2016 International Conference on Systems in Medicine and Biology (ICSMB)最新文献_第2页

An algorithm for automatic segmentation of heart sound signal acquired using seismocardiography 一种基于地震心动图的心音信号自动分割算法

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915111

P. Jain, A. Tiwari

{"title":"An algorithm for automatic segmentation of heart sound signal acquired using seismocardiography","authors":"P. Jain, A. Tiwari","doi":"10.1109/ICSMB.2016.7915111","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915111","url":null,"abstract":"Automatic diagnosis of the heart valve diseases generally requires the segmentation of heart sound signal. Henceforth, in this paper a novel algorithm for automatic segmentation of the heart sound signal is proposed. The heart sound signal is acquired using seismocardiography (SCG), which uses a sensor called accelerometer. The accelerometer is of small size and low weight and thus convenient to wear. The proposed algorithm performs in three steps. First, the signal is filtered using the developed denoising algorithm based on discrete wavelet transform. The computational complexity of this algorithm is reduced by processing only two levels, which are expected to have heart sound signal, and other levels are discarded. To improve the performance of denoising, an adaptive threshold is obtained for both the levels separately, and applied. Then, the denoised signal is obtained by reconstructing the thresholded coefficients. In the second step, peaks are detected in the denoised signal using an adaptive threshold, obtained using Otsu's method. Then, false detected peaks and noise contaminated parts of the signal are identified and discarded from further analyses. In the third step, the heart sound components are identified as S1, and S2 based on the energy of the particular component and segmentation is performed. The results of denoising, show that the developed algorithm outperforms the existing method. Further, the segmentation results show that the developed algorithm is able to identify the heart sound components, accurately, even in the presence of noise.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"40 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":"117192853","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

Functional stratification of biomarkers selected from microarray data for understanding oral leukoplakia associated carcinogenesis 从微阵列数据中选择的生物标志物的功能分层，以了解口腔白斑相关的癌变

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915096

Satarupa Banerjee, J. Chatterjee

{"title":"Functional stratification of biomarkers selected from microarray data for understanding oral leukoplakia associated carcinogenesis","authors":"Satarupa Banerjee, J. Chatterjee","doi":"10.1109/ICSMB.2016.7915096","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915096","url":null,"abstract":"Oral carcinogenesis, a multistep phenomenon often precedes by oral pre-cancers like leukoplakia (OLK). Differentially expressed (DE) gene analysis of microarray data followed by functional classification provides an idea of alteration of biological functions associated with disease progression. In this context, microRNA (miRNA) microarray data analysis for functional classification is still a challenge, since most of the functions of miRNAs are yet to be discovered. The rationale of this study is to identify a subset of miRNA from microarray data, efficiency of which were evaluated using support vector machine for optimal supervised classification of OLK and OLK transformed oral squamous cell carcinoma (LK-OSCC). Another study was performed to identify subset of DE genes from gene expression database for OLK and LK-OSCC differentiation. This study further considered functional classification of target genes of DE miRNAs and DE genes and compared to understand OLK associated carcinogenesis mechanism, which is first of its kind. Result suggested that group of eight DE miRNAs, viz. miR-21, miR-142-3p, mir-223, miR-637, miR-142-5p, miR-1184 and miR-31* could classify OLK and LK-OSCC with 100% sensitivity and specificity. During comparative assessment of functionally classified target genes of DE miRNAs and mRNAs, it was observed that beside few common functional gene sets, the exclusive DE genes in miRNA target gene groups were TBC1 domain family and kinesin family while histone clusters, WD repeat domain genes, ribosomal proteins, transmembrane proteins and olfactory related proteins were significant in DE genes. Pathway analysis of the DE genes mainly showed to affect pathways especially for glutathione, drug and tyrosine metabolism as well as melanogenesis. The significant biological processes found to be affected by gene ontology analysis were mainly the response to lipid peroxide and altered secondary metabolite and melanin biosynthesis.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"1 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":"129699973","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 numerical study on bone adaptation around uncemented press-fit acetabular components 非骨水泥加压配合髋臼假体周围骨适应的数值研究

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915097

K. Mukherjee, Sanjay Gupta

引用次数: 0

Application of Electrooculography to estimate word count while reading text 电眼术在阅读文本时估计字数的应用

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915115

A. Banerjee, Arnab Rakshit, D. Tibarewala

引用次数: 8

Modeling demand patterns of Emergency Medical Services in Rajasthan 拉贾斯坦邦紧急医疗服务需求模式建模

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915094

S. K, R. Roy

引用次数: 3

Estimation of a-priori using photon measurement density function to improve the ill-posedness of diffuse optical tomography reconstruction 利用光子测量密度函数进行先验估计以改善漫射光学层析成像重建的病态性

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915090

R. Patra, P. Dutta

引用次数: 0

The effect of noise on complex permittivity reconstruction in mathematical breast model 噪声对数学乳房模型复介电常数重建的影响

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915077

Hardik N. Patel, Deepak K. Ghodgaonkar

引用次数: 0

Classification of breast mass in ultrasound images using CAD: A survey 超声图像中乳腺肿块的CAD分类综述

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915081

Radhika V. Menon, Poulami Raha, I. Chakrabarti

引用次数: 2

Comparative study of parameters of Multifractal Detrended Fluctuation Analysis on EEG bands 脑电波段多重分形去趋势波动分析参数的比较研究

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915116

Debdeep Sikdar, M. Chakraborty

引用次数: 1

Enhancement of medical device interoperability by defining custom extensions to DICOM standards: User-defined DICOM SR 通过定义DICOM标准的自定义扩展来增强医疗设备的互操作性:用户定义的DICOM SR

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915093

H. Lu, Mani Kapoor, Arul Patchi Prasath

{"title":"Enhancement of medical device interoperability by defining custom extensions to DICOM standards: User-defined DICOM SR","authors":"H. Lu, Mani Kapoor, Arul Patchi Prasath","doi":"10.1109/ICSMB.2016.7915093","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915093","url":null,"abstract":"Ultrasound as an imaging modality uses sound waves to scan soft tissues. Ultrasound systems provide users a way to quantify anatomical structures by providing well defined (standard) measurements. Systems also compute certain results; referred to as standard calculations, based on the measurements that user performs on the image. This quantified information is sent using DICOM (Digital Imaging and Communications in Medicine) Structured Report (SR) to PACS (Picture Archiving and Communication System). However, as clinical science is a continuously emerging field, the needs to quantify the anatomy using different measurements and different computations than what is defined in DICOM standards must be met by the Ultrasound systems. This requires Ultrasound systems to provide users a way to create user-defined measurements, calculations and authors(clinical scientists that define mathematical equations for measurements or calculations). This definition of custom data poses a problem from the standpoint of interoperability with devices such as PACS. The most common way to address this problem is to define a private DICOM SR template. But this can address the issue only for those configurations where the connected systems are from the same manufacturer. The purpose of this paper is to define a way to standardize the definition of user-defined objects such as user-defined measurements, calculations and authors by using the existing DICOM Structured Report templates. This ensures that user-defined objects can be interpreted by all PACS vendors with their existing software in the same way as they interpret the standard objects. The paper further discusses usage of a mapping tool that can be used on PACS to associate user-defined objects with the known objects on the PACS.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"5 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":"124898075","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: 2