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Article
Artificial and convolutional neural networks for assessing functional connectivity in resting-state functional near infrared spectroscopy
  • Behboodi, Bahareh ; 
  • Lim, Sung-Ho ; 
  • Acevedo, Miguel Andres Luna ; 
  • Jeon, Hyeon-Ae ; 
  • Choi, Ji-Woong
  • 2019-06
  • Behboodi, Bahareh. (2019-06). Artificial and convolutional neural networks for assessing functional connectivity in resting-state functional near infrared spectroscopy. doi: 10.1177/0967033519836623
  • SAGE Publications Ltd
  • View : 690
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Convolutional Neural Network for Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface

Thesis
Convolutional Neural Network for Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface
  • Thanawin, Trakoolwilaiwan
  • 2017
  • Thanawin, Trakoolwilaiwan. (2017). Convolutional Neural Network for Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface. doi: 10.22677/thesis.2377910
  • DGIST
  • View : 950
  • Download : 293
Article
Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain-computer interface: Three-class classification of rest, right-, and left-hand motor execution
  • Trakoolwilaiwan, Thanawin ; 
  • Behboodi, Bahareh ; 
  • Lee, Jae Seok ; 
  • Kim, Kyung Soo ; 
  • Choi, Ji Woong
  • 2018-01
  • Trakoolwilaiwan, Thanawin. (2018-01). Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain-computer interface: Three-class classification of rest, right-, and left-hand motor execution. Neurophotonics, 5(1). doi: 10.1117/1.NPh.5.1.011008
  • SPIE
  • View : 693
  • Download : 0

Motion artifact correction of multi-measured functional near-infrared spectroscopy signals based on signal reconstruction using an artificial neural network

Article
Motion artifact correction of multi-measured functional near-infrared spectroscopy signals based on signal reconstruction using an artificial neural network
  • 2018-09
  • Lee, Gihyoun. (2018-09). Motion artifact correction of multi-measured functional near-infrared spectroscopy signals based on signal reconstruction using an artificial neural network. Sensors, 18(9), 1–16. doi: 10.3390/s18092957
  • Multidisciplinary Digital Publishing Institute (MDPI)
  • View : 903
  • Download : 97
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