Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Lan Zhuang

Biographic Data

ID10026989
NAMELan Zhuang
GIVEN NAMESLan
FAMILY NAMEZhuang
SIGNATUREZHUANG L
AFFILIATIONSCentral South University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Intelligent automatic sleep staging model based on CNN and LSTM

    Open Access•Lan Zhuang, Minhui Dai et al.•ARTICLE•Frontiers in Public Health•2022

    Since electroencephalogram (EEG) is a significant basis to treat and diagnose somnipathy, sleep electroencephalogram automatic staging methods play important role in the treatment and diagnosis of sleep disorders. Due to the characteristics of weak signals, EEG needs accurate and efficient algorithms to extract feature information before applying it in the sleep stages. Conventional feature extraction methods have low efficiency and are difficult…

No prominent works on this page.

  • Intelligent automatic sleep staging model based on CNN and LSTM

    Open Access•Lan Zhuang, Minhui Dai et al.•ARTICLE•Frontiers in Public Health•2022

    Since electroencephalogram (EEG) is a significant basis to treat and diagnose somnipathy, sleep electroencephalogram automatic staging methods play important role in the treatment and diagnosis of sleep disorders. Due to the characteristics of weak signals, EEG needs accurate and efficient algorithms to extract feature information before applying it in the sleep stages. Conventional feature extraction methods have low efficiency and are difficult…

Artificial Intelligence (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Data pre-processing (1 work) · Deep learning (1 work) · EEG and Brain-Computer Interfaces (1 work) · Electroencephalography (1 work) · Feature extraction (1 work) · Machine learning (1 work) · Medicine (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae