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检索条件"主题词=Brain-Computer Interface"

共 3602 条记录，以下是61-70 订阅

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brain-computer interface systems: why a standard model is essential On BCI Standards

Brain-Computer Interface systems: why a standard model is es...

引用

IEEE Life Sciences Conference (LSC)

作者： Bianchi, Luigi Tor Vergata Univ Dipartimento Ingn Civile & Ingn Informat Rome Italy

ISBN: (纸本)9781538667095

brain-computer interfaces have gained a large interest in several research fields in a relatively short time. This has led to different ways to describe and analyze systems making their comparison very difficult. Moreover, sharing data, methods and tools is difficult because standard file formats are still missing. Here some of the advantages coming from the definition of a standard model are reported together with the proposal of a roadmap aimed at achieving this goal with a minimal effort from the scientific community.

关键词： brain-computer interface standards models metrics file formats

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brain-computer interface: frequency domain approach using the linear and the quadratic discriminant analysis

Brain-computer interface: frequency domain approach using th...

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1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

作者： Omar, Trigui Wassim, Zouch Mohamed, Ben Messaoud Sfax Univ Adv Technol Med & Signals ATMS ENIS Sfax Tunisia King Abdulaziz Univ KAU Jeddah Jeddah Saudi Arabia

ISBN: (纸本)9781479948888

brain-computer interface (BCI) offers solutions for those with severe neuromuscular disorder. Indeed, it provides new non-muscular channel to control external devices. The aim of this work is to increase the classification accuracy rate using the suitable system parameters and methods. In this present study Welch's method for power spectral density (PSD) estimation has been used for features extraction followed by two different classification methods (Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)). The task was to think about right and left hand movement. A study of the influence of the flowing parameters was performed: frequency bands, predictive features, and classification method. The results show that the most significant increase takes place by improving the PSD estimation. Selecting the specific frequency bands of each cortical area provides also an important improvement. Finally the use of the suitable classifier is essential to attain optimal performances.

关键词： electroencephalogram brain-computer interface linear discriminant analysis quadratic discriminant analysis principal component analysis

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brain-computer interface: An Experimental Analysis of Performance Measurement

Brain-Computer Interface: An Experimental Analysis of Perfor...

引用

Annual IEEE SoutheastCon Conference

作者： North, Sarah Young, Kyle Hamilton, Matthew Kim, Jinmyeong Zhao, Xuan North, Max Cronnon, Evelyn Kennesaw State Univ Dept Comp Sci Coll Comp & Software Engn Kennesaw GA 30144 USA Kennesaw State Univ Coles Coll Business Informat Syst Dept Kennesaw GA 30144 USA

ISBN: (纸本)9781728168616

brain-computer interface (BCI) research and applications are radically progressing in a variety of fields and are appearing in products used by general consumers. As BCI becomes more prevalent, it is important to explore the array of human traits that may predict an individual's performance when using BCI technologies. This exploration designed and implemented and experiment, collecting and analyzing the data of (n=51) participants. Participants' performances were measured while manipulating a three-dimensional graphical object inside the Emotiv Xavier Control Panel Software, using the Emotiv EPOC+ non-invasive BCI headset. The measurements were interrelated to the participants' ability to control the BCI and contributed to the correlation among a variety of traits, including brain hemispheric dominance and Myers-Briggs personality type indicator. In essence, the experiment explored the correlations between performance and demographics. Inclusively, all demographics' performances were comparable, with low to no correlation between traits and performance;however, certain demographics performed on the extreme high and low ends of the spectrum. The preliminary results assert that a combination of human traits is being turned on and off in these individuals while using BCI technologies, affecting their performance. Ultimately, this type of exploratory experiment provides developers knowledge of the demographics that might benefit most from the BCI technologies, furthering insight on design and development strategies.

关键词： brain-computer interface User interface brain-Controlled interface Mental-Controlled Commands Myers-Briggs Type Indicator EPOC brain Hemispheric Dominance

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brain-computer interface Review 12

Brain-Computer Interface Review

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12th IEEE International Symposium on Electronics and Telecommunications (ISETC)

作者： Bularka, Szilrd Gontean, Aurel Univ Politehn Timisoara Dept Appl Elect Timisoara Romania

ISBN: (纸本)9781509037483

brain-computer interface (BCI) is a device that allows direct communication path between central nervous system and external devices without peripheral nerves dependency. brain-computer interface and its applications reached beyond medical applications, it is used to enhance, improve, restore or replace functions or it can be used as a research tool. Stakeholders of the field have developed future plans and the ethical in research. the multidisciplinary nature of brain-computer interface is based on neuroscience, signal processing, biomedical sensors, and hardware. This paper aims to present briefly the current state and the future of brain-computer interfaces. The future works of the author are based on hardware approach using System-On-Chip combined with novelty memristor crossbar memory, which can be used to emulate axons and neurons directly in the hardware.

关键词： brain-computer interface BCI state of the art BCI applications neuroscience computational neuroscience

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brain-computer interface on the Basis of EEG System "Encephalan"

Brain-Computer Interface on the Basis of EEG System "Encepha...

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Saratov Fall Meeting (SFM) on Laser Physics and Photonics XVIII;and Computational Biophysics and Analysis of Biomedical Data IV / 5th International Symposium on Optics and Biophotonics

作者： Maksimenko, Vladimir Badarin, Artem Nedaivozov, Vladimir Kirsanov, Daniil Hramov, Alexander Yurij Gagarin State Tech Univ Saratov REC Artificial Intelligence Syst & Neurotechnol Politech Skaya Str 77 Saratov 410056 Russia

ISBN: (数字)9781510620049

ISBN: (纸本)9781510620049

We have proposed brain-computer interface (BCI) for the estimation of the brain response on the presented visual tasks. Proposed BCI is based on the EEG recorder Encephalan-EEGR-19/26 (Medicom MTD, Russia) supplemented by a special home-made developed acquisition software. BCI is tested during experimental session while subject is perceiving the bistable visual stimuli and classifying them according to the interpretation. We have subjected the participant to the different external conditions and observed the significant decrease in the response, associated with the perceiving the bistable visual stimuli, during the presence of distraction. Based on the obtained results we have proposed possibility to use of BCI for estimation of the human alertness during solving the tasks required substantial visual attention.

关键词： Electroencephalogram continuous wavelet analysis brain-computer interface concentration of attention

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brain-computer interface AND FUNCTIONAL ELECTRICAL STIMULATION FOR UPPER LIMB REHABILITATION AFTER STROKE 5

BRAIN-COMPUTER INTERFACE AND FUNCTIONAL ELECTRICAL STIMULATI...

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5th IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Marquez-Chin, Cesar Marquis, Aaron Desai, Naaz Lo, Lorna Zivanovic, Vera Popovic, Milos R. Univ Hlth Network Toronto Rehabil Inst Toronto ON Canada Univ Toronto Rehabil Engn Lab Inst Biomat & Biomed Engn Toronto ON Canada

ISBN: (纸本)9781509059904

We present a case report consisting of a 64-year old man with chronic severe left hemiplegia who received an intervention to restore reaching movements using a brain-computer interface combined with functional electrical stimulation therapy. The brain-computer interface was designed to be triggered by power decreases in the beta (13 Hz to 30 Hz) frequency range of a single EEG channel at location Fz of the 10-20 electrode placement system. The electrical stimulation system was designed to facilitate reaching forward, to the opposite (right) knee, opposite shoulder, mouth, and also lateral reaching. Each phase of the movement (i.e., reaching and retrieving) was activated by the brain-computer interface. After 40 90-minute sessions, delivered three times a week, the participant's arm function showed a clinically meaningful improvement (6 points in the Fugl-Meyer Assessment Upper Extremity sub-score). No other intervention completed by the participant prior to this study had produced any functional change.

关键词： brain-computer interface functional electrical stimulation stroke rehabilitation

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brain-computer interface using Directional Auditory Perception 23

Brain-Computer Interface using Directional Auditory Percepti...

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4th Augmented Humans International Conference (AHs)

作者： Koike, Yuto Hiroi, Yuichi Itoh, Yuta Rekimoto, Jun Univ Tokyo Tokyo Japan Univ Tokyo RIKEN AIP Tokyo Japan Univ Tokyo Sony CSL Kyoto Tokyo Kyoto Japan

ISBN: (纸本)9781450399845

We investigate the potential of brain-computer interface (BCI) using electroencephalogram (EEG) induced by listening (or recalling) auditory stimuli of different directions. In the initial attempt, we apply a time series classification model based on deep learning to the EEG to demonstrate whether each EEG can be classified by recognizing binary (left or right) auditory directions. The results showed high classification accuracy when trained and tested on the same users. Discussion is provided to further explore this topic.

关键词： brain-computer interface BCI brain-machine interface BMI Electroencephalography Electroencephalogram EEG Directional Auditory Sensation

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brain-computer interface for Novice Programmers 18

Brain-Computer Interface for Novice Programmers

引用

49th ACM SIGCSE Technical Symposium on computer Science Education (SIGCSE)

作者： Crawford, Chris S. Gardner-McCune, Christina Gilbert, Juan E. Univ Alabama Dept Comp Sci Tuscaloosa AL 35487 USA Univ Florida Dept Comp & Informat Sci & Engn Gainesville FL USA

ISBN: (纸本)9781450351034

As CS + X courses become more common, it is important for us to investigate ways to leverage interdisciplinary learning tools to expand the types of experiences available to students. This paper discusses our experiences introducing CS undergraduates to basic brain-computer interface (BCI) concepts using NeuroBlock. Neuroblock is a visual programming environment that allows users to build applications driven by near-real-time neurophysiological (i.e., brainwaves) data. brainwave data is captured using a commercial-grade BCI device. Students use brainwave data from the BCI device to create interactive hybrid-BCI applications (e.g., games) featuring objects that respond to students' affective states (e.g. engagement, relaxation, and attention) and keyboard events. In this paper, we describe NeuroBlock, three example activities, and results from an exploratory empirical study that suggests exposure to NeuroBlock increased students' confidence in their ability to develop applications that leverage neurophysiological signals. NeuroBlock and the discussed activities have the potential to supplement future CS + X courses by providing students hands on experiences with emerging physiological devices.

关键词： brain-computer interface Block-Based Programming Neurofeedback

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brain-computer interface based on detection of movement intention as a means of brain wave modulation enhancement 13

Brain-computer interface based on detection of movement inte...

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13th International Conference on Medical Information Processing and Analysis

作者： Pulido Castro, Sergio D. Lopez Lopez, Juan M. Escuela Colombiana Ingn Julio Garavito Biomed Engn Program Ave Carrera 45 N 205-59 Bogota 111166000 Colombia Univ Rosario Biomed Engn Program Carrera 24 63C-69 Bogota 111221 Colombia

ISBN: (数字)9781510616349

ISBN: (纸本)9781510616349

Movement intention (MI) is the mental state in which it is desired to make an action that implies movement. There are certain signals that are directly related with MI;mainly obtained in the primary motor cortex. These signals can be used in a brain-computer interface (BCI). BCIs have a wide variety of applications for the general population, classified in two groups: optimization of conventional neuromuscular performances and enhancement of conventional neuromuscular performances beyond normal capacities. The main goal of this project is to analyze if neural rhythm modulation enhancement could be achieved by practicing, through a BCI based on MI detection, which was designed in a previous study. A six-session experiment was made with eight healthy subjects. Each session was composed by two stages: a training stage and a testing stage, which allowed control of a videogame. The scores in the game were recorded and analyzed. Changes in alpha and beta bands were also analyzed in order to observe if attention could in fact be enhanced. The obtained results were partially satisfactory, as most subjects showed a clear improvement in performance at some point in the trials. As well, the alpha to beta wave ratio of all the tasks was analyzed to observe if there are changes as the experiment progresses. The results are promising, and a different protocol must be implemented to assess the impact of the BCI on the attention span, which can be analyzed with the alpha and beta waves.

关键词： Movement intention brain-computer interface brain wave modulation

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brain-computer interface Using Ambisonics-reproduced Dynamic Sound Image Effects 7

Brain-computer Interface Using Ambisonics-reproduced Dynamic...

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Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)

作者： Hieronymus, Bertrand Mori, Hiromu Rutkowski, Tomasz M. Univ Tsukuba Life Sci Ctr TARA Tsukuba Ibaraki Japan Univ Technol Belfort Montbelliard Dept Comp Sci Belfort France RIKEN Brain Sci Inst Wako Saitama Japan

ISBN: (纸本)9781479959556

In this paper, we present an attempt to improve EEG event related potential (ERP) responses with an ambisonic environment for a dynamic-sound spatial auditory brain-computer interface (BCI) paradigm, which is based on moving in an auditory space sound images. We present results obtained from the both psychophysical and EEG online BCI experiments with the proposed dynamic spatial sound. The results are validated based on the five user brainwave analyses. The online classification of the P300 response proves the reliability of the proposed method and it confirms advantages of such system compared to the state-of-the art auditory static sound-based spatial auditory BCI paradigms.

关键词： audio user interfaces bioelectric potentials brain-computer interfaces electroencephalography medical signal processing signal classification EEG ERP responses EEG event related potential P300 response online classification ambisonics-reproduced dynamic sound image effects auditory space sound images brain-computer interface dynamic-sound spatial auditory BCI psychophysical experiment user brainwave analyses Accuracy Electrodes Electroencephalography Head Loudspeakers Standards Time factors

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