Concepedia

Deep Learning For Electrooculograms

Deep Learning for Electrooculograms is a computational methodology that applies deep neural networks to the automated analysis and interpretation of electrooculographic signals for ocular movement detection and human-computer interaction.

13

Publications

311

Citations

58

Authors

47

Institutions

Publications per year

2017–2026

11

Parents

Publications

13

Artificial intelligence and deep learning in glaucoma: Current state and future prospects

Michaël J. A. Girard, Leopold Schmetterer · Progress in brain research · 2020 · 44 citations

, , +17

Electrooculogram signal identification for elderly disabled using Elman network

M. Thilagaraj, N. Arunkumar, S. Hariharasitaraman · Microprocessors and Microsystems · 2021 · 41 citations

, , +13

DESIGN AND DEVELOPMENT OF HUMAN COMPUTER INTERFACE USING ELECTROOCULOGRAM WITH DEEP LEARNING

Geer Teng, Yue He, Hengjun Zhao et al. · Artificial Intelligence in Medicine · 2019 · 36 citations

, , +10

Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals

Cătălin Stoean, Ruxandra Stoean, Miguel Atencia et al. · Sensors · 2020 · 30 citations · Full text

, , +17

A deep wavelet sparse autoencoder method for online and automatic electrooculographical artifact removal

Hoang-Anh The Nguyen, Lê Thanh Hà, The Duy Bui · Neural Computing and Applications · 2020 · 20 citations

, , +14

1–5 of 13

Authors

58

  1. QZ
    Qingxue Zhang

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 31 citations

    2

    h-index

  2. JZ
    Jiadao Zou

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 31 citations

    2

    h-index

  3. AA
    Abdulhakim Al‐Ezzi

    Universiti Teknologi Petronas, Malaysia

    1 publications · 20 citations

    1

    h-index

  4. BL
    Bao‐Liang Lu

    Shanghai Jiao Tong University, China

    1 publications · 17 citations

    1

    h-index

  5. SB
    Seunghyeb Ban

    Georgia Institute of Technology, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 58

Institutions

47

  1. University of Indianapolis

    Indianapolis, United States

    2 h-index

    4 publications

    62 citations

  2. Kalasalingam Academy of Research and Education

    Srivilliputhur, India

    2 h-index

    2 publications

    77 citations

  3. Indiana University – Purdue University Indianapolis

    Indianapolis, United States

    2 h-index

    4 publications

    62 citations

  4. Vietnam National University, Hanoi

    Hanoi, Vietnam

    1 h-index

    2 publications

    40 citations

  5. Singapore National Eye Center

    Singapore, Singapore

    1 h-index

    2 publications

    88 citations

  6. Georgia Institute of Technology

    Atlanta, United States

    1 h-index

    3 publications

    48 citations

  7. Kumamoto University

    Kumamoto, Japan

    1 h-index

    1 publications

    30 citations

  8. University of Windsor

    Windsor, Canada

    1 h-index

    1 publications

    17 citations

1–8 of 47

Venues

  1. Sensors

    1 publications · 30 citations

    1

    h-index

  2. Chaos Solitons & Fractals

    1 publications · 19 citations

    1

    h-index

  3. IEEE Transactions on Cognitive and Developmental Systems

    TCDS · 1 publications · 17 citations

    1

    h-index

  4. Microprocessors and Microsystems

    MICPRO · 1 publications · 41 citations

    1

    h-index

  5. Advanced Intelligent Systems

    1 publications · 16 citations

    1

    h-index

1–5