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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 11 of 11

Article
An efficient GP approach to recognizing cognitive tasks from fNIRS neural signals
  • 2013-10
  • An, Jin Ung. (2013-10). An efficient GP approach to recognizing cognitive tasks from fNIRS neural signals. doi: 10.1007/s11432-013-5001-8
  • SCIENCE PRESS
  • View : 645
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Article
Application of Functional Near-Infrared Spectroscopy to the Study of Brain Function in Humans and Animal Models
  • Kim, Hak-Yeong ; 
  • Seo, Kain ; 
  • Jeon, Hong-Jin ; 
  • Lee, Un-Joo ; 
  • Lee, Hyosang
  • 2017-08
  • Kim, Hak-Yeong. (2017-08). Application of Functional Near-Infrared Spectroscopy to the Study of Brain Function in Humans and Animal Models. doi: 10.14348/molcells.2017.0153
  • 한국분자세포생물학회
  • View : 1010
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Article
Cerebral hemodynamics predicts the cortical area and coding scheme in the human brain for force generation by wrist muscles
  • 2021-01
  • Kim, Hojeong. (2021-01). Cerebral hemodynamics predicts the cortical area and coding scheme in the human brain for force generation by wrist muscles. doi: 10.1016/j.bbr.2020.112865
  • Elsevier B.V.
  • View : 780
  • Download : 0

Cortical activation pattern during shoulder simple versus vibration exercises: a functional near infrared spectroscopy study

Article
Cortical activation pattern during shoulder simple versus vibration exercises: a functional near infrared spectroscopy study
  • Jang, Sung Ho ; 
  • Yeo, Sang Seok ; 
  • Lee, Seung Hyun ; 
  • Jin, Sang Hyun ; 
  • Lee, Mi Young
  • 2017-08
  • Neural Regeneration Research, v.12, no.8, pp.1294 - 1298
  • Neural Regeneration Research
  • View : 736
  • Download : 68
Article
Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy
  • 2023-11
  • Kim, Hojeong. (2023-11). Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy. BMC Research Notes, 16(1). doi: 10.1186/s13104-023-06588-5
  • BioMed Central Ltd
  • View : 241
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Article
EFRM: A Multimodal EEG–fNIRS Representation-learning Model for few-shot brain-signal classification
  • 2025-12
  • Computers in Biology and Medicine, v.199
  • Elsevier
  • View : 21
  • Download : 0
Article
Entropy Could Quantify Brain Activation Induced by Mechanical Impedance-Restrained Active Arm Motion: A Functional NIRS Study
  • Yu, Byeonggi ; 
  • Jang, Sung-Ho ; 
  • Chang, Pyung-Hun
  • 2022-04
  • Yu, Byeonggi. (2022-04). Entropy Could Quantify Brain Activation Induced by Mechanical Impedance-Restrained Active Arm Motion: A Functional NIRS Study. Entropy, 24(4). doi: 10.3390/e24040556
  • Multidisciplinary Digital Publishing Institute (MDPI)
  • View : 345
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Article
MRI data-driven functional near-infrared spectroscopy mapping method for conforming functional hemodynamic neural activity to structural cortical information
  • Lee, Seung Hyun ; 
  • An, Jinung ; 
  • Jin, Sang Hyeon ; 
  • Jang, Gwanghee ; 
  • Lee, So-Young ; 
  • Kim, Myoung Nam ; 
  • Kim, Eun Joo
  • 2017-09
  • Lee, Seung Hyun. (2017-09). MRI data-driven functional near-infrared spectroscopy mapping method for conforming functional hemodynamic neural activity to structural cortical information. Journal of Medical Imaging and Health Informatics, 7(5), 1063–1069. doi: 10.1166/jmihi.2017.2138
  • American Scientific Publishers
  • View : 1018
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Article
There is No test-retest reliability of brain activation induced by robotic passive hand movement: A functional NIRS study
  • Bae, Sung Jin ; 
  • Lee, Yonghee ; 
  • Chang, Pyung-Hun
  • 2020-10
  • Bae, Sung Jin. (2020-10). There is No test-retest reliability of brain activation induced by robotic passive hand movement: A functional NIRS study. Brain and Behavior, 10(10), e01788. doi: 10.1002/brb3.1788
  • John Wiley and Sons Inc.
  • View : 555
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Thesis
Transformer-based Explainable Artificial Intelligence (XAI) for the Classification of Brain fNIRS Signals
  • Jim Knebel
  • 2023
  • Jim Knebel. (2023). Transformer-based Explainable Artificial Intelligence (XAI) for the Classification of Brain fNIRS Signals. doi: 10.22677/THESIS.200000658414
  • DGIST
  • View : 328
  • Download : 0

Validating attentive locomotion training using interactive treadmill: an fNIRS study

Article
Validating attentive locomotion training using interactive treadmill: an fNIRS study
  • Oh, Seunghue ; 
  • Song, Minsu ; 
  • Kim, Jonghyun
  • 2018-12
  • Oh, Seunghue. (2018-12). Validating attentive locomotion training using interactive treadmill: an fNIRS study. Journal of NeuroEngineering and Rehabilitation, 15(1). doi: 10.1186/s12984-018-0472-x
  • BioMed Central
  • View : 725
  • Download : 114
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