2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)最新文献_第5页

Development of a Robust Mathematical Model to Estimate COVID-19 Cases in Lebanon Based on SEIRDV Modified Model 基于SEIRDV修正模型的黎巴嫩新冠肺炎病例稳健数学模型的建立

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604824

A. Fawaz, M. Owayjan, Roger Achkar

{"title":"Development of a Robust Mathematical Model to Estimate COVID-19 Cases in Lebanon Based on SEIRDV Modified Model","authors":"A. Fawaz, M. Owayjan, Roger Achkar","doi":"10.1109/ICABME53305.2021.9604824","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604824","url":null,"abstract":"COVID-19 pandemic triggered a global crisis, whether it comes to a huge global health emergency or to the global economic crisis situation. It is one of the greatest challenges this generation is facing. Computational simulations are playing a huge rule in the prediction of the current pandemic. Such simulations enable early predictions for future projections of the pandemic and are useful to estimate the efficiency of control action taken against this virus. The SEIR (Susceptible-Exposed-Infectious-Recovered) model is a commonly used model to compute the simulations of any infectious viral diseases and was widely used before to model and simulate SARS, EBOLA, Spanish Flu, etc. This paper presents a modified SEIR model with additional parameters taken into consideration such as the death, recovered and recovered with the chance of being infected again, vaccination and control efficiency; where the control represents the effectiveness of the lockdown. This factor is being controlled in order to extend the projections into controlled death, recovery, and infection. Specific information including time delay on the development of the pandemic due to control action measures, ageing factor of the population, and re-susceptibility with temporal immune response are also included in the model. After that, the model examines the outcome of the system after adding a controllable vaccine with taking into consideration the vaccination rate and vaccine’s efficacy. The numerical results are demonstrated to show the predictability range of this model.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132371960","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

MATLAB Modeling of Cardiovascular Response to Hypoxia with Control 控制下心血管缺氧反应的MATLAB建模

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604829

Kinana Rashwani, Omran Saad, Fatima Al Zahraa Zaarour, Mohamad HajjHassan, Mohamad Abou Ali, L. Hamawy, A. Kassem

{"title":"MATLAB Modeling of Cardiovascular Response to Hypoxia with Control","authors":"Kinana Rashwani, Omran Saad, Fatima Al Zahraa Zaarour, Mohamad HajjHassan, Mohamad Abou Ali, L. Hamawy, A. Kassem","doi":"10.1109/ICABME53305.2021.9604829","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604829","url":null,"abstract":"Ursino is one of the exceptional authors and researchers who described distinct regulatory mechanisms which control the haemodynamic variables during hypoxia. Obstacles we faced with Ursino are several incomplete implementations of mathematical models, which necessitate combining more than one of his researches. Combining partitions of such researches using different software (MATLAB/SIMULINK) other than what Ursino did use (SIMNON), grant the lead to more polished performance. SIMULINK software is much faster, easier to use, outputs more accurate and fine-tuned signals, with the ability to analyze any output at real-time simulation. Moreover, the implementation of Ursino’s work lacks controlling the overall system, which can be settled using Model Predictive Controller (MPC). This latter is a Multi-Input/Multi-Output (MIMO) controller that carries several outputs of the implemented model and referenced data, giving birth to numerous signals as stimuli for plant-parts of the system. Results show how MPC controller is ruling the thresholds of the sympathetic efferent activities to the heart and vessels, driving them to regulate arterial pressure of oxygen (PaO2) in blood to its initial normal range.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131540921","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

Foot Drop Inventory Management (FDIM) 脚踏库存管理(FDIM)

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604897

Walid Kamali, Bassel El Osta, Bassem Hmouda, M. Fawal

引用次数: 0

Artifact Removal of Eye Tracking Data for the Assessment of Cognitive Vigilance Levels 眼动追踪数据的伪影去除用于认知警觉性水平评估

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604870

Nadia Abu Farha, Fares Al-Shargie, U. Tariq, H. Al-Nashash

引用次数: 2

Lung Segmentation followed by Machine Learning & Deep Learning Techniques for COVID-19 Detection in lung CT Images 肺分割后的机器学习和深度学习技术在肺部CT图像中检测COVID-19

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604872

Hatem Tarhini, Rayan Mohamad, Abbas Rammal, M. Ayache

{"title":"Lung Segmentation followed by Machine Learning & Deep Learning Techniques for COVID-19 Detection in lung CT Images","authors":"Hatem Tarhini, Rayan Mohamad, Abbas Rammal, M. Ayache","doi":"10.1109/ICABME53305.2021.9604872","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604872","url":null,"abstract":"In the light of the rapidly growing COVID-19 pandemic, the need for an expeditious diagnosis of COVID-19 infection became essential. The immediate diagnosis will allow the initiation of the isolation process and adequate treatment as well. While the standard test used for the diagnosis of COVID-19 disease (RT-PCR) is usually time consuming (6 hours up to days in some centers); the need for a highly sensitive test became essential. Many studies have illustrated the utility of chest CT scan in the diagnoses of COVID-19. This paper evaluates the value of classical machine learning techniques and the convolutional neural networks in aiding physicians to further classify patients into either COVID-19 positive or negative according to their chest CT findings, and thus facilitating their work. To address this problem, this paper proposes classical neural networks using statistical features and deep CNN models to further classify a dataset of preprocessed chest CT images, using several classifiers and to evaluate the results. This latter showed that the best proposed method was a four layers CNN with SVM classifier with 99.6% accuracy. This demonstrates the potential of the proposed technique in computer-aided diagnosis for healthcare applications, especially for COVID-19 classification.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123458562","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

COALIA: a ground-truth for the evaluation of the EEG source connectivity COALIA:评估脑电源连通性的基本真理

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604833

S. Allouch, Mahmoud Hassan, M. Yochum, Joan Duprez, M. Khalil, F. Wendling, J. Modolo, A. Kabbara

{"title":"COALIA: a ground-truth for the evaluation of the EEG source connectivity","authors":"S. Allouch, Mahmoud Hassan, M. Yochum, Joan Duprez, M. Khalil, F. Wendling, J. Modolo, A. Kabbara","doi":"10.1109/ICABME53305.2021.9604833","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604833","url":null,"abstract":"In the past years, the emergent method called \"electroencephalography (EEG) source connectivity\" has gained increased interest due to its ability to identify large-scale brain networks with satisfactory spatio-temporal resolution. However, many related methodological questions remain unanswered and no consensus has been reached yet over a unified EEG source connectivity pipeline. The objective evaluation of the pipeline is challenged by the absence of a ground truth when dealing with real EEG data. In this paper, we show how a recently developed, large-scale, physiologically-grounded computational model, named COALIA, can provide such \"ground-truth\" models by generating cortical and scalp-level realistic simulations of brain activity. We investigated the effect of three factors involved in the \"EEG source connectivity\" pipeline: the number of EEG sensors, the solution of the inverse problem, and the functional connectivity measure, in the context of epileptiform activity. Results showed that increasing the number of electrodes (at least channels) leads to a higher accuracy of the reconstructed cortical networks, and that the weighted minimum norm estimate (wMNE) combined with the weighted phase lag index (wPLI) has the best performance at high electrode density. Although we believe that these results are context-specific, the model-based approach presented in this paper can be extended to address other methodological aspects of the EEG source connectivity pipeline in different contexts. We aim at presenting a proof-of-concept of the potential use of COALIA in the optimization the EEG source connectivity pipeline.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125940305","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 Novel ECG Waves Detection Followed by a New Compression Technique Based on Fourier Series Modeling for up to 26 Days Holter Monitor 一种基于傅立叶级数建模的新型心电波检测和新的压缩技术，可用于长达26天的动态心电图监测

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604902

Alaa Daher, Sally Yassin, M. Ayache

引用次数: 0

Automatic classification between COVID-19 pneumonia, lung cancer and normal lung tissues on chest CT Scans 胸部CT自动分类新冠肺炎、肺癌与正常肺组织

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604860

Yasser Saad, Ali Mustapha, Ali Cherry

引用次数: 3

Synergy Relationship Between The Scalene And The Rectus Abdominis During The Respiratory Cycle In Healthy Subjects 健康受试者呼吸周期中肩胛肌与腹直肌之间的协同关系

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-10-07 DOI: 10.1109/ICABME53305.2021.9604881

R. Tout, Alaa Daher

{"title":"Synergy Relationship Between The Scalene And The Rectus Abdominis During The Respiratory Cycle In Healthy Subjects","authors":"R. Tout, Alaa Daher","doi":"10.1109/ICABME53305.2021.9604881","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604881","url":null,"abstract":"This study aims to reveal the electromyography and spirometry relationship of the respiratory cycle, and to establish the chronology of the contraction between the Scalene and the Rectus abdominis. Purpose: Expose the electromyography and spirometry relationship and establish the chronology of the contraction of Scalene and Rectus abdominis which works together in synergy antagonism in physiological breathing.In our study 128 electromyographic tests were performed during the respiratory cycle on 43 healthy adults. EMG signals of Scalene, Rectus abdominis were recorded. The breathing was recorded by using a spirometer (vernier®).The obtained results showed that the duration of the contraction of Scalene is superior to Rectus abdominis 82% p-value=0.000058, the amplitude of Scalene is superior to Rectus abdominis, p-value=0.000000073. 109 tests of Scalene contraction begin before that of Rectus abdominis (63.74%), p-value=0.000012. RMS is 0.02 ± 0.011 μv for Rectus abdominis and 0.04 ± 0.021 μv for Scalene, p-value=6.76591E-06. The duration of inspiration is 1.25 s ± 0.19, the expiration is 1.04 s ± 0.19. The mean frequency of Rectus abdominis is 54.19 Hz ± 6.35, it is 57.21 Hz ± 7.08 for Scalene, the p-value is 9.84081E-08. The median frequency of Rectus abdominis is 51.05 Hz ± 6.51, it is 52.72 Hz ± 6.94 for Scalene, the p-value is 0.0098. The muscle fatigue of the Rectus abdominis decreased from 60.40 ± 0.45 to 19.98 ± 4.32. For Scalene it decreased from 60.41 ± 0.4 to 23.52 ± 4.41.As Conclusion, there is a synergistic-antagonism relationship between Scalene and Rectus abdominis during respiration. Scalene is a main inspiratory muscle, its contraction is important in amplitude, duration, and frequency. Both muscles are fatigable during the inspiratory cycle.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125817651","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

Forecast Analysis of the COVID-19 Incidence in Lebanon: Prediction of Future Epidemiological Trends to Plan More Effective Control Programs 黎巴嫩COVID-19发病率预测分析:预测未来流行病学趋势以制定更有效的控制方案

2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME) Pub Date : 2021-05-11 DOI: 10.1109/ICABME53305.2021.9604861

S. E. Falou, F. Trad

{"title":"Forecast Analysis of the COVID-19 Incidence in Lebanon: Prediction of Future Epidemiological Trends to Plan More Effective Control Programs","authors":"S. E. Falou, F. Trad","doi":"10.1109/ICABME53305.2021.9604861","DOIUrl":"https://doi.org/10.1109/ICABME53305.2021.9604861","url":null,"abstract":"Since the beginning of the COVID-19 epidemic, governments have been attempting to mitigate its impact on their citizens and countries, and the main way of doing this was through Non-Pharmaceutical Interventions (NPIs) that ranged from universal masking and social isolation to worldwide lockdowns. Given that the virus is still new, a government does not always know what to expect after applying a specific measure, but ideally, if countries knew beforehand the effect of their actions, they would always choose what works best for their citizens, and this is what we seek from our study. Our goal is to conceptualize a system that helps governments make the right decisions during a pandemic. For this purpose, we built a simulator to simulate the spread of COVID-19 in a virtual country – where we can apply different NPIs at different times – using an Agent-Based Model that runs on top of the Monte Carlo Algorithm. Our Simulator was first validated on concepts (e.g. Flattening the Curve and Second Wave scenario) to make sure it reflects realistic COVID-19 aspects. Then, it was used to simulate the case of Lebanon, and forecast the effect of opening schools and universities on the pandemic situation since the Lebanese Ministry of Education was planning to do so starting from 21 April 2021. Our validations prove that this prototype can be very beneficial for a country like Lebanon to carry a better decision making during the pandemic.","PeriodicalId":294393,"journal":{"name":"2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"436 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115936260","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: 5