2010 International Conference on Systems in Medicine and Biology最新文献

Alpha-amylase activity of tannin isolated from Terminalia chebula 诃子单宁α -淀粉酶活性研究

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-16 DOI: 10.1109/ICSMB.2010.5735421

S. Mukherjee, A. Mitra, S. Dey, G. Thakur

引用次数: 5

Blood glucose regulation in IDDM patient by H∞ control: An LMI approach H∞控制对IDDM患者血糖调节的一种LMI方法

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735405

S. Mandal, A. Sutradhar

引用次数: 10

A multifrequency constant current source suitable for Electrical Impedance Tomography (EIT) 适用于电阻抗断层成像(EIT)的多频恒流源

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735387

T. Bera, N. Jampana

引用次数: 45

Technique of Topographical mapping of FDI muscle response after Single pulse TMS stimulation: A method to study inter hemispheric symmetry and plasticity of human motor cortex 单脉冲经颅磁刺激后FDI肌肉反应的地形图绘制技术:一种研究人类运动皮层半球间对称性和可塑性的方法

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735367

B. K. Arya, M. Manjunatha, A. Kishore, B. Velayudhan

引用次数: 1

UV photodiode based portable fiber optic biosensor 基于紫外光电二极管的便携式光纤生物传感器

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735399

Arvind Dhawangale, R. Bharadwaj, S. Mukherji, T. Kundu

引用次数: 3

An experimental study for analyzing static stability using two load cell methods 用两种称重传感器方法分析静力稳定性的实验研究

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735395

P. Lenka, D. N. Tiberwala

{"title":"An experimental study for analyzing static stability using two load cell methods","authors":"P. Lenka, D. N. Tiberwala","doi":"10.1109/ICSMB.2010.5735395","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735395","url":null,"abstract":"This paper reports on the design, fabrication, and performance evaluation of a two load cell based force plate that can measure static stability. The force plate was manufactured using conventional machine tools for substantially lower cost than commercially available units. To achieve these attributes, the force plate embodied two octagonal load cells that were instrumented with conventiona1 strain gauges. The mechanical design of load cell was tested in ANSYS 10.0 and the mounting of strain gauge on the octagonal ring made as per ANSYS result Strain gauge signals were amplified by simple signal conditioning circuits with a low component count. The four strain gauge output after amplification and filtered, interfacing to personal computer through data acquisition LAB JACK card. The factors of stability evaluated were: sway velocity, AP range, R.M.S. distance, Mean Distance, Sway Area, Mean power frequency, the dependence on vision as indicated by ratio of eye open and eye close values. The simulation results in ANSYS showed that the maximum deflection in a load cell was less than 0.154 mm when a load of 1000 N applied vertically. The preliminary clinical results tested with normal subjects demonstrated that the two load cell force plate provides similar output in comparison to conventional force plate.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124109567","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

Classification of EEG signal using wavelet transform and support vector machine for epileptic seizure diction 基于小波变换和支持向量机的脑电图信号分类

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735413

R. Panda, P. Khobragade, P. Jambhule, S. N. Jengthe, P. Pal, T. Gandhi

{"title":"Classification of EEG signal using wavelet transform and support vector machine for epileptic seizure diction","authors":"R. Panda, P. Khobragade, P. Jambhule, S. N. Jengthe, P. Pal, T. Gandhi","doi":"10.1109/ICSMB.2010.5735413","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735413","url":null,"abstract":"Feature extraction and classification of electroencephalogram (EEGs) signals for (normal and epileptic) is a challenge for engineers and scientists. Various signal processing techniques have already been proposed for classification of non-linear and non- stationary signals like EEG. In this work, SVM (support vector machine) based classifier was employed to detect epileptic seizure activity from background electro encephalographs (EEGs). Five types of EEG signals (healthy subject with eye open condition, eye close condition, epileptic, seizure signal from hippocampal region) were selected for the analysis. Signals were preprocessed, decomposed by using discrete wavelet transform DWT till 5th level of decomposition tree. Various features like energy, entropy and standard deviation were computed and consequently used for classification of signals. The results show the promising classification accuracy of nearly 91.2% in detection of abnormal from normal EEG signals. This proposed classifier can be used to design expert system for epilepsy diagnosis purpose in various hospitals.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121464668","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: 147

Mining association rules from HIV-human protein interactions 从hiv -人类蛋白相互作用中挖掘关联规则

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735401

A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, R. Eils

引用次数: 19

Simple cytosensor based electrical characterization of keratinocytes and fibroblasts with prime molecular expressions towards skin tissue engineering applications 基于简单细胞传感器的角质形成细胞和成纤维细胞电学表征及其在皮肤组织工程中的主要分子表达

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735362

A. Barui, R. Das, S. Dhara, J. Chatterjee, R. Dev Das, A. Ray, C. RoyChaudhuri

{"title":"Simple cytosensor based electrical characterization of keratinocytes and fibroblasts with prime molecular expressions towards skin tissue engineering applications","authors":"A. Barui, R. Das, S. Dhara, J. Chatterjee, R. Dev Das, A. Ray, C. RoyChaudhuri","doi":"10.1109/ICSMB.2010.5735362","DOIUrl":"https://doi.org/10.1109/ICSMB.2010.5735362","url":null,"abstract":"Investigation of electrical properties along with molecular expressions of the keratinocyte and fibroblast under different physiological conditions can provide insight into their functioning which can contribute significantly towards skin tissue engineering application. For electrical characterization, cell based biosensors are usually designed with photolithographically patterned electrodes which are of the dimensions of cells. This increases cost and complexity of the analysis. In this paper, we report electrical characterization of keratinocyte and fibroblast cells, cultured in DMEM-F12 and DMEM media with a low cost and sensitive macroporous silicon platform using simple electrode geometries for the first time. Impedance spectroscopy results show that, there is a distinct difference between the electrical properties like effective capacitance and resistance of HaCaT (keratinocyte) and 3T3 (fibroblast) cells in the frequency range from 100Hz to 1MHz. The keratinocyte cells are observed to possess lower impedance than the fibroblast cells. The differences in the electrical properties have been correlated with the immunocytochemically detected prime molecular expressions of these cells. This multimodal analysis will help in the estimation of the degree of normalcy of these cells through a less complex and low cost electrical route.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127900775","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

On the suitability of a Two-Pulse Synthesis model for photoplethysmograph signal analysis in Public cardiac care program 关于在公共心脏保健项目中光容积脉搏波信号分析的双脉冲合成模型的适用性

2010 International Conference on Systems in Medicine and Biology Pub Date : 2010-12-01 DOI: 10.1109/ICSMB.2010.5735388

D. Goswami, K. Chaudhuri, J. Mukherjee

引用次数: 0