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2016 4th International Winter Conference on Brain-Computer Interface (BCI)最新文献

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Learning a new sense by sensory augmentation 通过感官增强学习一种新的感觉
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457456
P. König, Sabine U. König
{"title":"Learning a new sense by sensory augmentation","authors":"P. König, Sabine U. König","doi":"10.1109/IWW-BCI.2016.7457456","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457456","url":null,"abstract":"Theories of embodied cognition propose that mastery of the lawful relations (sensorimotor contingencies) of sensory signals and own actions in the world shape perception. Thus, we hypothesize that training a new sensorimotor contingency will lead to changes in the activation and interaction of sensorimotor systems with concomitant changes in perception. We trained participants for seven weeks with a sensory augmentation device that gave orientation information about the magnetic north via vibrotactile stimulation on the waist. Training with the feelSpace belt lead to (1) changes in sleep architecture, compatible with the consolidation of procedural learning and increased sensorimotor processing and motor programming, (2) differential activation in sensory and higher motor centers and brain areas involved in navigation, (3) changes of perception of space and belt perception and to an increased trust in navigational ability. Thus, our data support the hypothesis that new sensorimotor contingencies can be learned through sensory augmentation.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"64 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131209877","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
ERS differences between stroke patients and healthy controls after hand movement 脑卒中患者与健康对照组手部运动后ERS的差异
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457455
Suji Kim, Jong-Hwan Lee, Laehyun Kim
{"title":"ERS differences between stroke patients and healthy controls after hand movement","authors":"Suji Kim, Jong-Hwan Lee, Laehyun Kim","doi":"10.1109/IWW-BCI.2016.7457455","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457455","url":null,"abstract":"Rehabilitation after a stroke is important as the accompanying impairment has a heavy influence on the patients' quality of life and their careers. The use of a brain-computer interface (BCI) based on electroencephalography (EEG) can be one of the effective solutions for fast rehabilitation because it has certain advantages as compared to the traditional treatment. It can provide a quantitative analysis and neuro-feedback that can promote patient recovery by neuroplasticity. In this study, we investigated the correlation between the degree of motor impairment in the case of a chronic stroke and the timing of event-related synchronization (ERS) after a hand movement in order to examine the use of ERS as an assessment feature for the degree of motor impairment. Consequently, we found that after a hand movement, ERS occurred earlier in the healthy control group than in the stroke patient group. The difference between stroke patients and healthy controls was statistically significant. Further, we observed the same trend in two patient groups when stroke patients were divided into two groups according to their degree of motor impairment although the difference in this case was not statistically significant. ERS occurred earlier in the patient group with mild impairment than in the patient group with severe impairment.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131312406","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
Movement intention decoding based on deep learning for multiuser myoelectric interfaces 基于深度学习的多用户肌电界面运动意图解码
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457459
Ki-Hee Park, Seong-Whan Lee
{"title":"Movement intention decoding based on deep learning for multiuser myoelectric interfaces","authors":"Ki-Hee Park, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2016.7457459","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457459","url":null,"abstract":"Recently, the development of practical myoelectric interfaces has resulted in the emergence of wearable rehabilitation robots such as arm prosthetics. In this paper, we propose a novel method of movement intention decoding based on the deep feature learning using electromyogram of human biosignals. In daily life, the inter-user variability cause decreases in performance by modulating target EMG patterns across different users. Therefore, we propose a user-adaptive decoding method for robust movement intention decoding in the inter-user variability, employing the convolutional neural network for the deep feature learning, trained by different users. In our experimental results, the proposed method predicted hand movement intention more accurately than a competing method.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124610601","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: 119
Motor imagery detection with wavelet analysis for NIRS-based BCI 基于nir的脑机接口运动图像检测的小波分析
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457441
Bonkon Koo, H. Vu, Hwan-Gon Lee, Hyung-Cheul Shin, Seungjin Choi
{"title":"Motor imagery detection with wavelet analysis for NIRS-based BCI","authors":"Bonkon Koo, H. Vu, Hwan-Gon Lee, Hyung-Cheul Shin, Seungjin Choi","doi":"10.1109/IWW-BCI.2016.7457441","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457441","url":null,"abstract":"Near infrared spectroscopy (NIRS) is a non-invasive functional brain imaging device, which measures hemodynamic responses induced by brain activities. In this paper we collect NIRS signals associated with motor imagery and rest states, and analyze these signals with wavelet analysis. To our best knowledge, wavelet analysis method has not been used for hemodynamic response of motor imagery, although it is one of widely-used time-sequential signal analysis methods. In order to explore the usefulness of wavelet analysis, we extract features using various wavelet bases and then evaluate which features are more useful by cross-validation. Our empirical results clearly indicate that wavelet analysis is useful for obtaining meaningful features of the hemodynamic response, by achieving the averaged classification accuracy of about 86%. Among various wavelet bases used in our experiments, discrete Meyer wavelet function achieved the highest performance with classification accuracy of 93%.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132800438","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
A study on automated segmentation of retinal layers in optical coherence tomography images 光学相干断层扫描图像中视网膜层自动分割的研究
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457465
L. Ngo, Geown Yih, Seungbae Ji, Jae‐Ho Han
{"title":"A study on automated segmentation of retinal layers in optical coherence tomography images","authors":"L. Ngo, Geown Yih, Seungbae Ji, Jae‐Ho Han","doi":"10.1109/IWW-BCI.2016.7457465","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457465","url":null,"abstract":"The great achievements in both advanced optical coherence tomography (OCT) technique and computational methods contribute an undeniable tools in clinical diagnosis, especially in ophthalmological diseases diagnosis. Motived to catch up the state of art, the contemporary OCT image segmentation methods widely applied are reviewed and systematically summarized.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128301692","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
An empirical suggestion for collaborative learning in motor imagery-based BCIs 基于运动图像的脑机接口协同学习的实证建议
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457450
Eunsong Kang, Bum-Chae Kim, Heung-Il Suk
{"title":"An empirical suggestion for collaborative learning in motor imagery-based BCIs","authors":"Eunsong Kang, Bum-Chae Kim, Heung-Il Suk","doi":"10.1109/IWW-BCI.2016.7457450","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457450","url":null,"abstract":"In modern Brain-Computer Interfaces (BCIs), it usually requires the so-called calibration session to adapt a BCI model, e.g., spatial filter and classifier, to a target subject before use, due to high intra- and inter-subject variability in brain signals. From a practical perspective, this is one of the main challenges that should be resolved, thus motivating to use information from other subjects via collaborative learning. In this study, we analyze the effects of utilizing data from other subjects and identify whether generic patterns, which are informative for general BCI, exist by conducting experiments on the BCI Competition IV-IIa dataset. Based on our two experiments of naïve inter-subject BCI and generic pattern-guided inter-subject BCI, we suggest utilizing 1) categorical information of training samples and 2) samples of generic patterns for generalization of a BCI model.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121722757","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
Review on multi-wavelength quantitative phase microscopy 多波长定量相显微镜研究进展
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457452
Behnam Tayebi, Ji-Hyun Kim, Jae‐Ho Han
{"title":"Review on multi-wavelength quantitative phase microscopy","authors":"Behnam Tayebi, Ji-Hyun Kim, Jae‐Ho Han","doi":"10.1109/IWW-BCI.2016.7457452","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457452","url":null,"abstract":"Quantitative phase microscopy (QPM) is a noninvasive, and real-time technique for cognitive science and clinical applications. Optical properties dependency of the cells to protein concentration causes that multi-wavelength QPM can distinguish different types of cells with high precision. This work presents a review on the recent advances in multi-wavelength QPM.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127872124","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
Deep feature learning for pulmonary nodule classification in a lung CT 肺CT中肺结节分类的深度特征学习
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457462
Bum-Chae Kim, Y. Sung, Heung-Il Suk
{"title":"Deep feature learning for pulmonary nodule classification in a lung CT","authors":"Bum-Chae Kim, Y. Sung, Heung-Il Suk","doi":"10.1109/IWW-BCI.2016.7457462","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457462","url":null,"abstract":"In this paper, we propose a novel method of identifying pulmonary nodules in a lung CT. Specifically, we devise a deep neural network by which we extract abstract information inherent in raw hand-crafted imaging features. We then combine the deep learned representations with the original raw imaging features into a long feature vector. By taking the combined feature vectors, we train a classifier, preceded by a feature selection via t-test. To validate the effectiveness of the proposed method, we performed experiments on our in-house dataset of 20 subjects; 3,598 pulmonary nodules (malignant: 178, benign: 3,420), which were manually segmented by a radiologist. In our experiments, we achieved the maximal accuracy of 95.5%, sensitivity of 94.4%, and AUC of 0.987, outperforming the competing method.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115435986","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: 51
High performance with tactile P300 BCIs 高性能触觉P300 bci
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457442
A. Herweg, A. Kübler
{"title":"High performance with tactile P300 BCIs","authors":"A. Herweg, A. Kübler","doi":"10.1109/IWW-BCI.2016.7457442","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457442","url":null,"abstract":"Brain-Computer Interfaces (BCI) using event-related potentials (ERP) as input signal are widely investigated in the BCI community and mostly rely on visual stimulation to elicit the P300 ERP. One aim of BCI based applications is to restore lost function in people with severe disease. However, visual capacity may be hampered in this population rendering visual BCI inappropriate for this end-user group. Tactile stimulation constitutes an alternative modality to elicit ERPs. Current solutions suffer from low information transfer rates. In a group of elderly subjects and sensory experts, we demonstrated that training and expertise renders performance with a tactile P300- BCI in the range of visual BCIs.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124898781","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
Steady-state visual evoked potential based brain-computer interface with viewing distance changes 基于稳态视觉诱发电位的视距变化脑机接口
2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457466
Hee-Jin Park, Keun-Tae Kim, Seong-Whan Lee
{"title":"Steady-state visual evoked potential based brain-computer interface with viewing distance changes","authors":"Hee-Jin Park, Keun-Tae Kim, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2016.7457466","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457466","url":null,"abstract":"In the Brain-Computer Interface (BCI) based on Steady-State Visual Evoked Potential (SSVEP), the viewing distance is usually fixed in the 1 m. However, the performance of SSVEP was decreased when the viewing distance is increasing. This paper aims to investigate the effects of viewing distance variation to the SSVEP. We designed an experimental environment with different viewing distance and generated four visual flicker which presented on LED monitor flickering in frequencies of 7, 8, 9, and 10 Hz. The Canonical correlation analysis (CCA) and event related spectral perturbation (ERSP) methods were used to analyze the frequency information of the acquired SSVEP signals. Our results show that the latencies of SSVEP were increased according to the viewing distances and visual angles. Therefore, we used phase constrained canonical correlation analysis (pCCA) to reflect the latency in viewing distance changes. As a result, the accuracy obtained from pCCA was higher than standard CCA method.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"17 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132124078","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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