Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics最新文献_第2页

Statistical Fractal Analysis of Cardiac Dynamic Behavior 心脏动力学行为的统计分形分析

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155088

Javier Rodríguez, D. Oliveros, S. Prieto, Catalina Correa, Laura Abrahem

{"title":"Statistical Fractal Analysis of Cardiac Dynamic Behavior","authors":"Javier Rodríguez, D. Oliveros, S. Prieto, Catalina Correa, Laura Abrahem","doi":"10.1145/3155077.3155088","DOIUrl":"https://doi.org/10.1145/3155077.3155088","url":null,"abstract":"The complexity of those systems that can be studied from frequency distributions can be characterized with the statistical fractal dimension. A methodology of diagnostic evaluation of the cardiac dynamics was developed from this dimension, allowing differentiating normal dynamics from those with acute dynamics. For this study, 30 holter and continuous electrocardiographic records clinically diagnosed with acute dynamic were analyzed, also 20 dynamics clinically diagnosed as normal were taken. For each dynamic the values of maximal and minimal values by hour of cardiac frequencies were taken; with these values, the statistical fractal dimension were calculated, for this, the values were organized in ranges of 15 beat/min, and the number of times each range was presented was founded. To this distribution of numbers, the Zipf-Mandelbrot law was applied for find the fractal dimension of each dynamic. Subsequently, the diagnosis evaluation methodology was applied, and the sensitivity, specificity and Kappa coefficient values were measured, finding values for the sensitivity and specificity of 100%, and a Kappa coefficient. Through of application of diagnosis evaluation methodology was possible differentiate normality of acute disease in the cardiac dynamic.","PeriodicalId":237079,"journal":{"name":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124165519","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

LightGBM: An Effective miRNA Classification Method in Breast Cancer Patients LightGBM:一种有效的乳腺癌患者miRNA分类方法

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155079

Dehua Wang, Yang Zhang, Yi Zhao

引用次数: 100

Analysis of Chronic Wound Images Using Factorization Based Segmentation and Machine Learning Methods 基于分解分割和机器学习方法的慢性伤口图像分析

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155092

Kavitha Illath, S. Suganthi, S. Ramakrishnan

引用次数: 5

Influence of Coating Time on Immobilization of Chlorhexidine on Polydopamine Grafted Stainless Steel 316L: Characterization, Adsorption and Cytotoxicity Analyses 包覆时间对氯己定在聚多巴胺接枝不锈钢316L上固定的影响:表征、吸附及细胞毒性分析

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155095

N. M. Daud, N. Malek, S. Saidin

{"title":"Influence of Coating Time on Immobilization of Chlorhexidine on Polydopamine Grafted Stainless Steel 316L: Characterization, Adsorption and Cytotoxicity Analyses","authors":"N. M. Daud, N. Malek, S. Saidin","doi":"10.1145/3155077.3155095","DOIUrl":"https://doi.org/10.1145/3155077.3155095","url":null,"abstract":"Chlorhexidine (CHX) has a broad antimicrobial range. The immobilization of CHX on a polydopamine (PDA) layer may acts as an antibacterial coating on medical grade stainless steel (SS316L). In this study, the immobilization of CHX on PDA grafted SS316L was performed at different immersion times (3, 6, 9, 12, 24 and 48 hours). The samples were subjected to ATR-FTIR and AFM analyses, adsorption test and cytotoxicity test. The immobilization of CHX at 24 hours produced a stable CHX coating on the PDA layer as evidenced by prominent indicator of CHX long hydrocarbon chain in the FTIR spectra. The CHX coating has higher surface roughness due to CHX aggregation and several protrusions on the grafted PDA layer. Longer immersion time in the CHX salt solution led to high diffusivity rate of solubilized CHX which cause higher absorptivity of CHX on the PDA grafted SS316L. While, the viability study indicated no significant cytotoxicity on osteoblast cells for all time points. The immobilization of CHX on the PDA layer at 24 hours contributed to a stable coating with acceptable cytotoxicity range which could be utilized in the development of an antibacterial coating on metallic implants.","PeriodicalId":237079,"journal":{"name":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125565567","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

Training a Convolutional Neural Network for Disparity Optimization in Stereo Matching 基于卷积神经网络的立体匹配视差优化训练

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155083

Guorui Song, Hong Zheng, Qingfeng Wang, Z. Su

引用次数: 2

Image-based Respiratory Signal Extraction Using Dimensionality Reduction for Phase Sorting in Cone-Beam CT Projections 锥形束CT投影中基于图像的降维相位分类呼吸信号提取

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155093

S. Dhou, A. Docef, Geoffrey D. Hugo

{"title":"Image-based Respiratory Signal Extraction Using Dimensionality Reduction for Phase Sorting in Cone-Beam CT Projections","authors":"S. Dhou, A. Docef, Geoffrey D. Hugo","doi":"10.1145/3155077.3155093","DOIUrl":"https://doi.org/10.1145/3155077.3155093","url":null,"abstract":"In this paper, a method that detects an image-based respiratory signal automatically in Cone Beam Computed Tomography (CBCT) projection datasets is proposed. The proposed Intensity Flow Dimensionality Reduction method (IFDR) uses optical flow tracking to estimate a set of dense intensity flow vectors from every adjacent pair of projections in the projection dataset. A dimensionality reduction method is applied to the intensity flow vectors to distil them into an eigensystem in which the first few principal components (up to 3 in this work) are combined to represent the motion patterns in the dataset. The algorithm was experimentally evaluated on clinical patient datasets. The extracted respiratory signal using IFDR was compared to respiratory signals measured using 1) the diaphragm position and 2) a trajectory of fiducial markers implanted in and near the tumor. IFDR-based respiratory signal showed an average phase shift of 3.8 ± 1.9 projections (0.35% of the projection set) comparing to the diaphragm position-based signal, and an average phase shift of 3.59 ± 2.44 projections (0.15% of the projection set) comparing to the internal markers-based signal. IFDR was able to extract the respiratory signal in all projections of all the patients' dataset without using any external devices, internal markers or requiring any structure such as the diaphragm to be visible in the CBCT projections. This respiratory signal extracted correlates to the tumor position since the motion was estimated from the soft tissues in and around the tumor.","PeriodicalId":237079,"journal":{"name":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132844544","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

The Isolation of Lignin from Coconut Fiber as Bioadsorbent of Cr(III) in Lake of University of Indonesia 从椰子纤维中分离木质素作为湖泊中Cr(III)的生物吸附剂

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155086

O. Atikah, Laily F. Pelawi, B. V. Wihelmina, Wahyu H. Ibrahim, F. A. Aribah

{"title":"The Isolation of Lignin from Coconut Fiber as Bioadsorbent of Cr(III) in Lake of University of Indonesia","authors":"O. Atikah, Laily F. Pelawi, B. V. Wihelmina, Wahyu H. Ibrahim, F. A. Aribah","doi":"10.1145/3155077.3155086","DOIUrl":"https://doi.org/10.1145/3155077.3155086","url":null,"abstract":"Environmental pollution caused by heavy metals becomes a world problem. Various methods have been developed, one of which is the method of adsorption. Adsorption of heavy metals can be done using lignin. Lignin has been successfully isolated from coconut fiber by dissolving it in an alkaline solvent, NaOH. Next, it is deposited in an acidic atmosphere. The precipitate is filtered and dried using an oven with a temperature of 60°C and then placed in a desiccator to remove water in lignin to obtain pure lignin. The isolation result was characterized by using FT-IR instrument and an adsorption test was conducted on chromium heavy metal. The adsorption test was performed on a mass variation of 0.2; 0.3; And 0.5 gram and contact time 60; 90; And 120 min and an increase of% adsorption per mass increase and contact time. The lignin permeability for Cr metal ions has the best effectiveness for contact time of 120 min and 0.5 gram of adsorbent mass with adsorption% of 76.2% and 57.87%, respectively. Optimum time and mass are used for testing of aquatic samples at Lake University of Indonesia to determine the capacity of absorption of lignin against Cr metal presents in the sample. The concentration of chromium ion before and after adsorbed by isolated lignin from cocopeat fiber are 117.00 ppm and 6.89 ppm, respectively. The isolated lignin adsorption capacity of Cr in the sample of Lake University of Indonesia is 94.11%.","PeriodicalId":237079,"journal":{"name":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131150116","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

Analysis of Pre- and Post- Fatigue Thermal Profiles of the Dominant Hand Using Infrared Imaging 优势手疲劳前后热谱的红外成像分析

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155084

A. Balaji, N. Makaram, Sriram Balasubramanian, S. Ramakrishnan

{"title":"Analysis of Pre- and Post- Fatigue Thermal Profiles of the Dominant Hand Using Infrared Imaging","authors":"A. Balaji, N. Makaram, Sriram Balasubramanian, S. Ramakrishnan","doi":"10.1145/3155077.3155084","DOIUrl":"https://doi.org/10.1145/3155077.3155084","url":null,"abstract":"Despite humans' extensive usage of the dominant hand, little has been done to monitor the hand's physical health in terms of development of Upper Extremity Musculoskeletal Disorders. Most of the muscles in the palmar region of the hand are intrinsic, and hence noninvasive EMG measurements give minimal information. In this study, an attempt is made to quantify the variations in thermal profile of the hand pre- and post- fatigue using infrared thermography. Subjects are tested using pinch grip based isometric contraction of the hand until fatigue. Baseline and post-fatigue thermal images are acquired using a Meditherm IRIS infrared camera. The process of image segmentation is carried out to delineate the dominant hand from the background. Features such as average temperature and kurtosis are extracted from the segmented images. Results show that there are wide variations in the intensities depicted by the thermal profile of each subject's hand. A decrease of 1.22% in median hand temperature of the palmar hand is observed. Similarly, a 1.17% reduction in temperature of the dorsal hand is detected post-fatigue. The kurtosis of the thermal profiles increases by 5.39% in the palmar hand and 6.63% in the dorsal hand post-fatigue. The statistical Student T-test performed on these features indicate that the decrease in average temperature is non-statistically significant (P>0.05); however, the increase in kurtosis is statistically significant (P<0.05). Infrared thermography appears to be a promising tool to measure the state of activation of muscle groups using thermal profiles.","PeriodicalId":237079,"journal":{"name":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416923","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

Scene Reconstruction from a Single Depth Image Using 3D CNN 使用3D CNN从单个深度图像重建场景

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155098

Alessandro Palla, D. Moloney, L. Fanucci

引用次数: 0

An Rn Surface to Describe Sport Performance in Women's Basketball Using Kohonen Nets on ECG Signals 利用心电信号的Kohonen网描述女子篮球运动表现的Rn曲面

Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics Pub Date : 2017-10-18 DOI: 10.1145/3155077.3155082

A. Bernal, Robin Alfonzo Blanco Cañon, Mauricio Plaza Torres

引用次数: 2