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Classifying ECoG signals prior to voluntary movement onset 在自主运动开始前对ECoG信号进行分类
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506622
Sang Hun Lee, K. Choi, Sehyoon Jeong, J. Kim, C. Chung
{"title":"Classifying ECoG signals prior to voluntary movement onset","authors":"Sang Hun Lee, K. Choi, Sehyoon Jeong, J. Kim, C. Chung","doi":"10.1109/IWW-BCI.2013.6506622","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506622","url":null,"abstract":"Recently, in brain-computer interface (BCI) researches, earlier neural signals have allowed researchers to reduce the time gap between a subject's real action and the BCI response. The aims of this study were to use pre-movement signals to predict motor tasks, and to decide whether the prefrontal area, which has been recognized as generating premovement signals that reflect motor intention or preparation, generates useful pre-movement signals. Six patients with intractable epilepsy participated in this study and performed self-paced hand grasping and elbow flexion while electrocortico-graphy (ECoG) was recorded. The electrodes that showed clear power differences in a specific frequency band between two different movements were chosen at a preparatory stage (−2.0 s to 0 s). The average value of the squared power of the signal sample was extracted for the feature. A support vector machine (SVM) was used as a classifier. A total of twelve electrodes differentiating hand grasping and elbow flexion were selected. Four electrodes were placed on the prefrontal area. The average prediction rate was 74% (range, 55.4 to 99.3%) across the six subjects. The successful prediction of movement intention indicates that the prefrontal area may generate useful premovement signals and implies that our approach could produce BCI response faster than a subject's real actions.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126676839","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
The beginning of neurohaptics: Controlling cognitive interaction via brain haptic interface 神经触觉学的开端:通过脑触觉界面控制认知互动
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506646
Jinuna An, S. Lee, S. Jin, B. Abibullaev, Gwanghee Jang, Jaehyun Ahn, Hyunju Lee, J. Moon
{"title":"The beginning of neurohaptics: Controlling cognitive interaction via brain haptic interface","authors":"Jinuna An, S. Lee, S. Jin, B. Abibullaev, Gwanghee Jang, Jaehyun Ahn, Hyunju Lee, J. Moon","doi":"10.1109/IWW-BCI.2013.6506646","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506646","url":null,"abstract":"This study showed an example of neurohaptic interface which can be the direct connector between haptics and brain. We investigated the neural activities of motion which are essential tasks for haptic interaction. Eating was adopted to explore the neural activities from the functional near-infrared spectroscopy (fNIRS) imaging. Subjects carried out real motion, action observation, and motor imagery. From this study we convinced that the action observation and motor imagery may create the similar neural activities to the active movement. In addition, we showed the feasibility of an fNIRS integrated brain haptic interaction based on the neural mechanism of action observation. Implications of this study suggested that the neurohaptics can play a more active role in realistic haptic interaction for the real applications including brain computer interface.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134085413","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: 14
Modified pattern-reversal visual checkerboard stimuli with dual alternating frequencies for multi-class ssvep-based brain-computer interfaces 基于ssvep的多类脑机接口的双交变频率改进模式反转视觉棋盘刺激
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506640
Changhee Han, Han-Jeong Hwang, C. Im
{"title":"Modified pattern-reversal visual checkerboard stimuli with dual alternating frequencies for multi-class ssvep-based brain-computer interfaces","authors":"Changhee Han, Han-Jeong Hwang, C. Im","doi":"10.1109/IWW-BCI.2013.6506640","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506640","url":null,"abstract":"In this study, a new dual-frequency stimulation method that can produce more visual stimuli with limited number of stimulation frequencies was proposed for use in multiclass SSVEP-based BCI systems. The new stimulation was based on a conventional black-white checkerboard pattern; however, unlike the conventional approach, ten visual stimuli could be generated by combining four different stimulation frequencies. Through the offline experiments, we confirmed that all ten visual stimuli could evoke distinct and discriminable single SSVEP peaks, of which the SNRs were high enough to be used for practical SSVEP-based BCI systems. In order to demonstrate the feasibility of the proposed method, a mental keypad system was implemented and online experiments were conducted with additional ten participants, from which we achieved an average information transfer rate of 33.26 bits per minute and an average accuracy of 87.23 %.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133023734","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
BMFLC with neural network and DE for better event classification BMFLC结合神经网络和DE进行更好的事件分类
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506621
Yubo Wang, V. Gonuguntla, G. Shafiq, K. Veluvolu
{"title":"BMFLC with neural network and DE for better event classification","authors":"Yubo Wang, V. Gonuguntla, G. Shafiq, K. Veluvolu","doi":"10.1109/IWW-BCI.2013.6506621","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506621","url":null,"abstract":"The event-related desynchronization(ERD) is a well known phenomenon that is commonly used for classification in brain-computer interface(BCI) applications. The classification accuracy of ERD based BCI can be improved by selection of subject-specific reactive band rather than complete μ-band. After obtaining time-frequency(TF) mapping of EEG signal with a Fourier based adaptive method, differential evolution(DE) is used for the identification of the reactive band. Compared to classical band-power based method, the proposed method based on subject-specific reactive band yields better accuracy with BCI competition dataset IV.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126937654","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
Estimation on the development of cerebral edema from computed tomography preliminary studies for pediatric traumatic brain injury patients 儿童外伤性脑损伤患者计算机断层扫描对脑水肿发展的初步研究
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506634
Hakseung Kim, Young-Tak Kim, Dong-Joo Kim
{"title":"Estimation on the development of cerebral edema from computed tomography preliminary studies for pediatric traumatic brain injury patients","authors":"Hakseung Kim, Young-Tak Kim, Dong-Joo Kim","doi":"10.1109/IWW-BCI.2013.6506634","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506634","url":null,"abstract":"Patients with traumatic brain injury need quick and accurate diagnosis. Interpreting computed tomography images is widely used for diagnosis, by detecting structural abnormalities on the images with human eyes. This conventional method may miss the subtle differences in radiodensity(defined as Hounsfield unit) of the images, and can result in failure of preventing secondary brain injuries, namely ischemia and edema. This study used computed tomography scans of 19 pediatric patients and 10 normal children to test whether the quantification of the radiodensity of images can detect ischemia and/or edema or not. The Hounsfield unit distributions of typical grey matter region did not show statistical differences between patients group and control group, but 84%(16) of patients group showed increase and change in overall Hounsfield unit between the initial and follow up imaging studies. The distribution of Hounsfield unit can be used as an effective tool for confirming the existence of cerebral edema.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128942079","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
A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS) 基于功能近红外光谱(fNIRS)的脑机接口(BCI)信息传输速率研究
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506620
Jaeyoung Shin, Sungyong Kang, Minkyu Sung, Joohwan Kim, Yongjung Kim, Ji-Hyun Kim, Jichai Jeong
{"title":"A study on information transfer rate by brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS)","authors":"Jaeyoung Shin, Sungyong Kang, Minkyu Sung, Joohwan Kim, Yongjung Kim, Ji-Hyun Kim, Jichai Jeong","doi":"10.1109/IWW-BCI.2013.6506620","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506620","url":null,"abstract":"We develop an 8-channel time domain functional near-infrared spectroscopy (fNIRS) system and measure concentration changes of hemoglobin during left/right arm lifting. Correlation-based signal improvement (CBSI) method is used to remove the effect of the head movement. We investigate the performances of the information transfer rate as a function of classification accuracy estimated by support vector machine. We achieve the information transfer rate in the range of 0.28~2.08 bits/min","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130437816","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
Brain-computer interface for stroke rehabilitation with clinical studies 脑机接口用于脑卒中康复的临床研究
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506607
Cuntai Guan
{"title":"Brain-computer interface for stroke rehabilitation with clinical studies","authors":"Cuntai Guan","doi":"10.1109/IWW-BCI.2013.6506607","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506607","url":null,"abstract":"Stroke is the leading cause of severe disabilities in the developed world. Each year, there are around 15 million new stroke cases worldwide. About 30% of stroke survivors need various forms of rehabilitation. Among these, upper limb weakness and loss of hand function are among the most devastating types of disabilities. Despite optimal acute medical treatment and modern rehabilitation, 45% of the patients do not achieve complete recovery of their bodily functions. In addition, 85% to 90% of stroke survivors with upper limb impairment do not regain full functional use of their upper extremities. Limitations in current physiotherapy and occupational therapy techniques include: (i) difficulties in rehabilitation for the severely paralyzed arm and hand which are often treated with passive modalities, (ii) difficulties in achieving intensive rehabilitation and high repetitions in those with moderate to severe upper extremity paralysis, (iii) problems in motivating and sustaining patient interest in repetitive exercises, (iv) therapy is often perceived to be boring due to lack of immediate biofeedback.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131796744","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: 8
Power consumption of wireless EEG device for BCI application: Portable EEG system for BCI 脑机接口无线脑电设备的功耗:脑机接口便携式脑电系统
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506645
Hoyeoul Park, B. Myung, S. Yoo
{"title":"Power consumption of wireless EEG device for BCI application: Portable EEG system for BCI","authors":"Hoyeoul Park, B. Myung, S. Yoo","doi":"10.1109/IWW-BCI.2013.6506645","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506645","url":null,"abstract":"Size, weight, and long-lasting battery lifetime are important factors to be considered in designing wireless, portable EEG device for brain-computer applications. Associated with those factors, particularly, the power consumption should be carefully managed and measured during the designing process of EEG device and uses in real operational environment. The designed experimental EEG device is composed of pre-amplifier part, micro-process part, data storage part and data transmission part. Different types of microprocessors, storage chips, and wireless communication chips can be changeable to each designed parts to measure the power consumption in terms of different designing conditions associated with different computational power, data sampling size, and wireless network environment. Throughout the diverse measurements using diverse part components, basic designing and operational conditions associated with power consumption are offered for movable, portable EEG applications.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133802954","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
Effects of rest frames on cybersickness and oscillatory brain activity 休息框架对晕机和振荡脑活动的影响
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506631
Eunhee Chang, I. Hwang, Hyeonjin Jeon, Yeseul Chun, H. Kim, Changhoon Park
{"title":"Effects of rest frames on cybersickness and oscillatory brain activity","authors":"Eunhee Chang, I. Hwang, Hyeonjin Jeon, Yeseul Chun, H. Kim, Changhoon Park","doi":"10.1109/IWW-BCI.2013.6506631","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506631","url":null,"abstract":"Cybersickness is an undesirable side effect, which occurs when people experience in a virtual environment (VE). A number of studies have tried to find ways to control cybersickness and some of them have demonstrated that presenting rest frames in VE might be one promising method to reduce cybersickness. This study investigates the effects of rest frames on cybersickness and the cybersickness-related brain activities. Participants (n=22) were exposed to a roller coaster simulator in a VE, both under a rest frame condition and a nonrest frame condition, in counter-balanced order while undergoing EEG recordings. Participants who experienced less cybersickness in the rest frame condition showed characteristic oscillations in different EEG frequency bands compared to those of in the nonrest frame condition. Based on the level of cybersickness and oscillatory EEG changes, we suggest that rest frames may reduce or delay the onset of cybersickness by alleviating users' attention or perception load.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114401392","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: 34
Learning Markov random field image prior for pixelation removal of fiber microscopy using sparse coding based on Bayesian framework 基于贝叶斯框架的稀疏编码学习光纤显微镜的马尔科夫随机场图像去像素化
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506639
C. Lee, Jae‐Ho Han
{"title":"Learning Markov random field image prior for pixelation removal of fiber microscopy using sparse coding based on Bayesian framework","authors":"C. Lee, Jae‐Ho Han","doi":"10.1109/IWW-BCI.2013.6506639","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506639","url":null,"abstract":"We were able to efficiently remove the morphological artifact of the fiber bundle based endo-microscopy and improve the featured patterns within the object image acquired by using non-invasive near infrared optical coherence tomography. Our image reconstruction methodology starts to estimate the original shape from the regions that are directly damaged from the en face image which contains significant image degradation by the pixelation of numerous imaging fiber units. Then we have iteratively extended the neighbor areas from the initial status so that we can successfully estimate the original shape of the missing pattern.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116493011","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
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