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fNIRS Approach to Pain Assessment for Non-verbal Patients.

, , , and . ICONIP (4), volume 10637 of Lecture Notes in Computer Science, page 778-787. Springer, (2017)

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Exploring the use of optical flow for the study of functional NIRS signals., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 101372K. SPIE, (2017)Cortical activation investigation by optical flow and wavelet analysis using near-infrared spectroscopy., , and . BioRob, page 1307-1312. IEEE, (2016)Pain Assessment based on fNIRS using Bidirectional LSTMs., , , and . CoRR, (2020)Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study., , , , and . Sensors, 19 (2): 394 (2019)A Computational Investigation of an Active Region in Brain Network Based on Stimulations with Near-Infrared Spectroscopy., , , , and . ICONIP (2), volume 10635 of Lecture Notes in Computer Science, page 728-738. Springer, (2017)Novel Information Processing for Image De-noising Based on Sparse Basis., , , , and . ICONIP (3), volume 9491 of Lecture Notes in Computer Science, page 443-451. Springer, (2015)Research of a New Rf-assisted Device for Thermal Damage of the Liver., , , and . BIODEVICES, page 337-340. SciTePress, (2011)Pain Assessment based on fNIRS using Bi-LSTM RNNs., , , and . NER, page 399-402. IEEE, (2021)Physiological fluctuations show frequency-specific networks in fNIRS signals during resting state., , , and . EMBC, page 2550-2553. IEEE, (2017)fNIRS Approach to Pain Assessment for Non-verbal Patients., , , and . ICONIP (4), volume 10637 of Lecture Notes in Computer Science, page 778-787. Springer, (2017)