2016 International Conference on Systems in Medicine and Biology (ICSMB)最新文献

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Evaluation of denoising techniques for EOG signals based on SNR estimation 基于信噪比估计的EOG信号去噪技术评价
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 2015-06-16 DOI: 10.1109/ICSMB.2016.7915110
A. Dasgupta, S. Chakrborty, Aritra Chaudhuri, A. Routray
{"title":"Evaluation of denoising techniques for EOG signals based on SNR estimation","authors":"A. Dasgupta, S. Chakrborty, Aritra Chaudhuri, A. Routray","doi":"10.1109/ICSMB.2016.7915110","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915110","url":null,"abstract":"This paper evaluates four algorithms for denoising raw Electrooculography (EOG) data based on the Signal to Noise Ratio (SNR). The SNR is computed using the eigenvalue method. The filtering algorithms are a) Finite Impulse Response (FIR) bandpass filters, b) Stationary Wavelet Transform, c) Empirical Mode Decomposition (EMD) d) FIR Median Hybrid Filters. An EOG dataset has been prepared where the subject is asked to perform letter cancelation test on 20 subjects.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124143795","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
Porous silicon substrates support osteogenic differentiation of mesenchymal stem cells 多孔硅基质支持间充质干细胞成骨分化
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915105
A. Parveen, D. Mills, D. Kuila
{"title":"Porous silicon substrates support osteogenic differentiation of mesenchymal stem cells","authors":"A. Parveen, D. Mills, D. Kuila","doi":"10.1109/ICSMB.2016.7915105","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915105","url":null,"abstract":"Osteoblastic differentiation of mesenchymal stem cells (MSCs) on planar silicon (bare silicon), and porous silicon (microporous and nanoporous) fabricated by electrochemical etching of silicon in ethanol-HF based electrolyte was investigated. MSCs were allowed to differentiate into osteoblasts on all the three substrates with the addition of osteogenic differentiation media, and observations were made at an interval of day 7, day 14, and day 21. Immunofluorescence assays were conducted to observe for expressions of bone proteins such as osteopontin (OP) and osteonectin (ON) that are considered as markers of osteogenic lineage. Cell proliferation was determined using the MTT assay. Calcium mineral deposits of these differentiated MSCs were quantified using the Alizarin Red assay. The differentiated MSCs tend to produce both OP and ON on all the three substrates and the amount of OP and ON expressed increased overtime. A decrease in cell proliferation was observed on day 14 in comparison to day 7. Quantification of calcium mineral deposits show that nanoporous-Si induces the highest level of calcium mineral production in comparison to bare and microporous-Si when cultured for a period of 21 days. The data suggest that nanoporous silicon is a suitable scaffold for the differentiation of MSCs to osteoblasts, and provides future potentials for its use in animal experiments.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"60 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":"121247026","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 thermographic method for detecting Respiratory Alkalosis by monitoring breath patterns 一种通过监测呼吸模式来检测呼吸性碱中毒的热成像方法
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915080
A. Basu, A. Dasgupta, A. Routray
{"title":"A thermographic method for detecting Respiratory Alkalosis by monitoring breath patterns","authors":"A. Basu, A. Dasgupta, A. Routray","doi":"10.1109/ICSMB.2016.7915080","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915080","url":null,"abstract":"This paper describes a method for computing the respiration rates of an individual using thermography for the detection of Respiratory Alkalosis. We identify inhalation and exhalation in the thermal images of faces to count the respiration rate. Based on the face orientation we employ two different algorithms separately for the computation of respiration rate. First, we find the body temperature from specific face regions and extract the appropriate ROI for identifying the respiration rate. The exhalations are identified from the thermal images by finding the feature of the hot patches around the extracted region. Thus the respiration rate, as well as the respiration pattern, is monitored from the thermal signature obtained. The method has been tested on 30 subjects and validated using spirometry.","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":"127089658","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
Knowledge abstraction from textural features of brain MRI images for diagnosing brain tumor using statistical techniques and associative classification 基于统计技术和关联分类的脑MRI图像纹理特征知识提取用于脑肿瘤诊断
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915086
A. Sambyal, A. T
{"title":"Knowledge abstraction from textural features of brain MRI images for diagnosing brain tumor using statistical techniques and associative classification","authors":"A. Sambyal, A. T","doi":"10.1109/ICSMB.2016.7915086","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915086","url":null,"abstract":"This paper presents a methodology for finding the association rules using associative classification which can be used to abstract knowledge from brain MRI images. Reducing the size of images using different thresholds help to reduce the complexity of the proposed system without affecting the correctness of these images. Textural features are taken into consideration because when there is a wide variation of features of discrete gray tone, the texture dominates more. Gray-Tone Spatial-Dependence matrices are calculated from images in which textural information is contained. The system uses a supervised learning approach for selecting the important features from different textural features. Using associative classification, the rules are generated from selected textural features which abstract the knowledge from the images.","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":"130835859","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
Influence of gap junction subtypes on passive and active electrical properties of syncytial tissues 间隙连接亚型对合胞组织被动和主动电特性的影响
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915104
Shailesh Appukuttan, R. Sathe, R. Manchanda
{"title":"Influence of gap junction subtypes on passive and active electrical properties of syncytial tissues","authors":"Shailesh Appukuttan, R. Sathe, R. Manchanda","doi":"10.1109/ICSMB.2016.7915104","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915104","url":null,"abstract":"Gap junctions are intercellular pores which provide a means of communication in syncytial tissues. They play a vital role in the normal physiological functioning and development of such tissues. A variety of such pores have been reported with differences in their biophysical properties. The current study aims at computationally modeling these gap junctional channels and investigating their influence in determining the behavior of electrically coupled networks of cells. Towards this end, a comparison of passive and active properties has been undertaken by employing different gap junction subtypes.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"182 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":"131277762","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
A low-cost, wearable, portable EOG recording system 一种低成本、可穿戴、便携式EOG记录系统
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915098
Aritra Chaudhuri, A. Dasgupta, S. Chakrborty, A. Routray
{"title":"A low-cost, wearable, portable EOG recording system","authors":"Aritra Chaudhuri, A. Dasgupta, S. Chakrborty, A. Routray","doi":"10.1109/ICSMB.2016.7915098","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915098","url":null,"abstract":"This paper describes a new low-cost, wearable and portable system to acquire Electro-oculogram (EOG) signals. The system comprises of three electrodes for recording EOG, an instrumentation amplifier and signal conditioning unit, and a general purpose computer with a custom made EOG analysis software. A special type of signal acquisition arrangement has been made where the electrodes are embedded in a frame of a spectacle that provides adjustable settings for different head sizes. The electrodes comprise of dry Ag-AgCl sensors for acquiring the data. The software consists of preprocessing options such as sensor noise removal, power line noise removal, blink detection, saccade detection, etc. The system has been tested against a standard commercial Polysomnography system.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"13 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":"126438437","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: 12
Automatic assessment of the degree of TB-infection using images of ZN-stained sputum smear: New results 利用锌染色痰涂片图像自动评估结核感染程度:新结果
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915079
R. S. Soans, V. Shenoy, R. R. Galigekere
{"title":"Automatic assessment of the degree of TB-infection using images of ZN-stained sputum smear: New results","authors":"R. S. Soans, V. Shenoy, R. R. Galigekere","doi":"10.1109/ICSMB.2016.7915079","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915079","url":null,"abstract":"We present new results in the context of automatic assessment of the presence of acid fast bacilli (AFB) in images of ZN-stained sputum smears. Specifically, the first phase involving color segmentation in the HSV space is improved in terms of quality by using a decision-tree classifier. Further, we have recognized the possibility of staining artifacts of large size, and propose a method of discriminating the same from clumps of AFB. The method involves the use of Haralick's texture features. Its importance lies in the fact that the presence of large clumps or even several small clumps in an image of a sputum smear generally indicates a higher degree of infection. The results of segmentation - as assessed by the Sorenson-Dice coefficient & the Hausdorff distance - are better than those pertaining to our previous work. The counts of AFB are close to those based on visual inspection, and the clumps could be separated from large staining artifacts successfully.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"57 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":"121402898","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
DWT-based feature extraction and classification for motor imaginary EEG signals 基于小波变换的运动虚脑电信号特征提取与分类
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915118
Sasweta Pattnaik, M. Dash, S. Sabut
{"title":"DWT-based feature extraction and classification for motor imaginary EEG signals","authors":"Sasweta Pattnaik, M. Dash, S. Sabut","doi":"10.1109/ICSMB.2016.7915118","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915118","url":null,"abstract":"A brain-computer interface (BCI) permits cerebral activity alone to control the external devices for assisting people with neuro muscular impairments. Electroencephalogram (EEG) signals are used for brain computer interaction which is highly non-stationary therefore major challenge is to extract features and classify the signals accurately. In this paper we focused on the extraction of features of EEG motor activities using Discrete Wavelet Transform (DWT) and classified the signal for using Artificial Neural Network (ANN) for differentiating left and right hand imagery movement. Two sets of feature vectors are taken from beta rhythm as input to the Feed-forward neural network classifier. We observed that three input feature vectors like mean, standard deviation and peak power achieved better classification performance result of 80.71% compared to two input feature vector which is of 78.57%.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"33 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":"114285522","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: 22
The illusive man 虚幻的人
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915102
Anant Shukla
{"title":"The illusive man","authors":"Anant Shukla","doi":"10.1109/ICSMB.2016.7915102","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915102","url":null,"abstract":"This research paper introduces a low cost technique to control an assistive wheel chair for people with neuromuscular impairment by using their brainwaves and eye blinks. This entire system is made wearable and functional in outside lab environment without requirement of technical expert. We are using cheapest (INR 6,800) available NeuroSky Brainwave Mobile (EEG sensor). Instead of using large number of electrode by applying gel between scalp and electrode as done in traditional EEG this sensor uses single non-invasive dry electrode sensor. So it can directly be placed on head and taken off as a head band without any surgery or using any gel making it functional, wearable and portable in outside lab environment . This makes BCI (Brain Computer Interface) much easy to use and affordable. Taking in account that subject has to alter his mental state to control the chair so response to sudden obstacle and hurdles will be difficult and not simultaneously which can be very dangerous in making assistive machine for locomotion in uneven environments. Hence we have added ultrasonic, infrared, LDR (Light Detecting Resistance), temperature, gas, inertial sensor along with EEG sensor. These sensor will do the trajectory mapping and the subject's mental state will control the driving in this safe trajectory, eye blinks will be used for conscious maneuvering of wheel chair and an instantaneous graph showing the subjects mental state would be displayed for feedback. So during subject's conscious state it will be semi-autonomous and in unconscious or sleepy state fully autonomous.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"33 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":"121784351","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
Hierarchical Region Splitting detects iron-oxide labeled neural stem cells in Susceptibility Weighted magnetic resonance imaging 分层区域分裂检测铁氧化物标记的神经干细胞在敏感性加权磁共振成像
2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915091
Mohsen Baghchechi, A. Obenaus, S. Ashwal, Mary Hamer, Amy Plaia, N. Ghosh
{"title":"Hierarchical Region Splitting detects iron-oxide labeled neural stem cells in Susceptibility Weighted magnetic resonance imaging","authors":"Mohsen Baghchechi, A. Obenaus, S. Ashwal, Mary Hamer, Amy Plaia, N. Ghosh","doi":"10.1109/ICSMB.2016.7915091","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915091","url":null,"abstract":"Human neural stem cells are multipotent cells that aid in recovery from hypoxic ischemic injury (HII). The work proposes that an automated and computational method, Hierarchical Region Splitting (HRS) of Susceptibility Weighted Images (SWI) can identify iron oxide labeled human neural stem cells (hNSCs) within the hypoxic-ischemic brain. Using a unilateral carotid artery occlusion model in neonatal rat pups, we implanted hNSCs that were labeled with Feridex (iron-oxide agent). The rats were then non-invasively imaged (1–90 days post implantation) using SWI magnetic resonance imaging (MRI), which enhances visualization of hypointensity areas that contain iron-oxide labeled hNSCs. SWI images were further enhanced by creating minimum intensity projections (MIP's) from raw magnitude images that were combined with phase images. SWI, due to its sensitivity to paramagnetic compounds, such as iron oxide, resulted in an 8-fold enhancement of small regions of iron oxide labeled stem cells. HRS analysis allowed for semi-automatic detection of hNSCs from SWI images. We found hNSCs in the striatum and regions adjacent to the lesion that corresponded to histological Prussian blue staining, confirming the presence of hNSCs in the areas identified by HRS. hNSC volumes were increased at 30 days and then plateaued until 90 days post implantation. Phase values (radians) were shown to be increased in MR images containing stem cells at later time points consistent with a reduction in iron oxide as hNSCs replicate and migrate from the implantation site. Quantitative SWI derived hNSC volumes were similar to that previously reported. Our results confirm that HRS in conjunction with the high sensitivity of SWI could be used to monitor iron-labeled hNSCs in a clinically relevant manner.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"15 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":"134286963","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
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