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논문KCI 등재

뇌파 기반 뇌-컴퓨터 인터페이스 기술의 소개

Introduction to EEG-Based Brain-Computer Interface (BCI) Technology

임창환
대한의용생체공학회 (The Korea Society Of Medical & Biological Engineering)|2010.02|의공학회지 (Journal of biomedical Engineering Research)|제31권 제1호|pp. 1-13

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참고문헌

키워드

RehabilitationBrain-Computer Interface (BCI)Electroencephalography (EEG)NeuroprosthesisBrain-machine interface (BMI)

초록

There are a great numbers of disabled individuals who cannot freely move or control specific parts of their body because of serious neurological diseases such as spinal cord injury, amyotrophic lateral sclerosis, brainstem stroke, and so on. Brain-computer interfaces (BCIs) can help them to drive and control external devices using only their brain activity, without the need for physical body movements. Over the past 30 years, several BCI research programs have arisen and tried to develop new communication and control technology for those who are completely paralyzed. Thanks to the rapid development of computer science and neuroimaging technology, new understandings of brain functions, and most importantly many researchers’ efforts, BCI is now becoming ‘practical’ to some extent. The present review article summarizes the current state of electroencephalogram (EEG)-based BCI, which have been being studied most widely, with specific emphasis on its basic concepts, system developments, and prospects for the future.

Abstract

There are a great numbers of disabled individuals who cannot freely move or control specific parts of their body because of serious neurological diseases such as spinal cord injury, amyotrophic lateral sclerosis, brainstem stroke, and so on. Brain-computer interfaces (BCIs) can help them to drive and control external devices using only their brain activity, without the need for physical body movements. Over the past 30 years, several BCI research programs have arisen and tried to develop new communication and control technology for those who are completely paralyzed. Thanks to the rapid development of computer science and neuroimaging technology, new understandings of brain functions, and most importantly many researchers’ efforts, BCI is now becoming ‘practical’ to some extent. The present review article summarizes the current state of electroencephalogram (EEG)-based BCI, which have been being studied most widely, with specific emphasis on its basic concepts, system developments, and prospects for the future.

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