Empirical comparison of deep learning models for fNIRS pain decoding.

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Bibliographic Details
Title: Empirical comparison of deep learning models for fNIRS pain decoding.
Authors: Fernandez Rojas R; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia., Joseph C; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia., Bargshady G; Human-Centred Technology Research Centre, Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia., Ou KL; Department of Dentistry, Taipei Medical University Hospital, Taipei, Taiwan.; Department of Dentistry, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.; 3D Global Biotech Inc., New Taipei City, Taiwan.
Source: Frontiers in neuroinformatics [Front Neuroinform] 2024 Feb 14; Vol. 18, pp. 1320189. Date of Electronic Publication: 2024 Feb 14 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477957 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5196 (Print) Linking ISSN: 16625196 NLM ISO Abbreviation: Front Neuroinform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1662-5196
DOI:10.3389/fninf.2024.1320189