The global incidence of Alzheimer's Disease(AD)is on a swift rise.The Electroencephalogram(EEG)signals is an effective tool for the identification of AD and its initial Mild Cognitive Impairment(MCI)stage using machin...
supported by the National Natural Science Foundation of China(Nos.62136004,62276130 and 62406131);the National Key R&D Program of China(No.2023YFF1204803);Key Research and Development Plan of Jiangsu Province,China(No.BE2022842).
Attention detection using electroencephalogram(EEG)signals has become a popular topic.However,there seems to be a notable gap in the literature regarding comprehensive and systematic reviews of machine learning method...
supported by grants from the Shanghai Municipal Health Commission(2023ZDFC0203);the National Natural Science Foundation of China(32171044).
General anesthesia,pivotal for surgical procedures,requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments.Traditional assessment methods,relyin...
Background Dissociative seizures(DS),also known as psychogenic non-epileptic seizures(PNES),often mimic epileptic seizures(ES),leading to misdiagnosis,unnecessary anti-seizure medications(ASMs)/suboptimal use of ASMs,...
supported by the Medium and Long-term Science and Technology Plan for Radio,Television,and Online Audiovisuals(2023AC0200);the Public Welfare Technology Application Research Project of Zhejiang Province,China(No.LGF21F010001).
Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of th...
supported by the National Natural Science Foundation of China (U19B2030, 61976167, 62301405, 62101416);the Natural Science Basic Research Program of Shaanxi, China (2022JQ-708);Fundamental Research Funds for the Central Universities, China.
Previous efforts to boost the performance of brain-computer interfaces (BCIs) have predominantly focused on optimizing algorithms for decoding brain signals. However, the untapped potential of leveraging brain plastic...
supported by the National Natural Science Foundation of China(Grant Nos.52308022,52278064).
This study aimed to investigate the impact of specific landscape elements on pedestrians’emotional experiences during walking.During the study,footages were recorded by participants while walking to obtain real-time ...
supported by the STI2030 Major Projects(2021ZD0204300);the National Natural Science Foundation of China(61803003,62003228).
Electroencephalography(EEG)is a non-invasive measurement method for brain activity.Due to its safety,high resolution,and hypersensitivity to dynamic changes in brain neural signals,EEG has aroused much interest in sci...
supported by grants from the National Key R&D Program of China(2022YFC2503802);Science and Technology Commission of Shanghai Municipality(201409002000);the Lin Gang Laboratory(LG202106-04).
Unlocking task-related EEG spectra is crucial for neuroscience.Traditional convolutional neural networks(CNNs)effectively extract these features but face limitations like overfitting due to small datasets.To address t...
supported by the National Key Research and Development Program of China(No.2022YFE0122700);the National Natural Science Foundation of China(No.61971230)。
Human emotions are intricate psychological phenomena that reflect an individual’s current physiological and psychological state.Emotions have a pronounced influence on human behavior,cognition,communication,and decis...