Fusion of Deep Features from 2D-DOST of fNIRS Signals for Subject-Independent Classification of Motor Execution Tasks

• Published in: International journal of intelligent systems Vol. 2023; no. 1
• Main Authors: Khani, Pouya, Solouk, Vahid, Kalbkhani, Hashem, Ahmadi, Farid
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2023; John Wiley & Sons, Inc
• Subjects: Accuracy; Artificial neural networks; Brain research; Classification; Data augmentation; Datasets; Decomposition; Deep learning; Discriminant analysis; Electroencephalography; Fourier transforms; Generative adversarial networks; Hemodynamic responses; Hemodynamics; Hemoglobin; Human-computer interface; Infrared spectra; Machine learning; Medical imaging; Near infrared radiation; Neural networks; Neurosciences; Signal classification; Signal processing; Support vector machines; Wavelet transforms

Functional near-infrared spectroscopy (fNIRS) is a low-cost and noninvasive method to measure the hemodynamic responses of cortical brain activities and has received great attention in brain-computer interface (BCI) applications. In this paper, we present a method based on deep learning and the time...