Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635409
H. Nieto-Chaupis
One of the first phases of cancer is known as angiogenesis by the which are created new blood vessels from the pre-existing one. In this paper, the well-known equation of Fokker-Planck is used to describe the time evolution of the new vessels since their creation until the time that them acquire certain stability. In particular, emphasis is done to the term of drift that encompasses the stochastic character of angiogenesis. Once the theory is proposed, computational simulations are carried out. For this, the Gaussian approach with a time-dependent width is employed. This yields a oscillating scenario of ions due to the repulsion and attraction forces at the events of permeability.
{"title":"Modeling Sprouting Angiogenesis by Drift Forces with the Usage of Fokker-Planck Equation","authors":"H. Nieto-Chaupis","doi":"10.1109/BIBE52308.2021.9635409","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635409","url":null,"abstract":"One of the first phases of cancer is known as angiogenesis by the which are created new blood vessels from the pre-existing one. In this paper, the well-known equation of Fokker-Planck is used to describe the time evolution of the new vessels since their creation until the time that them acquire certain stability. In particular, emphasis is done to the term of drift that encompasses the stochastic character of angiogenesis. Once the theory is proposed, computational simulations are carried out. For this, the Gaussian approach with a time-dependent width is employed. This yields a oscillating scenario of ions due to the repulsion and attraction forces at the events of permeability.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"25 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":"123611554","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}
Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635507
Marios Hadjiaros, K. Neokleous, Eirini C. Schiza, M. Matsangidou, M. Avraamides, C. Pattichis
This article presents a study on the validation of gamified versions of three established cognitive tasks, namely the Corsi task, the Visual Search task, and the Whack a Mole task. Short versions of these tasks were created using gamification techniques and tested on healthy adults. Results showed that these new gamified versions produce similar patterns of results with those obtained from the traditional versions. Concluding, game-based cognitive assessment for visuospatial tasks is promising, however, this needs to be further evaluated on larger scale studies as well as under different cognitive conditions.
{"title":"A Game-Based Cognitive Assessment for Visuospatial Tasks: Evaluation in Healthy Adults","authors":"Marios Hadjiaros, K. Neokleous, Eirini C. Schiza, M. Matsangidou, M. Avraamides, C. Pattichis","doi":"10.1109/BIBE52308.2021.9635507","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635507","url":null,"abstract":"This article presents a study on the validation of gamified versions of three established cognitive tasks, namely the Corsi task, the Visual Search task, and the Whack a Mole task. Short versions of these tasks were created using gamification techniques and tested on healthy adults. Results showed that these new gamified versions produce similar patterns of results with those obtained from the traditional versions. Concluding, game-based cognitive assessment for visuospatial tasks is promising, however, this needs to be further evaluated on larger scale studies as well as under different cognitive conditions.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"14 2 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":"124618091","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}
Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635554
R. Radakovic, Sara Mijailovic, Nataša Zdravković Petrović, Aleksandra Vulovic, N. Filipovic, N. Zdravković
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.
{"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}
Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635376
D. Nikolić, Dragan B. Sekulic, D. Milasinovic, D. Paunovic, Igor Sekulic, I. Šaveljić, N. Filipovic
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.
{"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}
Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635412
D. Šeklić, T. Djukić, M. Zivanovic, M. Jovanović, N. Filipovic
Colorectal cancer is one of the most common types of cancer and metastasis particular problem in anticancer treatment. Therefore, it is crucial to understand key steps in metastasis formation, such as loss of adherent junctions. $mathbf{E}$ -cadherin and $beta$ -catenin are proteins involved in cell-cell junctions in cancer cells. Present study aimed to explain changes in E-cadherin and $beta$ -catenin in two colorectal cancer cell lines after treatment with standard anticancer drug cisplatin, by using numerical modelling. The validity of the mathematical model was tested by experimental measurement of E-cadherin and $beta$ -catenin protein expression by immunofluorescent method. Our results shows that the numerical model of the Wnt pathway completely confirms experimental results for HCT-116 cells, while for SW-480 cells this model should be adjusted.
{"title":"Numerical modelling in assessment of different colorectal cancer cell lines behavior in treatment with cisplatin","authors":"D. Šeklić, T. Djukić, M. Zivanovic, M. Jovanović, N. Filipovic","doi":"10.1109/BIBE52308.2021.9635412","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635412","url":null,"abstract":"Colorectal cancer is one of the most common types of cancer and metastasis particular problem in anticancer treatment. Therefore, it is crucial to understand key steps in metastasis formation, such as loss of adherent junctions. $mathbf{E}$ -cadherin and $beta$ -catenin are proteins involved in cell-cell junctions in cancer cells. Present study aimed to explain changes in E-cadherin and $beta$ -catenin in two colorectal cancer cell lines after treatment with standard anticancer drug cisplatin, by using numerical modelling. The validity of the mathematical model was tested by experimental measurement of E-cadherin and $beta$ -catenin protein expression by immunofluorescent method. Our results shows that the numerical model of the Wnt pathway completely confirms experimental results for HCT-116 cells, while for SW-480 cells this model should be adjusted.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"34 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":"123941049","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}
Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635305
T. Šušteršič, Vesna Ranković, Vojin Kovacevic, Vladimir M. Milovanović, L. Rasulić, N. Filipovic
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.
{"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}
Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635181
André L. Jeller Selleti, C. Silla
We are currently experiencing a worldwide health problem known as the coronavirus pandemic, many researchers are looking to help in any way they can to deal with the pandemic and the problems caused by it. In the context of machine learning research, it is possible to develop methods to assist with the screening of patients using different types of exams and machine learning techniques. In this paper, we investigate the use of different features selection methods with different classifiers to the task of covid-19 (and other five pathologies and healthy lungs) identification in chest x-rays images. The analysis of the experimental results shows that the application of feature selection methods can improve the detection of coronavirus as well as other pathologies.
{"title":"An Analysis of Feature Selection Techniques For COVID-19 Detection on Chest X-Ray Data","authors":"André L. Jeller Selleti, C. Silla","doi":"10.1109/BIBE52308.2021.9635181","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635181","url":null,"abstract":"We are currently experiencing a worldwide health problem known as the coronavirus pandemic, many researchers are looking to help in any way they can to deal with the pandemic and the problems caused by it. In the context of machine learning research, it is possible to develop methods to assist with the screening of patients using different types of exams and machine learning techniques. In this paper, we investigate the use of different features selection methods with different classifiers to the task of covid-19 (and other five pathologies and healthy lungs) identification in chest x-rays images. The analysis of the experimental results shows that the application of feature selection methods can improve the detection of coronavirus as well as other pathologies.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"2020 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":"117295302","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}
Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635215
Chanaka Bulathsinghalage, Lu Liu
Current Hi-C analysis approaches focus on uniquely mapped reads and little research has been carried out to include multi-mapping reads, which leads to a lack of biological signals from DNA repetitive regions. We propose a heuristic strategy to assign multi-mapping reads to loci according to the distance to their closest restriction enzyme cutting sites. We demonstrate that the heuristic strategy can rescue multi-mapping reads thus enhance the quality of Hi-C data. Compared with mHi-C, it not only improves replicate reproducibility in the same cell type, but also maintains the difference between replicates of different cell types. Moreover, the strategy identifies much more common statistically significant chromatin interactions between Hi-C experiments of different restriction enzymes and has a huge advantage on computing resources. Therefore, the heuristic strategy can be used to enhance Hi-C data by utilizing multi-mapping reads.
{"title":"A Heuristic Strategy for Multi-Mapping Reads to Enhance Hi-C Data","authors":"Chanaka Bulathsinghalage, Lu Liu","doi":"10.1109/BIBE52308.2021.9635215","DOIUrl":"https://doi.org/10.1109/BIBE52308.2021.9635215","url":null,"abstract":"Current Hi-C analysis approaches focus on uniquely mapped reads and little research has been carried out to include multi-mapping reads, which leads to a lack of biological signals from DNA repetitive regions. We propose a heuristic strategy to assign multi-mapping reads to loci according to the distance to their closest restriction enzyme cutting sites. We demonstrate that the heuristic strategy can rescue multi-mapping reads thus enhance the quality of Hi-C data. Compared with mHi-C, it not only improves replicate reproducibility in the same cell type, but also maintains the difference between replicates of different cell types. Moreover, the strategy identifies much more common statistically significant chromatin interactions between Hi-C experiments of different restriction enzymes and has a huge advantage on computing resources. Therefore, the heuristic strategy can be used to enhance Hi-C data by utilizing multi-mapping reads.","PeriodicalId":343724,"journal":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"1 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":"129614457","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}
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.
{"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}
Pub Date : 2021-10-25DOI: 10.1109/BIBE52308.2021.9635362
R. Radakovic, Nikola Jankovic, Jelica Dimitrijević, Nataša Zdravković Petrović, Aleksandra Vulovic, N. Filipovic
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.
{"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}
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