An advance in novel intelligent sensory technologies: From an implicit‐tracking perspective of food perception

Q Zhao, Z Ye, Y Deng, J Chen, J Chen… - … Reviews in Food …, 2024 - Wiley Online Library
Food sensory evaluation mainly includes explicit and implicit measurement methods. Implicit
measures of consumer perception are gaining significant attention in food sensory and …

[HTML][HTML] From bench to bedside: Overview of magnetoencephalography in basic principle, signal processing, source localization and clinical applications

Y Yang, S Luo, W Wang, X Gao, X Yao, T Wu - NeuroImage: Clinical, 2024 - Elsevier
Magnetoencephalography (MEG) is a non-invasive technique that can precisely capture the
dynamic spatiotemporal patterns of the brain by measuring the magnetic fields arising from …

Classification algorithm for fNIRS-based brain signals using convolutional neural network with spatiotemporal feature extraction mechanism

Y Qin, B Li, W Wang, X Shi, C Peng, Y Lu - Neuroscience, 2024 - Elsevier
Abstract Brain Computer Interface (BCI) is a highly promising human–computer interaction
method that can utilize brain signals to control external devices. BCI based on functional …

Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition

K Shao, R Wang, Y Hao, L Hu, M Chen - arXiv preprint arXiv:2406.16968, 2024 - arxiv.org
Depression recognition based on physiological signals such as functional near-infrared
spectroscopy (fNIRS) and electroencephalogram (EEG) has made considerable progress …

Evaluating Wavelet Analysis in the Estimation of Network Congestion with Time Series Analysis

S Gupta, M Agarwal - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Wavelet analysis is an effective manner to estimate community congestion based on time
collection analysis. Wavelet evaluation is an effective sign-processing method that can …