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Mingkan Shen
Observed name:
Shen, Mingkan
Institutions:
The University of Queensland,
University of Southern Queensland,
Mater Research
Observed institutions:
The University of Queensland,
University of Southern Queensland,
Mater Research
ORCID:
0000-0002-6770-4366
Observed ORCID:
0000-0002-6770-4366
OpenAlex ID:
A5080497682
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods
2022
·
Mingkan Shen
, Peng Wen
, et al.
·
Biomedical Signal Processing and Control
·
123
Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network
2023
·
Mingkan Shen
, Peng Wen
, et al.
·
Biomedical Signal Processing and Control
·
70
A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network
2024
·
Mingkan Shen
, Fuwen Yang
, et al.
·
Heliyon
·
46
Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network
2023
·
Mingkan Shen
, Peng Wen
, et al.
·
Computers in Biology and Medicine
·
40
3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network
2023
·
Mingkan Shen
, Peng Wen
, et al.
·
Biomedical Signal Processing and Control
·
29
Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks
2022
·
Mingkan Shen
, Peng Wen
, et al.
·
Biomedical Signal Processing and Control
·
26
Muti-band Morlet mutual information functional connectivity for classifying Alzheimer's disease and frontotemporal dementia with a deep learning technique
2025
·
Mingkan Shen
, Peng Wen
, et al.
·
Computers in Biology and Medicine
·
3
Graph theoretical analysis based on EEG effective connectivity in ADHD children
2021
·
Mingkan Shen
, Paul Wen
, et al.
·
Research Square
·
2
PDF
ADHD Children Identification Based on EEG Using Effective Connectivity Techniques
2021
·
Mingkan Shen
, Peng Wen
, et al.
·
Lecture notes in computer science
·
2
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Works count:
10
Citation count:
341
H-index:
6
I10-index:
6
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