Brain-Computer Interfaces最新文献_第7页

Identifying the Attended Speaker Using Electrocorticographic (ECoG) Signals. 使用皮质电图(ECoG)信号识别出席的演讲者。

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-08-26 DOI: 10.1080/2326263X.2015.1063363

K. Dijkstra, P. Brunner, A. Gunduz, W. Coon, A. Ritaccio, J. Farquhar, G. Schalk

{"title":"Identifying the Attended Speaker Using Electrocorticographic (ECoG) Signals.","authors":"K. Dijkstra, P. Brunner, A. Gunduz, W. Coon, A. Ritaccio, J. Farquhar, G. Schalk","doi":"10.1080/2326263X.2015.1063363","DOIUrl":"https://doi.org/10.1080/2326263X.2015.1063363","url":null,"abstract":"People affected by severe neuro-degenerative diseases (e.g., late-stage amyotrophic lateral sclerosis (ALS) or locked-in syndrome) eventually lose all muscular control. Thus, they cannot use traditional assistive communication devices that depend on muscle control, or brain-computer interfaces (BCIs) that depend on the ability to control gaze. While auditory and tactile BCIs can provide communication to such individuals, their use typically entails an artificial mapping between the stimulus and the communication intent. This makes these BCIs difficult to learn and use. In this study, we investigated the use of selective auditory attention to natural speech as an avenue for BCI communication. In this approach, the user communicates by directing his/her attention to one of two simultaneously presented speakers. We used electrocorticographic (ECoG) signals in the gamma band (70-170 Hz) to infer the identity of attended speaker, thereby removing the need to learn such an artificial mapping. Our results from twelve human subjects show that a single cortical location over superior temporal gyrus or pre-motor cortex is typically sufficient to identify the attended speaker within 10 s and with 77% accuracy (50% accuracy due to chance). These results lay the groundwork for future studies that may determine the real-time performance of BCIs based on selective auditory attention to speech.","PeriodicalId":45112,"journal":{"name":"Brain-Computer Interfaces","volume":"47 1","pages":"161-173"},"PeriodicalIF":2.1,"publicationDate":"2015-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73776057","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: 26

Mood Recognition System Using EEG Signal of Song Induced Activities 基于脑电信号的情绪识别系统

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_13

R. Deore, S. Mehrotra

引用次数: 0

Competing and Collaborating Brains: Multi-brain Computer Interfacing 竞争与合作的大脑:多脑计算机接口

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_12

A. Nijholt

引用次数: 31

Translational Algorithms: The Heart of a Brain Computer Interface 翻译算法:脑机接口的核心

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_4

Harsimrat Singh, I. Daly

引用次数: 4

EEG Based Brain Computer Interface for Speech Communication: Principles and Applications 基于脑电图的语音通信脑机接口:原理与应用

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_10

Kusuma Mohanchandra, Snehanshu Saha, G. Lingaraju

引用次数: 23

Simultaneous and independent control of a brain-computer interface and contralateral limb movement. 脑机接口和对侧肢体运动的同时和独立控制。

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 Epub Date: 2015-09-14 DOI: 10.1080/2326263X.2015.1080961

Ivana Milovanovic, Robert Robinson, Eberhard E Fetz, Chet T Moritz

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引用次数: 18

A Configurable, Inexpensive, Portable, Multi-channel, Multi-frequency, Multi-chromatic RGB LED System for SSVEP Stimulation 一种可配置，廉价，便携，多通道，多频率，多色RGB LED系统，用于SSVEP刺激

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_9

Surej Mouli, R. Palaniappan, I. Sillitoe

引用次数: 9

Web-Based Intelligent EEG Signal Authentication and Tamper Detection System for Secure Telemonitoring 基于web的安全远程监控智能脑电信号认证与篡改检测系统

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_11

Aniruddha Mukherjee, Goutami Dey, M. Dey, N. Dey

引用次数: 18

Advanced fMRI and the Brain Computer Interface 高级功能磁共振成像与脑机接口

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_7

M. Paley, S. Kaka, Heather Hilliard, A. Zaytsev, A. Bucur, S. Reynolds, W. Liu, E. Milne, G. Cook

引用次数: 1

Digit Recognition System Using EEG Signal 基于脑电信号的数字识别系统

IF 2.1

Brain-Computer Interfaces Pub Date : 2015-01-01 DOI: 10.1007/978-3-319-10978-7_14

R. Deore, B. Gawali, S. Mehrotra

引用次数: 1