Biomedical Engineering and Computational Biology最新文献_第7页

Cardiac electrophysiological dynamics from the cellular level to the organ level. 心脏电生理动力学从细胞水平到器官水平。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2013-08-26 eCollection Date: 2013-01-01 DOI: 10.4137/BECB.S10960

Daisuke Sato, Colleen E Clancy

引用次数: 17

Automated Identification of Fiducial Points on 3D Torso Images. 三维躯干图像上基准点的自动识别。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2013-07-02 eCollection Date: 2013-01-01 DOI: 10.4137/BECB.S11800

Manas M Kawale, Gregory P Reece, Melissa A Crosby, Elisabeth K Beahm, Michelle C Fingeret, Mia K Markey, Fatima A Merchant

{"title":"Automated Identification of Fiducial Points on 3D Torso Images.","authors":"Manas M Kawale, Gregory P Reece, Melissa A Crosby, Elisabeth K Beahm, Michelle C Fingeret, Mia K Markey, Fatima A Merchant","doi":"10.4137/BECB.S11800","DOIUrl":"https://doi.org/10.4137/BECB.S11800","url":null,"abstract":"Breast reconstruction is an important part of the breast cancer treatment process for many women. Recently, 2D and 3D images have been used by plastic surgeons for evaluating surgical outcomes. Distances between different fiducial points are frequently used as quantitative measures for characterizing breast morphology. Fiducial points can be directly marked on subjects for direct anthropometry, or can be manually marked on images. This paper introduces novel algorithms to automate the identification of fiducial points in 3D images. Automating the process will make measurements of breast morphology more reliable, reducing the inter- and intra-observer bias. Algorithms to identify three fiducial points, the nipples, sternal notch, and umbilicus, are described. The algorithms used for localization of these fiducial points are formulated using a combination of surface curvature and 2D color information. Comparison of the 3D co-ordinates of automatically detected fiducial points and those identified manually, and geodesic distances between the fiducial points are used to validate algorithm performance. The algorithms reliably identified the location of all three of the fiducial points. We dedicate this article to our late colleague and friend, Dr. Elisabeth K. Beahm. Elisabeth was both a talented plastic surgeon and physician-scientist; we deeply miss her insight and her fellowship. ","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"5 ","pages":"57-68"},"PeriodicalIF":2.8,"publicationDate":"2013-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/BECB.S11800","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32725346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Neurotrauma and Repair Research: Traumatic Brain Injury (TBI) and its Treatments. 神经创伤与修复研究:创伤性脑损伤及其治疗。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2013-06-23 eCollection Date: 2013-01-01 DOI: 10.4137/BECB.S10968

Hanna Algattas, Jason H Huang

引用次数: 5

Sequencing and computational approaches to identification and characterization of microbial organisms. 测序和计算方法鉴定和表征微生物有机体。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2013-05-20 eCollection Date: 2013-01-01 DOI: 10.4137/BECB.S10886

Brijesh Singh Yadav, Venkateswarlu Ronda, Dinesh P Vashista, Bhaskar Sharma

引用次数: 7

An Empirical Muscle Intracellular Action Potential Model with Multiple Erlang Probability Density Functions based on a Modified Newton Method. 基于改进牛顿法的多Erlang概率密度肌肉细胞内动作电位经验模型。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2013-04-14 eCollection Date: 2013-01-01 DOI: 10.4137/BECB.S11646

Gyutae Kim, Mohammed M Ferdjallah, Frederic D McKenzie

引用次数: 2

Current status of endovascular devices to treat abdominal aortic aneurysms. 血管内装置治疗腹主动脉瘤的现状。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2013-04-10 eCollection Date: 2013-01-01 DOI: 10.4137/BECB.S10970

Kamell Eckroth-Bernard, Robert Garvin, Evan Ryer

引用次数: 24

Some perspectives on network modeling in therapeutic target prediction. 治疗目标预测中网络建模的一些观点。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2013-02-21 eCollection Date: 2013-01-01 DOI: 10.4137/BECB.S10793

Reka Albert, Bhaskar DasGupta, Nasim Mobasheri

引用次数: 0

Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates. 应用基于生物信息学的方法鉴定新的假定体内BACE1底物。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2013-02-03 eCollection Date: 2013-01-01 DOI: 10.4137/BECB.S8383

Joseph L Johnson, Emily Chambers, Keerthi Jayasundera

{"title":"Application of a Bioinformatics-Based Approach to Identify Novel Putative in vivo BACE1 Substrates.","authors":"Joseph L Johnson, Emily Chambers, Keerthi Jayasundera","doi":"10.4137/BECB.S8383","DOIUrl":"https://doi.org/10.4137/BECB.S8383","url":null,"abstract":"BACE1, a membrane-bound aspartyl protease that is implicated in Alzheimer's disease, is the first protease to cut the amyloid precursor protein resulting in the generation of amyloid-β and its aggregation to form senile plaques, a hallmark feature of the disease. Few other native BACE1 substrates have been identified despite its relatively loose substrate specificity. We report a bioinformatics approach identifying several putative BACE1 substrates. Using our algorithm, we successfully predicted the cleavage sites for 70% of known BACE1 substrates and further validated our algorithm output against substrates identified in a recent BACE1 proteomics study that also showed a 70% success rate. Having validated our approach with known substrates, we report putative cleavage recognition sequences within 962 proteins, which can be explored using in vivo methods. Approximately 900 of these proteins have not been identified or implicated as BACE1 substrates. Gene ontology cluster analysis of the putative substrates identified enrichment in proteins involved in immune system processes and in cell surface protein-protein interactions. ","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"5 ","pages":"1-15"},"PeriodicalIF":2.8,"publicationDate":"2013-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/BECB.S8383","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32725419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

A Comparative Approach to Hand Force Estimation using Artificial Neural Networks. 一种基于人工神经网络的手部力估计比较方法。

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2012-07-30 eCollection Date: 2012-01-01 DOI: 10.4137/BECB.S9335

Farid Mobasser, Keyvan Hashtrudi-Zaad

{"title":"A Comparative Approach to Hand Force Estimation using Artificial Neural Networks.","authors":"Farid Mobasser, Keyvan Hashtrudi-Zaad","doi":"10.4137/BECB.S9335","DOIUrl":"https://doi.org/10.4137/BECB.S9335","url":null,"abstract":"In many applications that include direct human involvement such as control of prosthetic arms, athletic training, and studying muscle physiology, hand force is needed for control, modeling and monitoring purposes. The use of inexpensive and easily portable active electromyography (EMG) electrodes and position sensors would be advantageous in these applications compared to the use of force sensors which are often very expensive and require bulky frames. Among non-model-based estimation methods, Multilayer Perceptron Artificial Neural Networks (MLPANN) has widely been used to estimate muscle force or joint torque from different anatomical features in humans or animals. This paper investigates the use of Radial Basis Function (RBF) ANN and MLPANN for force estimation and experimentally compares the performance of the two methodologies for the same human anatomy, ie, hand force estimation, under an ensemble of operational conditions. In this unified study, the EMG signal readings from upper-arm muscles involved in elbow joint movement and elbow angular position and velocity are utilized as inputs to the ANNs. In addition, the use of the elbow angular acceleration signal as an input for the ANNs is also investigated. ","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"4 ","pages":"1-15"},"PeriodicalIF":2.8,"publicationDate":"2012-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/BECB.S9335","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32725418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

Support Vector Machine Based Classification Model for Screening Plasmodium falciparum Proliferation Inhibitors and Non-Inhibitors 基于支持向量机的恶性疟原虫增殖抑制剂和非抑制剂筛选分类模型

IF 2.8

Biomedical Engineering and Computational Biology Pub Date : 2011-01-01 DOI: 10.4137/BECB.S7503

S. Subramaniam, Monica Mehrotra, D. Gupta

{"title":"Support Vector Machine Based Classification Model for Screening Plasmodium falciparum Proliferation Inhibitors and Non-Inhibitors","authors":"S. Subramaniam, Monica Mehrotra, D. Gupta","doi":"10.4137/BECB.S7503","DOIUrl":"https://doi.org/10.4137/BECB.S7503","url":null,"abstract":"There is an urgent need to develop novel anti-malarials in view of the increasing disease burden and growing resistance of the currently used drugs against the malarial parasites. Proliferation inhibitors targeting P. falciparum intraerythrocytic cycle are one of the important classes of compounds being explored for its potential to be novel antimalarials. Support Vector Machine (SVM) based model developed by us can facilitate rapid screening of large and diverse chemical libraries by reducing false hits and prioritising compounds before setting up expensive High Throughput Screening experiment. The SVM model, trained with molecular descriptors of proliferation inhibitors and non-inhibitors, displayed a satisfactory performance on cross validations and independent data set, with an average accuracy of 83% and AUC of 0.88. Intriguingly, the method displayed remarkable accuracy for the recently submitted P. falciparum whole cell screening datasets. The method also predicted several inhibitors in the National Cancer Institute diversity set, mostly similar to the known inhibitors.","PeriodicalId":42484,"journal":{"name":"Biomedical Engineering and Computational Biology","volume":"3 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/BECB.S7503","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70685915","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: 7