- Illiteracy of Brain-Computer Interface
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Chung BS
- KMID: 2461872
- J Korean Med Sci.
- 2019 Nov;34(43):e281.
- doi: 10.3346/jkms.2019.34.e281
No abstract available. -
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- Basics of Electroencephalography for Neuropsychiatrist
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Eun HJ
- KMID: 2449052
- J Korean Neuropsychiatr Assoc.
- 2019 May;58(2):76-104.
- doi: 10.4306/jknpa.2019.58.2.76
In 1924, Hans Berger, a German psychiatrist, recorded the brain waves from a human brain for the first time. Many advances have been made in this field since then. Currently,... -
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- Brain-machine Interface in Robot-assisted Neurorehabilitation for Patients with Stroke and Upper Extremity Weakness – the Therapeutic Turning Point
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Kim JH
- KMID: 2353418
- Brain Neurorehabil.
- 2016 Sep;9(2):e5.
- doi: 10.12786/bn.2016.9.e5
Activity and participation after stroke can be increased by neurorehabilitation of upper extremity. As the technology advances, a robot-assisted restorative therapy with/without a brain-machine interface (BMI) is suggested as a... -
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- Experimental Set Up of P300 Based Brain Computer Interface Using a Bioamplifier and BCI2000 System for Patients with Spinal Cord Injury
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Jeon H, Shin DA
- KMID: 2288331
- Korean J Spine.
- 2015 Sep;12(3):119-123.
- doi: 10.14245/kjs.2015.12.3.119
OBJECTIVE: Brain computer interface (BCI) is one of the most promising technologies for helping people with neurological disorders. Most current BCI systems are relatively expensive and difficult to set up.... -
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- Decoding Saccadic Directions Using Epidural ECoG in Non-Human Primates
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Lee J, Choi H, Lee S, Cho BH, Ahn KH, Kim IY, Lee KM, Jang DP
- KMID: 2439456
- J Korean Med Sci.
- 2017 Aug;32(8):1243-1250.
- doi: 10.3346/jkms.2017.32.8.1243
A brain-computer interface (BCI) can be used to restore some communication as an alternative interface for patients suffering from locked-in syndrome. However, most BCI systems are based on SSVEP, P300,... -
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- Real-time One-dimensional Brain-Computer Interface (BCI) Using Prefrontal Cortex Neuronal Activities of Rats
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Lang YR, Lee H, Shin HC
- KMID: 2165302
- Exp Neurobiol.
- 2009 Dec;18(2):97-111.
- doi: 10.5607/en.2009.18.2.97
The aim of this study is to verify the feasibility of control of one-dimensional (1-D) rotating machine using neural activities of Prefrontal cortex (PFC) in a BCI system. In this... -
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- Implantable Neural Probes for Brain-Machine Interfaces – Current Developments and Future Prospects
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Choi JR, Kim SM, Ryu RH, Kim SP, Sohn JW
- KMID: 2430105
- Exp Neurobiol.
- 2018 Dec;27(6):453-471.
- doi: 10.5607/en.2018.27.6.453
A Brain-Machine interface (BMI) allows for direct communication between the brain and machines. Neural probes for recording neural signals are among the essential components of a BMI system. In this... -
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- Flickering exercise video produces mirror neuron system (MNS) activation and steady state visually evoked potentials (SSVEPs)
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Lim H, Ku J
- KMID: 2397928
- Biomed Eng Lett.
- 2017 Nov;7(4):281-286.
- doi: 10.1007/s13534-017-0035-2
The action of observing can be used as an effective rehabilitation paradigm, because it activates the mirror neuron system. However, it is difficult to fully use this paradigm because it... -
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- Classification of BMI Control Commands Using Extreme Learning Machine from Spike Trains of Simultaneously Recorded 34 CA1 Single Neural Signals
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Lee Y, Lee H, Lang Y, Kim J, Lee M, Shin HC
- KMID: 2165280
- Exp Neurobiol.
- 2008 Dec;17(2):33-39.
- doi: 10.5607/en.2008.17.2.33
A recently developed machine learning algorithm referred to as Extreme Learning Machine (ELM) was used to classify machine control commands out of time series of spike trains of ensembles of... -
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- In vivo Performance Evaluation of Implantable Wireless Neural Signal Transmission System for Brain Machine Interface
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Lee HJ, Nyamdorj S, Shin HC, Ahn JM
- KMID: 2165306
- Exp Neurobiol.
- 2009 Dec;18(2):137-145.
- doi: 10.5607/en.2009.18.2.137
A brain-machine interface (BMI) has recently been introduced to research a reliable control of machine from the brain information processing through single neural spikes in motor brain areas for paralyzed... -
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