fNIRS-QC : crowd-sourced creation of a dataset and machine learning model for fNIRS quality control

• المؤلفون الرئيسيون: Gabrieli, Giulio, Bizzego, Andrea, Neoh, Michelle Jin Yee, Esposito, Gianluca
• مؤلفون آخرون: School of Social Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Social sciences::Psychology::Experimental psychology; Science::Medicine::Computer applications; fNIRS; Machine Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/152897
• المؤسسة: Nanyang Technological University

Despite technological advancements in functional Near Infra-Red Spectroscopy (fNIRS) and a rise in the application of the fNIRS in neuroscience experimental designs, the processing of fNIRS data remains characterized by a high number of heterogeneous approaches, implicating the scientific reproducib...