2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)最新文献_第2页

Hairbrush for psoriasis scale removal 发刷用于牛皮癣鳞屑去除

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082286

R. Kumar, Eunice Esther Lovely, M. A. Kshirsagar, J. Jeeva

引用次数: 0

Embedding pressure sensor in a footwear for checking the weight distribution during standing 在鞋中嵌入压力传感器，用于检测站立时的重量分布

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082288

Nikita Ghosh, S. Guha, S. Nageswaran

引用次数: 1

Analysis of neuromuscular control in human arm 人臂神经肌肉控制分析

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082292

Jan Thomas, P. Vinupritha

引用次数: 0

Contrast enhanced brain tumor segmentation based on Shannon's entropy and active contour 基于Shannon熵和活动轮廓的对比增强脑肿瘤分割

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082278

C. Priyadharshini, V. Nithysri, G. Pavithra, N. M. Raja

引用次数: 3

FPGA based emotions recognition from speech signals 基于FPGA的语音信号情感识别

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082290

Rajasekhar Butta, M. Kamaraju, V. Sumalatha

引用次数: 4

Evaluation of symmetry plane using genetic algorithm 利用遗传算法评价对称平面

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082280

D. Chitradevi, S. Prabha

{"title":"Evaluation of symmetry plane using genetic algorithm","authors":"D. Chitradevi, S. Prabha","doi":"10.1109/ICBSII.2017.8082280","DOIUrl":"https://doi.org/10.1109/ICBSII.2017.8082280","url":null,"abstract":"Normal human brain is not perfectly symmetrical even it has a high degree of bilateral symmetry. Identification of plane of symmetry is a critical step in brain image analysis. Brain symmetry gives two hemispheres. This paper proposes a new method for evaluating best symmetry plane of brain images using Genetic Algorithm (GA) from Magnetic Resonance Images (MRI). MRI scan is the best modality for brain images, which helps to look for tumors and other diseases in the brain. Symmetry can be reflected in MR image representing axial/horizontal and coronal slices of the brain. Genetic algorithm is an optimization technique which helps to find the optimized solutions/feasible solutions. GA adopted to achieve better results, faster processing times and it is used in more applications. The GA optimization is performed using the selection, mutation and crossover. Major operations are preprocessing, random selection of coordinates and genetic algorithm. Morphological operators help to extract the region of interest from brain image and unwanted portions of MRI images are removed. This proposed method provides better symmetry value with an accuracy of 90%. This performance leads to good approximation of brain tumor segmentation.","PeriodicalId":122243,"journal":{"name":"2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129677168","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

A study to differentiate normal and hypertensive subjects based on dynamic thermogram features 基于动态热像图特征的正常人与高血压患者的鉴别研究

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082291

Jayashree Ramesh, Jayanthi Thiruvengadam

{"title":"A study to differentiate normal and hypertensive subjects based on dynamic thermogram features","authors":"Jayashree Ramesh, Jayanthi Thiruvengadam","doi":"10.1109/ICBSII.2017.8082291","DOIUrl":"https://doi.org/10.1109/ICBSII.2017.8082291","url":null,"abstract":"Hypertension also familiarized as high or raised blood pressure. It is a condition where the blood vessels have continuously raised pressure. It is a condition where the systolic pressure is 140 mm/Hg or above and the diastolic pressure is 90 mm/Hg or above. According to the statistics of Directorate General of Health Services, Ministry of Health and Family Welfare, Government of India, the overall prevalence of hypertension in India by 2020 willbe159.46/1000 population. This paper aims to study the potential of Dynamic thermogram in differentiating normal and hypertensive subjects. In this technique the dynamic Infra-red (IR) thermogram of selected body regions like hand (left and right) and neck (left and right) are obtained for about 60secs using IR thermal camera from 50 subjects (normal =3D 25 and age and sex matched hypertensive =3D 25). The average temperature for each and every millisecond in these selected body regions is measured using ResearchIR software. The T-Test value shows a significant difference in almost all the parameters between normal and hypertensive subjects. The percentage difference is high for the rate of temperature change in the neck left region (92.5%).","PeriodicalId":122243,"journal":{"name":"2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121616531","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

Experimental investigations on capacitive imaging of biological materials 生物材料电容成像的实验研究

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082289

A. Sahana, A. Paramasivam, K. Kamalanand

引用次数: 2

Preliminary big data analytics of hepatitis disease by random forest and SVM using r-tool 基于r-tool的随机森林与支持向量机的肝炎大数据初步分析

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082293

P. Lakshmi, G. Shwetha, N. M. Raja

{"title":"Preliminary big data analytics of hepatitis disease by random forest and SVM using r-tool","authors":"P. Lakshmi, G. Shwetha, N. M. Raja","doi":"10.1109/ICBSII.2017.8082293","DOIUrl":"https://doi.org/10.1109/ICBSII.2017.8082293","url":null,"abstract":"In the growing era of technology, concentration is on the analysis of large amount of structured and unstructured data. The processing applications are inadequate to deal with these data are termed as BigData since in large amounts. In this work, an initial stage for analysing medical informatics using R-studio by R programming is attempted by two algorithms. The biomedical data is used because they are concerned with the real time usage and is an open access journal aiming to facilitate the presentation, validation, use, and re-use of datasets, and can be modifiable with focus on publishing biomedical datasets that can serve as a source for simulation and computational modelling of diseases and biological processes. Random forest technique and support vector machine (SVM) techniques are used to derive features from the database and are able to differentiate various disease supports. The aim of this paper is to provide a comparison between the various techniques that are involved in the field of sorting the data and analysing them in large numbers. For this the process of data mining is used. Data mining is the process of extracting valuable information from a large set of databases. The latter technique produces more appropriate results that has less deviation from the reference taken from the hepatitis profile. By this method one can get the lead vision of the results that are produced by medical science. Therefore the SVM technique can be implemented practically in the medical field.","PeriodicalId":122243,"journal":{"name":"2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123902909","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

A priliminary study on the control of nano acrylamide polymerization reaction 纳米丙烯酰胺聚合反应控制的初步研究

2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2017-03-01 DOI: 10.1109/ICBSII.2017.8082295

N. Priyadharshini, K. Kamalanand

引用次数: 0