2017 5th International Winter Conference on Brain-Computer Interface (BCI)最新文献_第4页

Classification of computed tomography scanner manufacturer using support vector machine 用支持向量机对计算机断层扫描仪制造商进行分类

2017 5th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 1900-01-01 DOI: 10.1109/IWW-BCI.2017.7858167

Seung-Bo Lee, Eun-Jin Jeong, Yunsik Son, Dong-Joo Kim

{"title":"Classification of computed tomography scanner manufacturer using support vector machine","authors":"Seung-Bo Lee, Eun-Jin Jeong, Yunsik Son, Dong-Joo Kim","doi":"10.1109/IWW-BCI.2017.7858167","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2017.7858167","url":null,"abstract":"Computed tomography (CT) is useful to investigate the presence and severity of injury during acute stage of traumatic brain injury (TBI) due to its availability and short image acquisition time. Recently, quantitative CT analysis have shown promising results in objective and accurate assessment of lesion and the prediction of outcome. To conduct further multicenter, longitudinal follow-up studies using quantitative analysis, the effect of CT scanner manufacturer should be investigated. In this study, CT images were acquired from 326 subjects without any apparent intracranial abnormalities. The images were scanned by three different scanner manufacturers. The quantitative analysis was performed and plotted as density distribution. The acquired density distributions were served as input features of support vector machine (SVM) using Gaussian kernel function, which is designed for classifying the CT images based on the scanner manufacturers. The optimal hyperparameters were explored via grid search test and the model increased the robustness by 5-fold cross validation. The best predictive performance was obtained when C = 100 and γ = 0.1 (accuracy = 91.1 %). The results showed significant difference in density distribution according to the scanner manufacturers, and thus suggest that the manufacturer should be standardized to conduct the quantitative analysis on the brain CT images.","PeriodicalId":443427,"journal":{"name":"2017 5th International Winter Conference on Brain-Computer Interface (BCI)","volume":"71 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":"124983444","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

The neural analysis of “why service can improve product competitiveness” “服务为什么能提高产品竞争力”的神经学分析

2017 5th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 1900-01-01 DOI: 10.1109/IWW-BCI.2017.7858162

Meina Zhao, Lingdi Liu, Jing Wang, Gang Zhao

{"title":"The neural analysis of “why service can improve product competitiveness”","authors":"Meina Zhao, Lingdi Liu, Jing Wang, Gang Zhao","doi":"10.1109/IWW-BCI.2017.7858162","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2017.7858162","url":null,"abstract":"The change in human brain signals and their event-related potential (ERP) components are observed as a reflection of consumers' emotions when examining a buying process. The product-service system (PSS) is a comprehensive business model that is able to fulfill user requirements by providing a mix of products and services. Services can improve the competitiveness of products and enhance customer satisfaction, but there is lack of research on the root of service competitiveness. In this experiment, participants were shown products and related services that were available for purchase. The emotional ERP component, the EPN, was elicited by the service conditions and distributed over left frontal regions, which was different with physical products stimulus. The main findings of the experiment confirm that the positive emotional connotations are processed in the left frontal region. This result helps us better understand the positive emotions are stimulated during the services decision making process, and in order to better understand the different perception of physical products and service. Based on the emotional motivation of the consumer, the EPN may be emotional indicators for measuring consumers' evaluations of service, providing a neural view of PSS buying decisions.","PeriodicalId":443427,"journal":{"name":"2017 5th International Winter Conference on Brain-Computer Interface (BCI)","volume":"38 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":"115134379","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

An online self-paced brain-computer interface onset detection based on sound-production imagery applied to real-life scenarios 基于声音制作图像应用于现实生活场景的在线自定节奏脑机接口发作检测

2017 5th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 1900-01-01 DOI: 10.1109/IWW-BCI.2017.7858155

Youngjae Song, F. Sepulveda

{"title":"An online self-paced brain-computer interface onset detection based on sound-production imagery applied to real-life scenarios","authors":"Youngjae Song, F. Sepulveda","doi":"10.1109/IWW-BCI.2017.7858155","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2017.7858155","url":null,"abstract":"This research investigated an online onset detection (i.e., ON state detection in asynchronous BCIs) method for BCIs by opening a message when it arrives in two different daily-life task scenarios (watching video and reading text). A new sound-production related cognitive task (Sound-production imagery, SI) was tested. Blind-source separation with canonical correlation analysis was used for artefact handling. Autoregressive coefficients, band power, common spatial patterns and discrete wavelet transform were used for feature extraction to cover all time, frequency, and spatial time-frequency domain. Linear discriminant analysis was used for classification. The averaged true-positive rate with six subjects was 88.9% in the watching video scenario and 78.9% in the reading text case. The average false-positive rates were 4.2% and 3.9%, respectively. In terms of task response speed, SI task recognition took 4.45s on average for an onset. From these results, the new SI task showed promising results for an online self-paced onset detection system compared to other similar studies.","PeriodicalId":443427,"journal":{"name":"2017 5th International Winter Conference on Brain-Computer Interface (BCI)","volume":"37 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":"115232999","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: 5

Practical brain-machine interface system 实用脑机接口系统

2017 5th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 1900-01-01 DOI: 10.1109/IWW-BCI.2017.7858153

H. Yeom, J. Kim, C. Chung

引用次数: 0

Baseline drift detection index using wavelet transform analysis for fNIRS signal 基于小波变换分析的fNIRS信号基线漂移检测指标

2017 5th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 1900-01-01 DOI: 10.1109/IWW-BCI.2017.7858163

Gihyoun Lee, Seung Hyun Lee, S. Jin, J. An

引用次数: 4