The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society最新文献

Hybrid processing and time-frequency analysis of ECG signal 心电信号的混合处理与时频分析

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2007-09-14 DOI: 10.1007/978-3-540-74771-0_6

Ping-jun Zhang, C. Tu, Xiaoyan Li, Yanjun Zeng

引用次数: 3

Development of communication supporting device controlled by eye movements and voluntary eye blink 眼动和自主眨眼控制的交流辅助装置的研制

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2006-06-01 DOI: 10.1093/ietisy/e89-d.6.1790

J. Hori, K. Sakano, Y. Saitoh

引用次数: 91

Dual Stewart platform mobility simulator 双Stewart平台移动模拟器

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2005-08-29 DOI: 10.1109/ICORR.2005.1502023

R. Boian, M. Bouzit, G. Burdea, J. Lewis, J. Deutsch

引用次数: 33

Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals 脑电信号固定自回归模型和自适应自回归模型的脑任务分类

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2005-03-16 DOI: 10.1109/CNE.2005.1419704

Huan Nai-Jen, Ramaswamy Palaniappan

{"title":"Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals","authors":"Huan Nai-Jen, Ramaswamy Palaniappan","doi":"10.1109/CNE.2005.1419704","DOIUrl":"https://doi.org/10.1109/CNE.2005.1419704","url":null,"abstract":"Classification of EEG signals extracted during mental tasks is a technique for designing brain computer interfaces (BCI). We classify EEG signals that were extracted during mental tasks using fixed autoregressive (FAR) and adaptive AR (AAR) models. Five different mental tasks from 4 subjects were used in the experimental study and combinations of 2 different mental tasks are studied for each subject. Four different feature extraction methods were used to extract features from these EEG signals: FAR coefficients computed with Burg's algorithm using 125 data points, without segmentation and with segmentation of 25 data points, AAR coefficients computed with least-mean-square (LMS) algorithm using 125 data points, without segmentation and with segmentation of 25 data points. Multilayer perception (MLP) neural network (NN) trained by the backpropagation (BP) algorithm is used to classify these features into the different categories representing the mental tasks. The best results for FAR was 92.70% while for AAR was only 81.80%. The results obtained here indicated that FAR using 125 data points without segmentation gave better classification performance as compared to AAR, with all other parameters constant.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121424758","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: 59

On the forward problem of EEG cortical imaging by means of finite element method 基于有限元法的脑电皮层成像正演问题研究

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2004-09-01 DOI: 10.1109/IEMBS.2004.1404234

Y.C. Zhang, S.A. Zhu, L. Ding, Z.M. Liu, Bin He

引用次数: 3

Conductive polymer "molecular wires" increase conductance across artificial cell membranes 导电聚合物“分子线”增加了人工细胞膜的导电性

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2004-09-01 DOI: 10.1109/IEMBS.2004.1404205

A. Widge, M. Jeffries‐EL, Y. Matsuoka

{"title":"Conductive polymer \"molecular wires\" increase conductance across artificial cell membranes","authors":"A. Widge, M. Jeffries‐EL, Y. Matsuoka","doi":"10.1109/IEMBS.2004.1404205","DOIUrl":"https://doi.org/10.1109/IEMBS.2004.1404205","url":null,"abstract":"Highly intimate contact between an electrode and a living neuron is strongly desired by both basic neuroscientists and engineers seeking to develop more effective neural prostheses. The net resistance between electrode and cell must be decreased in order to improve the quality of recordings and deliver the minimum necessary stimulating current specifically to the target cell. The ideal situation would be to establish chronic intracellular contact, bypassing the resistance of the cell membrane and the surrounding tissue. We present here evidence that regioregular polythiophene conductive polymers increase the electrical conductance of an artificial lipid bilayer that simulates a cell membrane. Our initial data on its behavior suggest that the polymer is freely diffusing within the lipid phase. This implies that these polymers, if tethered to a larger microelectrode, could permit long-term sustainable intracellular stimulation and recording. We therefore believe that this new molecule, when further developed, has the potential to significantly improve the performance of existing chronic electrode systems and possibly to enable new types of biosensors.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127528431","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 signal analysis algorithm for determining brain compliance non-invasively 一种无创确定脑顺应性的信号分析算法

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2004-06-26 DOI: 10.1109/ISSMD.2004.1689554

P. Manwaring, D. Wichern, M. Manwaring, J. Manwaring, K. Manwaring

{"title":"A signal analysis algorithm for determining brain compliance non-invasively","authors":"P. Manwaring, D. Wichern, M. Manwaring, J. Manwaring, K. Manwaring","doi":"10.1109/ISSMD.2004.1689554","DOIUrl":"https://doi.org/10.1109/ISSMD.2004.1689554","url":null,"abstract":"Patients with increased intracranial pressure (ICP) caused by hydrocephalus or brain injury have poor brain compliance or increased brain stiffness. The condition is commonly treated by a surgical diversion of cerebrospinal fluid (CSF) through placement of a ventriculoperitoneal (VP) shunt. These inserted devices frequently fail and require replacement. Assessment of failed devices typically requires an invasive surgical procedure to implant an ICP sensor. Brain compliance can be determined non-invasively by comparing the intracranial pressure (ICP) waveform to the digital artery waveform. The ICP waveform is derived from a piezo sensor snugged into the external ear canal and worn as a headset. The digital artery waveform is derived from a stand pulse oximeter. Digital signal processing performed on sampled data from these two sensors shows a time-lag or phase relationship between the two waves which widens with worsening brain stiffness or compliance. An algorithm is presented that shows how these signals can be used to compute brain compliance. An instrument designed to calculate real-time brain compliance to aid healthcare professionals is described.","PeriodicalId":193326,"journal":{"name":"The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130824892","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: 9

Protein secondary structure prediction with semi Markov HMMs 半马尔可夫hmm预测蛋白质二级结构

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2004-05-17 DOI: 10.1109/ICASSP.2004.1327176

Z. Aydın, Y. Altunbasak, M. Borodovsky

引用次数: 25

Separation of blood in microchannel bends 微通道弯曲中血液的分离

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2003-09-17 DOI: 10.1117/12.522780

C. Blattert, R. Jurischka, I. Tahhan, A. Schoth, P. Kerth, Wolfgang Menz

引用次数: 54

Hydrogel-based bioMEMS platforms for smart drug delivery 基于水凝胶的生物机械系统智能给药平台

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1900-01-01 DOI: 10.1109/IEMBS.2004.1403766

B. Ziaie, R. Siegel

引用次数: 1