2016 IEEE EMBS International Student Conference (ISC)最新文献

Evaluation of a T1 mapping technique for stratifying patient risk: A preliminary study using computer simulations of cardiac electrophysiology 评估T1定位技术对患者风险分层:使用计算机模拟心脏电生理的初步研究

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508611

G. Hanna, N. Trayanova, G. Wright, E. Ukwatta

{"title":"Evaluation of a T1 mapping technique for stratifying patient risk: A preliminary study using computer simulations of cardiac electrophysiology","authors":"G. Hanna, N. Trayanova, G. Wright, E. Ukwatta","doi":"10.1109/EMBSISC.2016.7508611","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508611","url":null,"abstract":"Heterogeneous scarred tissue, or infarct, stemming from coronary artery occlusion has been linked to ventricular tachycardia (VT). Myocardial infarct (MI)-based indices derived from contrast enhanced (CE) magnetic resonance have been increasingly investigated to complement the standard risk stratification strategy of patients for implantable cardioverter defibrillator (ICD) therapy. Compared to conventional CE-MRI, measurements derived using Multi-Contrast Late Enhancement (MCLE), a novel T1 mapping technique, have been shown to be more sensitive in predicting appropriate ICD therapy for patients post-MI The objective of this study is to evaluate MCLE for stratifying patient risk using computer simulations of cardiac electrophysiology. A cohort of 25 patients with ischemic cardiomyopathy were imaged using both techniques prior to ICD implantation and were followed up for 6-46 months. Acquired images from both techniques were semi-automatically segmented to create computational models of the heart. These models were then virtually stimulated. The study concluded that MCLE is slightly more reproducible than the conventional CE-MRI. and preliminary results indicated that MCLE showed higher sensitivity and specificity than its counterpart in predicting appropriate ICD therapy.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116511574","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

Modal analysis of a parameterized model of pathological vocal fold vibration 病理性声带振动参数化模型的模态分析

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508609

Raymond Greiss, Joana Rocha, E. Matida

引用次数: 1

An interoperable common storage system for shared dialysis clinical data 用于共享透析临床数据的可互操作的公共存储系统

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508626

D. Vito, G. Casagrande, C. Bianchi, M. Costantino

引用次数: 4

A new clustering method using wavelet based probability density functions for identifying patterns in time-series data 基于小波的概率密度函数聚类方法在时间序列数据中识别模式

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508616

Mojtaba Kordestani, A. Alkhateeb, Iman Rezaeian, L. Rueda, M. Saif

{"title":"A new clustering method using wavelet based probability density functions for identifying patterns in time-series data","authors":"Mojtaba Kordestani, A. Alkhateeb, Iman Rezaeian, L. Rueda, M. Saif","doi":"10.1109/EMBSISC.2016.7508616","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508616","url":null,"abstract":"Clustering is a prominent method to identify similar patterns in large groups of data and can be beneficial in the bioinformatics studies due to this property. Classical methods such as k-means and maximum likelihood consider a mixture of Gaussian probability density function (PDF) of data and find clusters based on maximizing the PDF. However, correlation among different groups of data and existence of noise on the data make it difficult to correctly detect the correct number of clusters. Furthermore, the assumption of the Gaussian distance for the PDF is not necessarily true in real applications. This paper presents a new clustering method via wavelet-based probability density functions. For this purpose, first, a mixture of PDFs is estimated by the wavelet for each feature. After this, a multilevel thresholding method is implemented on the mixture of PDFs of each feature to obtain the clusters. Finally, a forward feature selection with memory is used to cluster the dataset based on combinations of the features. The profile alignment and agglomerative clustering (PAAC) index is applied for evaluating the number of clusters and features. Transcript expression throughout the various stages of prostate cancer is considered as a case study to identify patterns. The experimental results show the ability of the proposed method in detecting patterns of similar transcripts throughout disease progression. The results are promising in comparison with the other methods.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134217112","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: 8

Rotor pivot point identification with intrinsic mode function complexity index using empirical mode decomposition 基于经验模态分解的固有模态函数复杂度指数转子枢轴点识别

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508597

S. P. Arunachalam, S. Mulpuru, P. Friedman, E. Tolkacheva

{"title":"Rotor pivot point identification with intrinsic mode function complexity index using empirical mode decomposition","authors":"S. P. Arunachalam, S. Mulpuru, P. Friedman, E. Tolkacheva","doi":"10.1109/EMBSISC.2016.7508597","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508597","url":null,"abstract":"Atrial Fibrillation (AF), a most common cardiac arrhythmia affects more than 2.3 million people in the US and associated with increased risk of stroke, heart failure and death. Cather ablation to treat paroxysmal AF patients is somewhat successful with challenges remaining to accurately identify the active sites for persistent AF patients which may occur outside the pulmonary vein (PV) region due to inadequate cardiac mapping systems. In this work, the authors propose an Empirical Mode Decomposition (EMD) approach using multi-scale entropy estimates of the intrinsic mode functions as a complexity measure to accurately identify pivot point of the rotor that were induced in ex-vivo isolated rabbit heart with Ventricular Tachycardia (VT). The new approach using EMD demonstrated successful identification of the rotor core region providing better contrast relative to the periphery region. Validation of the EMD approach using intra-atrial electrograms from paroxysmal and persistent AF patients with rotors is required to accurately identify the rotor pivot point to guide AF ablation.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123062348","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: 3

Predicting novel protein-protein interactions between the HIV-1 virus and homo sapiens 预测HIV-1病毒和智人之间新的蛋白质-蛋白质相互作用

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508598

Bradley Barnes, Maryam Karimloo, Andrew Schoenrock, Daniel J. Burnside, E. Cassol, A. Wong, F. Dehne, A. Golshani, J. Green

引用次数: 6

Validation of the Empatica E4 wristband Empatica E4腕带的验证

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508621

Cameron R. McCarthy, Nikhilesh Pradhan, C. Redpath, A. Adler

引用次数: 148

Analysis of vertical ground reaction force waveforms of trans-tibial prosthesis users 胫骨假体使用者垂直地面反作用力波形分析

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508628

S. R. Zhao, Tim Bryant, Qingguo Li

{"title":"Analysis of vertical ground reaction force waveforms of trans-tibial prosthesis users","authors":"S. R. Zhao, Tim Bryant, Qingguo Li","doi":"10.1109/EMBSISC.2016.7508628","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508628","url":null,"abstract":"The development of prosthetic foot components often incorporates mechanical characterization methods that simulate the loading conditions expected in activities of daily living. However, it is recognized that these conditions vary among users and the effect of user variability on mechanical testing results is not currently understood. The objective of this study was to statistically characterize the vertical ground reaction force (vGRF) waveform of prosthesis users to describe its variability in a population by: (1) Applying Principal Component Analysis (PCA) to measured waveforms in a cohort of trans-tibial subjects, and (2) Simulate an expected sample of waveforms for this population using a Monte Carlo method. Phase 1: Three prosthesis users walked on a level walkway at self-selected walking speeds under four prosthetic foot conditions. PCA performed on the vGRF waveforms for affected-limb footsteps resulted in three principal components (PCs) accounting for 91.5% of data variability. Results showed low variability for the same subject using similar designs of prosthetic feet and distinct differences when using a familiar device. Phase 2: Monte Carlo simulation was used to predict a family of 30 vGRF waveforms representative of the sample population. Variability was highest in regions of weight acceptance, mid-stance, and push-off, while lower variability was observed in the transition regions prior to, between, and after these regions. Conclusion: The study supports the use of PCA to describe variability in vGRF waveforms of trans-tibial prosthesis users. The analysis is suitable for Monte Carlo simulation, which showed vGRF waveforms with distinct regions of high and low variability.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115944798","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

Machine learning model for temporal pattern recognition 时间模式识别的机器学习模型

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508614

Catherine Inibhunu, C. McGregor

引用次数: 2

Comparison of sequence- and structure-based protein-protein interaction sites 基于序列和结构的蛋白质-蛋白质相互作用位点的比较

2016 IEEE EMBS International Student Conference (ISC) Pub Date : 2016-05-29 DOI: 10.1109/EMBSISC.2016.7508605

K. Dick, J. Green

{"title":"Comparison of sequence- and structure-based protein-protein interaction sites","authors":"K. Dick, J. Green","doi":"10.1109/EMBSISC.2016.7508605","DOIUrl":"https://doi.org/10.1109/EMBSISC.2016.7508605","url":null,"abstract":"Computational protein-protein interaction (PPI) prediction is a diverse field with multiple paradigms generating insightful interaction interface information. The shortcomings of one approach are often the strength of another and establishing the agreement between methodologies is valuable for the development of novel PPI prediction techniques. This study represents the first large-scale comparison of PPI sites determined through a sequence-based method (PIPE-Sites) and a structure-based method (PiSITEs). A set of interactions (n = 3,109) amenable to analysis by both methods was examined. Interestingly, the distributions of the sizes of the predicted interaction sites have similar means and identical median values. Using the Sorensen-Dice similarity coefficient and independent randomization testing, we determined the degree of agreement of the predicted sites of interaction for both methods to be statistically significant (p <; 0.001). Finally, applying the hypergeometric test and Q-Analysis, we identified 491 interactions with significantly heightened agreement (p <; 0.002). These interactions represent a broad range of biological function including transcriptional regulation, cell proliferation, cytoskeletal dynamics, and apoptosis. These findings corroborate the joint application of these paradigms for future PPI prediction studies.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115340845","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: 4