan Ma, Rongchao Peng, Dachao Wei, Yi Li","doi":"10.1145/3502871.3502898","DOIUrl":"https://doi.org/10.1145/3502871.3502898","url":null,"abstract":"Behavior experiments in rodents are one of the main methods to study depression. However, most animal behavior experiments rely on experimenters to manually record data, and it is prone to errors caused by human factors. When the experiment involves a large number of animal subjects and takes a long time, it is really a heavy workload for the experimenters. To overcome these shortcomings, we developed a device using electromechanical integration technology to automatically record the data of the rat's licking behavior and automatically feed the animal for reward. This device is composed of a Raspberry Pi computer and a syringe pump. The Raspberry Pi identifies different IDs through the radio frequency identification module to select different experimental plans. When the experiment is going, the Raspberry Pi collects the rat's licking and movement data through two touch sensors and an infrared sensor, automatically stores them in a text file, and determines whether to drive the syringe pump to feed the animal according to pre-set licking criteria. The feeding is a fixed small volume of sugar water that is given to the rat for reward, and the volume is configurable by the user before the experiment. When tested, the device worked stably and reliably. The accuracy of the touch sensors for touching is 97.56%, and they reliably detected fast-speed touching in small touch areas. The error of the real infusion volumes is less than 8% of the pre-set volumes. We think this device is helpful in practical use. It will bring convenience to the experimenter, reduce the manual workload and improve the precision of the experiments.","PeriodicalId":253757,"journal":{"name":"Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130438587","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

Investigating The Possible Effect of Gak-3βinhibitor on Macrophage Transformation Via TLR3 and 4 Signaling Pathway gak -3β抑制剂通过TLR3和4信号通路对巨噬细胞转化的可能影响

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502900

Yangyang Liu, Minye Zhou, Bingyi Wang, Da Huo, Madeline Ha

引用次数: 0

Research on Clinical Treatment of Biomedicine in Preventing Epidemic Model 生物医学预防流行病模式的临床治疗研究

Proceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering Pub Date : 2021-11-12 DOI: 10.1145/3502871.3502887

H-R Fan

引用次数: 0