2020 Medical Technologies Congress (TIPTEKNO)最新文献_第8页

Investigation of Cold Atmospheric Plasma Activity in PCL/ZnO Tissue Scaffolding To Be Used in Wound Tissues 用于伤口组织的PCL/ZnO组织支架冷常压等离子体活性研究

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299287

Hande UĞraŞ, G. Özdemir, Utku Kürşat Ercan

{"title":"Investigation of Cold Atmospheric Plasma Activity in PCL/ZnO Tissue Scaffolding To Be Used in Wound Tissues","authors":"Hande UĞraŞ, G. Özdemir, Utku Kürşat Ercan","doi":"10.1109/TIPTEKNO50054.2020.9299287","DOIUrl":"https://doi.org/10.1109/TIPTEKNO50054.2020.9299287","url":null,"abstract":"Wounds can be vital dangerous for a patient’s life, so wound healing is one of the essential topics. Tissue engineers have investigated tissue scaffolds for wound healing. Scaffolding materials can be natural or synthetic, and the researchers use polycaprolactone (PCL) and zinc oxide (ZnO) nanoparticles to improve wound healing and minimize the infection risk. Cold atmospheric plasma (CAP) is a new area. CAP is used in many areas such as cancer treatment; besides, it is the more crucial properties to avoid the bacteria formation and provide healing the many different types of wound tissues. In this sense, plasma is of great importance in protecting life in all kinds of materials that will be placed inside the living thing. In this study, PCL were used in different amounts of ZnO-NPs; 5%, 10%, and 15% of total weight. Then, scaffolds were obtained using the electrospinning technique. CAP applied on the obtained scaffolds in different exposure times; 15 sec., 25sec., and 35sec. After CAP treatment; contact angle measurement and antibacterial test were made. Test results show that, depending on the CAP exposure time, the contact angle decreases, but the antibacterial effect increases.","PeriodicalId":426945,"journal":{"name":"2020 Medical Technologies Congress (TIPTEKNO)","volume":"04 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130062104","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

C# Interface Design for Real-Time Signal Recording Oriented of Bionic Hand Control with Leap Motion and EMG Devices 面向跳跃运动与肌电装置仿生手控实时信号记录的c#接口设计

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299309

A. Kavsaoğlu, ve Burak Bi̇lece, Besimcan Altiyaprak, ve Furkan Böyükçolak

引用次数: 0

Spectroscopic and Computational Molecular Docking studies on the protein-drug interactions 蛋白质-药物相互作用的光谱和计算分子对接研究

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299322

Iraz Çinar, İrem Aksoy, Günnur Güler

{"title":"Spectroscopic and Computational Molecular Docking studies on the protein-drug interactions","authors":"Iraz Çinar, İrem Aksoy, Günnur Güler","doi":"10.1109/TIPTEKNO50054.2020.9299322","DOIUrl":"https://doi.org/10.1109/TIPTEKNO50054.2020.9299322","url":null,"abstract":"Investigation of the protein-drug active substance interactions has great importance in the fields of medicine, chemistry, pharmaceutical, biomedical and toxicology. In this study, binding properties of a potential anti-cancer drug agent ifosfamide with bovine serum albumin (BSA), one of the main ligand transporters in blood plasma, was analyzed by using ultraviolet and visible light (UV-Vis) spectroscopy along with molecular docking studies. The UV-Vis spectra of the constant BSA solution (20x $10^{-6}$ M) in complexes with various concentrations of ifosfamide (20x $10^{-6}$ M to 140x $10^{-6}$ M) were obtained at physiological pH. Besides, the BSA protein was docked with ifosfamide drug active substance via computational molecular docking method. Amino acids in the binding sites of the BSA protein and the binding distances of these amino acids to the ligand (ifosfamide), their scores and RMSD values were determined, revealing that the interaction is a spontaneous process. Both molecular docking and the spectral results demonstrated that the anti-cancer drug agent binds to BSA via non-covalent interactions, resulting in minute conformational changes in BSA.","PeriodicalId":426945,"journal":{"name":"2020 Medical Technologies Congress (TIPTEKNO)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127097538","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

Diagnosis of COVID-19 with a Deep Learning Approach on Chest CT Slices 基于胸部CT片深度学习的COVID-19诊断

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299266

Fatma Muberra Yener, A. B. Oktay

引用次数: 6

Noninvasive Measurement of Baby’s Vital Datas and Mobile Monitoring - Analysis System Design 婴儿生命数据的无创测量与移动监测分析系统设计

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299297

Nadide Gülşah Gülenç, M. Kartal

引用次数: 0

Prolongation of Longitudinal Relaxometry Characteristics in Healthy Aging: a Whole Brain MRI Study 健康老年人纵向弛豫测量特征的延长:全脑MRI研究

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299314

Hayriye Aktaş Dinçer, D. Gökçay

引用次数: 0

3D Femoral Head Detection in MRI Data Sequences with the Integro-differential Operator 利用积分-微分算子在MRI数据序列中进行三维股骨头检测

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299254

Abbas Memiş, Songül Varlı, F. Bilgili

引用次数: 1

Determination of Hypertension Disease with Optimal Frequency Range of Short-Time Photopletismography Signals 短时光波成像信号最佳频率范围测定高血压病

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299292

T. Aydemir, ve Mehmet Şahi̇n, Önder Aydemir

{"title":"Determination of Hypertension Disease with Optimal Frequency Range of Short-Time Photopletismography Signals","authors":"T. Aydemir, ve Mehmet Şahi̇n, Önder Aydemir","doi":"10.1109/TIPTEKNO50054.2020.9299292","DOIUrl":"https://doi.org/10.1109/TIPTEKNO50054.2020.9299292","url":null,"abstract":"Hypertension is the condition where the normal blood pressure is high. This situation is manifested by the high pressure of the blood in the vein towards the vessel wall. Hypertension mostly affects the brain, kidneys, eyes, arteries and heart. Therefore, the diagnosis of this common disease is important. It may take days, weeks or even months for diagnosis. Often a device called a blood pressure holter is connected to the person for 24 or 48 hours and the person’s blood pressure is recorded at certain intervals. Diagnosis can be made by the specialist physician considering these results. In recent years, various physiological measurement techniques have been used to accelerate this time-consuming diagnostic phase and propose intelligent models. One of these techniques is photopletesmography (PPG). In this study, a model for the detection of hypertension disease in individuals using the optimal frequency ranges of 2.1 second short-time PPG signals was proposed. The proposed model was tested with PPG data of 219 people and the disease was determined with classification accuracy of 76.15%. The results showed that the diagnosis of hypertension based on machine learning can be performed effectively by using frequency ranges of 1.4-5.7 Hz of short time PPG signals.","PeriodicalId":426945,"journal":{"name":"2020 Medical Technologies Congress (TIPTEKNO)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128321261","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

Photobiomodulation with 655-nm Laser Light to Induce the Differentiation of PC12 Cells 655 nm激光光生物调节诱导PC12细胞分化

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299218

Emel Bakay, N. Topaloglu

{"title":"Photobiomodulation with 655-nm Laser Light to Induce the Differentiation of PC12 Cells","authors":"Emel Bakay, N. Topaloglu","doi":"10.1109/TIPTEKNO50054.2020.9299218","DOIUrl":"https://doi.org/10.1109/TIPTEKNO50054.2020.9299218","url":null,"abstract":"The healing effect of light at low power and energy density can be used as a treatment or alternative supportive method in various diseases. The photobiostimulation effect created on neural cells is also a very promising approach in the treatment of important neurodegenerative diseases such as Alzheimer’s disease. In this study, the response of PC12 cells to photobiomodulation was investigated as a result of the low level laser therapy with 655 nm diode laser after triple treatment. The red light at an energy density of 1, 3 and 5 J/cm2 was applied to PC12 cells three times with 24h intervals. The differentiation capacity of the cells and the elongation rates of neurites were assessed. The neurite lengths were calculated by analyzing the microscopic images of the cells. Neurite-forming capacity and differentiation rate of PC12 cells was at the maximum level after the application with 1 J/cm2 energy, nearly 2 times of the control group. 5 J/cm2 of energy density strongly inhibited the cell proliferation and the elongation of the neurites. The cell viability percentages of the cells showed that 5 J/cm2 energy density inhibited cell viability with a rate of nearly 30%. The outcomes of this study emphasized that the adjustment of light parameters in photobiomodulation applications may result in biostimulation or bioinhibition depending on the intensity and the irradiance levels applied on the cells.","PeriodicalId":426945,"journal":{"name":"2020 Medical Technologies Congress (TIPTEKNO)","volume":"36 173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125923063","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 Deep Convolutional Neural Network Model for COVID-19 Disease Detection 基于深度卷积神经网络的新型COVID-19疾病检测模型

2020 Medical Technologies Congress (TIPTEKNO) Pub Date : 2020-11-19 DOI: 10.1109/TIPTEKNO50054.2020.9299286

Emrah Irmak

{"title":"A Novel Deep Convolutional Neural Network Model for COVID-19 Disease Detection","authors":"Emrah Irmak","doi":"10.1109/TIPTEKNO50054.2020.9299286","DOIUrl":"https://doi.org/10.1109/TIPTEKNO50054.2020.9299286","url":null,"abstract":"The novel coronavirus, generally known as COVID19, is a new type of coronavirus which first appeared in Wuhan Province of China in December 2019. The biggest impact of this new coronavirus is its very high contagious feature which brings the life to a halt. As soon as data about the nature of this dangerous virus are collected, the research on the diagnosis of COVID-19 has started to gain a lot of momentum. Today, the gold standard for COVID-19 disease diagnosis is typically based on swabs from the nose and throat, which is time-consuming and prone to manual errors. The sensitivity of these tests are not high enough for early detection. These disadvantages show how essential it is to perform a fully automated framework for COVID-19 disease diagnosis based on deep learning methods using widely available X-ray protocols. In this paper, a novel, powerful and robust Convolutional Neural Network (CNN) model is designed and proposed for the detection of COVID-19 disease using publicly available datasets. This model is used to decide whether a given chest X-ray image of a patient has COVID-19 or not with an accuracy of 99.20%. Experimental results on clinical datasets show the effectiveness of the proposed model. It is believed that study proposed in this research paper can be used in practice to help the physicians for diagnosing the COVID-19 disease.","PeriodicalId":426945,"journal":{"name":"2020 Medical Technologies Congress (TIPTEKNO)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122134890","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: 23