Xianglong Wan
Overview
Explore the profile of Xianglong Wan including associated specialties, affiliations and a list of published articles.
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Articles
13
Citations
17
Followers
0
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Recent Articles
1.
Wan X, Sun Y, Yao Y, Wan Hasan W, Wen D
Bioengineering (Basel)
. 2025 Jan;
12(1).
PMID: 39851299
With the aging population rising, the decline in spatial cognitive ability has become a critical issue affecting the quality of life among the elderly. Electroencephalogram (EEG) signal analysis presents substantial...
2.
Wang Y, Zhang K, Yu H, Wan X, Liu T, Li D, et al.
Front Aging Neurosci
. 2025 Jan;
16:1498821.
PMID: 39744520
No abstract available.
3.
Wan X, Xing S, Zhang Y, Duan D, Liu T, Li D, et al.
Front Neurosci
. 2024 Dec;
18:1476730.
PMID: 39697780
No abstract available.
4.
Xie X, Shi R, Yu H, Wan X, Liu T, Duan D, et al.
Front Neurosci
. 2024 May;
18:1377097.
PMID: 38808030
No abstract available.
5.
Wan X, Zhang Y, Liu T, Li D, Yu H, Wen D
Front Aging Neurosci
. 2024 Apr;
16:1373273.
PMID: 38659707
No abstract available.
6.
Duan D, Wu Z, Zhou Y, Wan X, Wen D
Front Hum Neurosci
. 2023 Nov;
17:1291983.
PMID: 37941569
No abstract available.
7.
Wen D, Yuan J, Li J, Sun Y, Wang X, Shi R, et al.
IEEE Trans Neural Syst Rehabil Eng
. 2023 Jun;
31:2705-2714.
PMID: 37279134
The field of spatial cognitive training and evaluation has rapidly evolved. However, the low learning motivation and engagement of the subjects hinder the widespread use of spatial cognitive training. This...
8.
Wen D, Liang B, Li J, Wu L, Wan X, Dong X, et al.
IEEE Trans Neural Syst Rehabil Eng
. 2023 May;
31:2370-2380.
PMID: 37141070
In order to improve the traditional common space pattern (CSP) algorithm pattern in EEG feature extraction, this study proposes a feature extraction method of EEG signals based on permutation conditional...
9.
Wen D, Pang Z, Wan X, Li J, Dong X, Zhou Y
Front Neurosci
. 2023 Mar;
17:1153060.
PMID: 36968485
No abstract available.
10.
Wen D, Li R, Tang H, Liu Y, Wan X, Dong X, et al.
IEEE Trans Neural Syst Rehabil Eng
. 2022 Apr;
30:1041-1051.
PMID: 35404820
In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method for spatial cognitive ability assessment was proposed, aiming at achieving the binary classification of task-state EEG signals before...