2009 4th International IEEE/EMBS Conference on Neural Engineering最新文献

Modeling the neuron-to-carbon nanotubes interface 神经元与碳纳米管界面的建模

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-07-26 DOI: 10.1109/NER.2009.5109246

P. Massobrio, G. Massobrio, S. Martinoia

引用次数: 0

Neurofunctional model of limbic influences on electroencephalographic correlates of selective attention governed by stimulus-novelty 刺激-新颖性控制的选择性注意对边缘神经功能影响的脑电图模型

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109395

L. Haab, C. Trenado, D. Strauss

引用次数: 3

Pleasure detection from the facial motor cortex by the brain-computer interface 基于脑机接口的面部运动皮层快感检测

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109326

Zia Mohy Ud-Din, S. Woo, W. Qun, J. Kim, H. Jang, Maan-Gee Lee, Jin-Ho Cho

引用次数: 0

Study of sleep stages by controlled inducement and measurement of drowsiness related biomedical signals. 通过控制诱导和测量与嗜睡相关的生物医学信号来研究睡眠阶段。

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109254

L. Servera, M. Fernández-Chimeno, Miguel Angel Garcia Gonzalez

引用次数: 0

A hybrid generative/discriminative method for EEG evoked potential detection 脑电诱发电位的生成/判别混合检测方法

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109288

Yonghong Huang, M. Pavel, K. Hild, Deniz Erdoğmuş, S. Mathan

引用次数: 7

Exploiting P300 amplitude variations can improve classification accuracy in Donchin's BCI speller 利用P300振幅变化可以提高东钦BCI拼字器的分类准确率

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109337

L. Citi, R. Poli, C. Cinel

{"title":"Exploiting P300 amplitude variations can improve classification accuracy in Donchin's BCI speller","authors":"L. Citi, R. Poli, C. Cinel","doi":"10.1109/NER.2009.5109337","DOIUrl":"https://doi.org/10.1109/NER.2009.5109337","url":null,"abstract":"The P300 is an endogenous component of EEG event related potentials which is elicited by rare and significant stimuli. P300s are used increasingly frequently in Brain Computer Interfaces (BCI) because, being naturally elicited in response to external stimuli, users do not need special training. However, P300 waves are hard to detect and, therefore, multiple stimulus presentations are needed before an interface can make a reliable decision. While significant improvements have been made in the detection of P300s, no particular attention has been paid to the variability in shape and timing of P300 waves and its exploitation in BCI. In this paper we start filling this gap, by first documenting and then exploiting a modulation in amplitude of P300 caused by target-to-target interval (TTI) differences. We demonstrate this within the context of the Donchin's speller, which is perhaps the best known example of a BCI system relying on the detection P300 waves, where target-to-target interval variations are induced by stimuli randomisation. In particular we show that by specialising detectors to work with P300s elicited with each TTI, we can further improve the performance of the best known Donchin's speller with minimal changes.","PeriodicalId":228254,"journal":{"name":"2009 4th International IEEE/EMBS Conference on Neural Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128762866","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: 15

A twin-volume head coil for fMRI to study two interacting brains in one scanner 一种用于fMRI的双容积头线圈，用于在一台扫描仪上研究两个相互作用的大脑

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109261

Ray F. Lee, Weiming Dai, W. Dix

引用次数: 2

Approximating transfer functions using neural network weights 利用神经网络权值逼近传递函数

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109378

T. Tutunji

引用次数: 3

Extension of common spatial pattern (CSP) algorithm to multi-task case by Jacobi Rotations for single-trial EEG classification 基于Jacobi旋转的公共空间模式(CSP)算法在单次脑电分类中的扩展

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109304

Lin Liu, Qingguo Wei

引用次数: 5

Design of a mental task-based brain-computer interface with a zero false activation rate using very few EEG electrode channels 利用极少量的脑电电极通道设计一个零误激活率的基于心理任务的脑机接口

2009 4th International IEEE/EMBS Conference on Neural Engineering Pub Date : 2009-06-23 DOI: 10.1109/NER.2009.5109318

F. Faradji, R. Ward, G. Birch

{"title":"Design of a mental task-based brain-computer interface with a zero false activation rate using very few EEG electrode channels","authors":"F. Faradji, R. Ward, G. Birch","doi":"10.1109/NER.2009.5109318","DOIUrl":"https://doi.org/10.1109/NER.2009.5109318","url":null,"abstract":"To design a practical brain-computer interface, the high rate of false activation and the high number of necessary electrodes are two major problems that must be addressed. The objective of this study is to design a brain interface system that requires very few channels, has a zero false activation rate and a high true activation rate. To attain this objective, a brain-computer interface that is EEG-based and that is activated by mental tasks is proposed. The system is custom designed for each subject. For each subject, the most discriminatory mental task that yields a zero false activation rate is determined. By keeping the false positive rate at zero, the number of channels needed is reduced. We show that we can obtain a false positive rate of zero value and a true positive rate in the range of 71.96% to 77.61% with only three electrode channels. The dataset used was not collected in a self-paced paradigm; however, it is employed to show that the design of a self-paced interface is feasible. EEG signals of four subjects performing five mental tasks are used as data. Applying fast and simple approaches like the autoregressive modeling and the quadratic discriminant analysis as the feature extraction and classification methods, respectively, is another advantage of the present work.","PeriodicalId":228254,"journal":{"name":"2009 4th International IEEE/EMBS Conference on Neural Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127625921","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: 6