2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)最新文献_第9页

Modeling Sprouting Angiogenesis by Drift Forces with the Usage of Fokker-Planck Equation 利用漂移力模拟发芽血管生成的Fokker-Planck方程

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635409

H. Nieto-Chaupis

引用次数: 0

A Game-Based Cognitive Assessment for Visuospatial Tasks: Evaluation in Healthy Adults 基于游戏的视觉空间任务认知评估:健康成人评估

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635507

Marios Hadjiaros, K. Neokleous, Eirini C. Schiza, M. Matsangidou, M. Avraamides, C. Pattichis

引用次数: 0

Analysis of knee joint forces in different types of jumps of top futsal players at the beginning and at the end of the preparation period 顶尖五人制足球运动员不同类型跳跃训练开始和结束阶段膝关节受力分析

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635554

R. Radakovic, Sara Mijailovic, Nataša Zdravković Petrović, Aleksandra Vulovic, N. Filipovic, N. Zdravković

{"title":"Analysis of knee joint forces in different types of jumps of top futsal players at the beginning and at the end of the preparation period","authors":"R. Radakovic, Sara Mijailovic, Nataša Zdravković Petrović, Aleksandra Vulovic, N. Filipovic, N. Zdravković","doi":"10.1109/BIBE52308.2021.9635554","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635554","url":null,"abstract":"In this study, we will consider the forces in the knee joints of futsal players at the beginning and at the end of the training process focusing on two types of jumps: jumps without swing and jumps with swing. This study has two main objectives. The first objective is to compare the forces in the knee joint at the beginning and at the end of the training process in jumps without a swing and in jumps with a swing. The second objective is to show the distribution of deformations and stresses in the menisci of the knee joint at the beginning and at the end of the training process. Professional futsal players performed jumps that were analyzed using a force plate and high-speed video camera system. For this purpose, a 3D model of the human knee joint was developed from medical scans consisting of femur, fibula, tibia, articular cartilage, ligaments and menisci. Loads and material characteristics were adopted from the literature. Using finite element analysis, we were able to obtain a better insight into the distribution of deformation and stress in particular parts of the knee joint.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375522","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

Hemodynamics of Femoro-Popliteal “Bi-Pass” Surgery using FEA Methods 股腘“双通”手术血流动力学应用有限元分析方法

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635376

D. Nikolić, Dragan B. Sekulic, D. Milasinovic, D. Paunovic, Igor Sekulic, I. Šaveljić, N. Filipovic

{"title":"Hemodynamics of Femoro-Popliteal “Bi-Pass” Surgery using FEA Methods","authors":"D. Nikolić, Dragan B. Sekulic, D. Milasinovic, D. Paunovic, Igor Sekulic, I. Šaveljić, N. Filipovic","doi":"10.1109/BIBE52308.2021.9635376","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635376","url":null,"abstract":"Femoro-popliteal “by-pass” is indicated in the advanced stage of peripheral arterial occlusive disease. Indications for surgical treatment are set on the basis of the clinical picture, “ankle-brachial index” and angiographic findings. By the method of finite element analysis, three-dimensional models can be made on the basis of scanning angiography, on which we can measure different physical quantities and calculate the value of the “ankle-brachial index”. The aim is to show the hemodynamics of arteries by the method of finite element analysis (FEA) based on preoperative and postoperative scan angiography as well as physical quantities that can be measured in this way. In this review, the hemodynamics of femoro-popliteal “by-pass” on the preoperative and postoperative model are presented. The models obtained by FEA show: pressure, shear stress, velocities, and streamlines. Pressure, “ankle-brachial index”, compared with the values measured on the patient, with FEA results preoperatively and postoperatively. Postoperatively, higher values of pressure and “ankle-brachial index” were measured on the patient and on the models. The values shown in the models are significantly correlated with the values measured on the patient. Shear stress and velocity values are significantly reduced on postoperative models. The streamlines show a dominant anterior tibial artery. The values of physical quantities measured on the patient and on the models obtained by the FEA method correlate to a significant extent.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114617731","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

Numerical modelling in assessment of different colorectal cancer cell lines behavior in treatment with cisplatin 数值模拟评估不同结直肠癌细胞系在顺铂治疗中的行为

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635412

D. Šeklić, T. Djukić, M. Zivanovic, M. Jovanović, N. Filipovic

引用次数: 0

Machine Learning-based Image Processing in Support of Discus Hernia Diagnosis 基于机器学习的图像处理在铁饼疝诊断中的应用

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635305

T. Šušteršič, Vesna Ranković, Vojin Kovacevic, Vladimir M. Milovanović, L. Rasulić, N. Filipovic

{"title":"Machine Learning-based Image Processing in Support of Discus Hernia Diagnosis","authors":"T. Šušteršič, Vesna Ranković, Vojin Kovacevic, Vladimir M. Milovanović, L. Rasulić, N. Filipovic","doi":"10.1109/BIBE52308.2021.9635305","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635305","url":null,"abstract":"Diagnosing lumbar discus hernia is a challenging task, due to disc and vertebral variations in size, shape, quantity, and appearance. Medical history and physical examination, electrodiagnostic tests, and MRIs are all used by doctors to set a definitive diagnosis. A majority of the state-of-the-art methods are semi-automatic and require extra corrections to the solution or are extremely sensitive to changes in parameters. Based on literature review, there is a solid basis for implementation of machine learning-based methods for disc herniation detection in MRI images. An automated segmentation method of vertebrae and discs is proposed in this study as a first step towards a decision support system for discus hernia identification. Dataset consisted of 104 images in sagittal and 99 images in axial views. Optimized convolutional neural network U-net has demonstrated very high accuracy in segmentation. Additional result represents the calculated distance from the disc's center to the disc's edge points in axial images across 360°, which results in clearly different number of peaks for the healthy and diseased discs. Fully automated computer diagnostic system helps speed up the process of setting up adequate diagnosis and reducing human mistakes.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125349505","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

An Analysis of Feature Selection Techniques For COVID-19 Detection on Chest X-Ray Data 胸部x线数据检测COVID-19的特征选择技术分析

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635181

André L. Jeller Selleti, C. Silla

引用次数: 0

A Heuristic Strategy for Multi-Mapping Reads to Enhance Hi-C Data 一种多映射读取的启发式策略以增强Hi-C数据

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635215

Chanaka Bulathsinghalage, Lu Liu

引用次数: 0

Predicting Fruit Fly Behaviour using TOLC device and DeepLabCut 利用TOLC装置和DeepLabCut预测果蝇行为

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635290

Sanghoon Lee, Brayden Waugh, Garret O'Dell, Xiji Zhao, Wook-Sung Yoo, Dalhyung Kim

{"title":"Predicting Fruit Fly Behaviour using TOLC device and DeepLabCut","authors":"Sanghoon Lee, Brayden Waugh, Garret O'Dell, Xiji Zhao, Wook-Sung Yoo, Dalhyung Kim","doi":"10.1109/BIBE52308.2021.9635290","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635290","url":null,"abstract":"Animal behavior is an essential element in neuroscience study and noninvasive behavioral tracking of animals during experiments is crucial to many scientific pursuits. However, extracting detailed poses without markers in dynamically changing backgrounds has been a challenge. Transparent Omnidirectional Locomotion Compensator (TOLC), a tracking device, was recently developed to investigate longitudinal studies of a wide range of behavior in an unrestricted walking Drosophila without tethering and the conventional image segmentation method has been used to identify the centroids of the walking Drosophila. Since the shape or morphological features of the pixel-wise mask may vary depending on the captured images, however, the centroid calculation errors could occur when segmenting the walking Drosophila. To solve the problem, DeepLabCut, an open-source deep-learning toolbox performing markerless pose estimation on a sequence of images for quantitative behavioral analysis, was utilized to find the centroids of Drosophila melanogaster in a video recorded by TOLC. One hundred labeled images with centroids were created for the training of ResNet50 among 60,984 images and used for predicting 5,000 images in the experiment. The results of the experiment showed that the centroids predicted by the deep learning model are more accurate than the centroids from the morphological features in a specific part of the sequence of the images. Additionally, we created 200 labeled images with legs for the training of ResN et50 and predicted 5,000 images to investigate the difference between the centroids of a Drosophila melanogaster over the locations of the legs. The centroids generated from morphological features often provide incorrect information when the Drosophila melanogaster stretches out the front legs for some regions. Detailed analysis of experiment results and the future research direction with more extensive experiments are discussed.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127412937","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

Analysis of forces in knee joints of top football players and futsal players in different types of jumps 顶级足球运动员和五人制足球运动员不同类型跳跃时膝关节受力分析

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2021-10-25 DOI: 10.1109/BIBE52308.2021.9635362

R. Radakovic, Nikola Jankovic, Jelica Dimitrijević, Nataša Zdravković Petrović, Aleksandra Vulovic, N. Filipovic

{"title":"Analysis of forces in knee joints of top football players and futsal players in different types of jumps","authors":"R. Radakovic, Nikola Jankovic, Jelica Dimitrijević, Nataša Zdravković Petrović, Aleksandra Vulovic, N. Filipovic","doi":"10.1109/BIBE52308.2021.9635362","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635362","url":null,"abstract":"In this paper, we will consider the forces in knee joints in football and futsal players during different types of jumps. We will consider two types of jumps: jumps with flywheel and jumps without flywheel. This study has two main aims. The first aim is to compare the knee joint forces in football players and futsal players during different types of jumps. The second aim is to determine the distribution of deformation and stress in menisci of the knee joints in football and futsal players. Professional futsal players performed jumps that were analyzed using a force plate and high-speed video camera system. For this purpose, a 3D model of the human knee joint was developed from medical scans. The 3D model of the human knee joint consisted of femur, fibula, tibia, articular cartilage, ligaments and menisci. Loads and material characteristics were adopted from the literature. The use of finite elements analysis enabled us to gain better understanding of the distribution of deformation and stress in specific parts of the knee joint, with the special focus on the menisci.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127484207","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