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2017 21st National Biomedical Engineering Meeting (BIYOMUT)最新文献

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Molecular Modelling in Biosensor Desgin for Cholera Toxin Detection 霍乱毒素检测生物传感器设计中的分子建模
2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8479014
S. Çınaroğlu, I. Anac, F. N. Kok, Tugba Arzu Ozal Ildeniz
{"title":"Molecular Modelling in Biosensor Desgin for Cholera Toxin Detection","authors":"S. Çınaroğlu, I. Anac, F. N. Kok, Tugba Arzu Ozal Ildeniz","doi":"10.1109/BIYOMUT.2017.8479014","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479014","url":null,"abstract":"In undevelped countries waterborn epidemics are significantly threatening for health. Cholera is one of the main such diseases. For the initiation of preventive health care services, studies for designing biosensors that detects the cholera toxin which is the cause of this disease is necessary. Besides the experiments performed during the design which uses SPR and SPFS technology, usage of computational biology takes an important place. Investigation of the binding mechanisms taking place in the biosensor is possible at the atomistic scales by molecular modelling techniques and this going to be a preliminary work for the similar biosensor designs. In this research, ligands enable the detection by ensuring the specific binding of cholera toxin B (Ch B) were determined by the computation of binding energies and binding positions and interactions were investigated.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130795729","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
Motor imagery upper limb training shows similar activation and localization for the non-dominant and dominant sides 上肢运动意象训练显示非优势侧和优势侧的激活和定位相似
2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 2017-11-01 DOI: 10.1109/BIYOMUT.2017.8479241
Seda Keskin, J. Mencel, Lukasz Kaminski, J. Marusiak, A. Jaskólska, Sławomir Chomiak, L. Szumowski, Bartosz Kamiński, M. Bayram, K. Kisiel-Sajewicz
{"title":"Motor imagery upper limb training shows similar activation and localization for the non-dominant and dominant sides","authors":"Seda Keskin, J. Mencel, Lukasz Kaminski, J. Marusiak, A. Jaskólska, Sławomir Chomiak, L. Szumowski, Bartosz Kamiński, M. Bayram, K. Kisiel-Sajewicz","doi":"10.1109/BIYOMUT.2017.8479241","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479241","url":null,"abstract":"Motor imagery (MI) is the mental practice of an action without any physical movement or without any muscle activation. It has been shown that imagination leads to the activation of the brain areas as motor learning. This preliminary study tested a hypothesis whether motor planning and execution change by different brain regions and a reaching-and-grasping MI task for both dominant and nondominant side upper limbs. Results show that for both sides, brain regions’ activations change similarly, before and after movement on-site with statistically significant differences occur throughout the motor strip (left and right) and around the visual cortex. This suggests that for people who have not MI trained before, brain activation is similar regardless of the dominant side of the limb.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126292812","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
Design of a Novel PAMAM-Based Nanomedicine with Sustained NAC Release for Treatment of Neuroinflammation 一种新型基于pamam的纳米药物的设计，可持续释放NAC用于治疗神经炎症
2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 1900-01-01 DOI: 10.1109/BIYOMUT.2017.8479287
Ozgul Gok, S. Kambhampati, Elizabeth Smith, S. Kannan, R. Kannan
{"title":"Design of a Novel PAMAM-Based Nanomedicine with Sustained NAC Release for Treatment of Neuroinflammation","authors":"Ozgul Gok, S. Kambhampati, Elizabeth Smith, S. Kannan, R. Kannan","doi":"10.1109/BIYOMUT.2017.8479287","DOIUrl":"https://doi.org/10.1109/BIYOMUT.2017.8479287","url":null,"abstract":"PAMAM dendrimers have recently been utilized as promising biomaterials for intrinsically targeting the brain in CNSrelated disorders with no effective therapies, such as cerebral palsy (CP) and ischemia. Previous studies have established their ability to penetrate the blood-brain barrier (BBB) and diffuse freely within the brain parenchyma, which are the primary challenges. In addition, PAMAM dendrimers have been shown to selectively localize to activated microglia and astrocytes in regions of neuroinflammation, allowing for efficient delivery of potent therapeutics to sites of injury. In this study, a novel PAMAM-based drug delivery system for the anti-inflammatory small molecule N-acetyl cysteine (NAC) as a brain targeting nano-vehicle with a sustained and slow drug release profile is presented. This design enables NAC molecules conjugated to the periphery of PAMAM dendrimers with ester and disulfide linkers to release in a step-wise manner by responding to different enviromental conditions. Moreover, cellular internalization studies were conducted with a fluorescently labelled version of the conjugate to confirm nontoxicity and time-dependent cellular uptake by activated microglia. Sustained release of NAC molecules results in improved anti-inflammatory and anti-oxidative efficacies, demonstrating that D-(NAC-NAC) is a very promising drug loaded nanoparticle for prolonged treatment of CNS-related disorders.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125628194","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
Classification of lung sounds with convolutional neural network 基于卷积神经网络的肺音分类
2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 1900-01-01 DOI: 10.1109/biyomut.2017.8479008
Funda Cinyol, H. Mutlu, U. Baysal
{"title":"Classification of lung sounds with convolutional neural network","authors":"Funda Cinyol, H. Mutlu, U. Baysal","doi":"10.1109/biyomut.2017.8479008","DOIUrl":"https://doi.org/10.1109/biyomut.2017.8479008","url":null,"abstract":"In this work, respiratory sounds are classified as normal and pathological sounds using convolutional neural network (CNN) and effect of the depth (number of layers) of CNN on classification performance is investigated. Respiratory sound records which were obtained from various sources are down sampled to a common sampling frequency and normalized to ensure that all the data lies in the same data space. Training and test data is chosen randomly from the set of normal and pathological sounds. Architecture of the CNN has 1, 2, and 3 convolution layers for 3 different experiments and each model has one fully connected layer after convolution layers. Classification is completed with logistic regression which is the last step of the architecture. When the results of the experiments are evaluated, it is understood that convolutional neural networks for classification of respiratory sounds is an active research area.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116269601","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 Microcontroller-Based Wireless Multichannel Neural Data Transmission System 基于微控制器的无线多通道神经数据传输系统
2017 21st National Biomedical Engineering Meeting (BIYOMUT) Pub Date : 1900-01-01 DOI: 10.1109/biyomut.2017.8479160
M. Mukati, Samet Kocatürk, Mehmet Kocatürk
{"title":"A Microcontroller-Based Wireless Multichannel Neural Data Transmission System","authors":"M. Mukati, Samet Kocatürk, Mehmet Kocatürk","doi":"10.1109/biyomut.2017.8479160","DOIUrl":"https://doi.org/10.1109/biyomut.2017.8479160","url":null,"abstract":"Chronically implantable microelectrode arrays enable multichannel electrophysiological recordings from the mammalian brains during behavioral experiments. Wireless data transmission systems combined with the microelectrode arrays and electrophysiology hardware allow the subjects to freely move during the neural recording sessions. In the present study, a microcontroller unit (MCU)-based wireless neural data transmission system is developed to collect data from behaving rats. The system achieves a data throughput up to 6.4 Mbps and enables recordings from 16 channel microelectrode arrays with a sampling rate of 25 KHz per channel. The present system offers a cost-effective and compact solution to perform multichannel in vivo electrophysiological recordings from behaving rats.","PeriodicalId":330319,"journal":{"name":"2017 21st National Biomedical Engineering Meeting (BIYOMUT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124010454","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
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