Accès ouvert
2026
article
OpenAlex
Jiedong Nan, Xuan Yang, Haoran Jiang, Chunyang Hong et autres
Abstract Objective . Central vertigo (CV) lacks objective electrophysiological measures for severity assessment and rehabilitation monitoring. We aimed to characterize multiscale resting-state EEG alterations and identify clinically interpretable candidate features in stroke-related CV. Approach . Resting-state EEG was analyzed in 50 patients …
cn, ch
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Zhipeng Yang, Haoran Jiang, Jiedong Nan, Chunyang Hong et autres
Abstract Visually induced motion sickness (VIMS) is characterized by symptoms such as nausea, disorientation, and oculomotor discomfort, arising from a visually induced illusionary sense of self‐motion. Although previous studies have produced inconsistent spectral findings, particularly in the alpha band, electroencephalogram (EEG) offers …
cn, ch
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Jiedong Nan, Yanru Bai, Haoran Jiang, Yuncheng Zhao et autres
Background/Objectives: Central vertigo (CV) lacks objective biomarkers for severity assessment. This study examined whether resting-state EEG microstate dynamics across frequency bands can distinguish CV severity. Methods: Resting-state EEG was recorded from 50 patients with stroke-related CV and 31 healthy controls. Patients were …
cn
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Jiedong Nan
While Long Short-Term Memory (LSTM) networks excel in handling time series data, Bayesian optimisation techniques offer significant advantages in tuning model parameters to adapt to variable matching conditions and data characteristics. In this study, by combining Bayesian optimisation with LSTM model, the …
cn
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Jiedong Nan
Electroencephalography (EEG), as an important EEG signal acquisition technique, is widely used in brain-computer interface (BCI) and other fields of research. EEG acquired in the motion state introduces a large number of motion artifacts, which leads to the degradation of EEG quality, …
cn
(code pays fourni par la source)
2023
conference-paper
OpenAlex
Jiedong Nan
The Back Propagation (BP) neural network is commonly used for predicting nonlinear problems. However, this model is known to converge slowly and is prone to local optimisations. To address this issue, using a population intelligence optimisation algorithm to optimise the structure of …
cn
(code pays fourni par la source)