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A Virtual-Reality Based Neurofeedback Game Framework for Depression Rehabilitation using Pervasive Three-Electrode EEG Collector

Published: 22 September 2017 Publication History

Abstract

Depression has become one major psychiatric disorder, which troubles the life of millions worldwide. In general, depression is treated with antidepressant drugs, and usually assisted by non-medication treatments, such as psychotherapy and physical therapy. Due to their expensive and time-consuming nature, these therapy sessions often ended with patients losing motivation to continue, and results unsatisfied recovery progress. In addition, both psychotherapy and physical therapy are highly human intensive. Thus, a novel neurofeedback game framework, which supports depression rehabilitation may provide new opportunities. In this paper, we present a new Virtual-Reality based neurofeedback game framework for depression rehabilitation, which would increase patients' motivation for therapy, and lower the cost for both patients and therapists. In our framework, patients' EEG data are pervasively recorded using an innovative three-electrode EEG collector. Then the data are processed and calculated into feedback features, and finally represented back to patients through Virtual-Reality games in real-time. Experiment for prototype system of using our framework is conducted and clinical testing are planned for further evaluation.

References

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Murray, C.J., Lopez, A.D.: Alternative projections of mortality and disability by cause 1990-2020: Global Burden of Disease Study. The Lancet 349, 1498--1504 (1997)
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Ruhé HG, Huyser J, Swinkels JA, Schene AH (2006). "Switching Antidepressants After a First Selective Serotonin Reuptake Inhibitor in Major Depressive Disorder". The Journal of Clinical Psychiatry. 67 (12): 1836--55.
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Cai H, Sha X, Han X, et al. Pervasive EEG diagnosis of depression using Deep Belief Network with three-electrodes EEG collector{C}//Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on. IEEE, 2016: 1239--1246.
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Li N, Hu B, Chen J, et al. Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings{C}// International Conference on Neural Information Processing. Springer Berlin Heidelberg, 2013: 512--521.
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Zhang X, Hu B, Zhou L, et al. An EEG based pervasive depression detection for females{C}// Joint International Conference on Pervasive Computing and the Networked World. Springer Berlin Heidelberg, 2012: 848--861.

Cited By

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  • (2023)Trigger or Treat: Using Technology to Facilitate the Perception of Cravings and Corresponding Cues for Achieving Clinical-friendly Drug PsychotherapyProceedings of the ACM on Human-Computer Interaction10.1145/35795357:CSCW1(1-26)Online publication date: 16-Apr-2023
  • (2023)A Survey of VR-Based Neurofeedback Systems in Physiological Computing for Depression Treatment2023 9th International Conference on Virtual Reality (ICVR)10.1109/ICVR57957.2023.10169583(369-377)Online publication date: 12-May-2023
  • (2021)CravingProbe: A System Combining Virtual Reality and Biofeedback Technologies to Assist Drug PsychotherapyAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3480159(555-559)Online publication date: 21-Sep-2021
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  1. A Virtual-Reality Based Neurofeedback Game Framework for Depression Rehabilitation using Pervasive Three-Electrode EEG Collector

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    cover image ACM Other conferences
    ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing
    September 2017
    269 pages
    ISBN:9781450353526
    DOI:10.1145/3127404
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 22 September 2017

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    Author Tags

    1. Virtual-Reality
    2. depression rehabilitation
    3. neurofeedback

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    • Poster
    • Research
    • Refereed limited

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    ChineseCSCW '17

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    ChineseCSCW '17 Paper Acceptance Rate 21 of 84 submissions, 25%;
    Overall Acceptance Rate 21 of 84 submissions, 25%

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    Cited By

    View all
    • (2023)Trigger or Treat: Using Technology to Facilitate the Perception of Cravings and Corresponding Cues for Achieving Clinical-friendly Drug PsychotherapyProceedings of the ACM on Human-Computer Interaction10.1145/35795357:CSCW1(1-26)Online publication date: 16-Apr-2023
    • (2023)A Survey of VR-Based Neurofeedback Systems in Physiological Computing for Depression Treatment2023 9th International Conference on Virtual Reality (ICVR)10.1109/ICVR57957.2023.10169583(369-377)Online publication date: 12-May-2023
    • (2021)CravingProbe: A System Combining Virtual Reality and Biofeedback Technologies to Assist Drug PsychotherapyAdjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460418.3480159(555-559)Online publication date: 21-Sep-2021
    • (2021)Exploring the Opportunities and Challenges of Enabling Clinical-friendly Drug Psychotherapy with Virtual Reality and Biofeedback TechnologiesExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451585(1-7)Online publication date: 8-May-2021
    • (2020)ManneqKit CardsProceedings of the 2020 ACM Designing Interactive Systems Conference10.1145/3357236.3395556(1479-1493)Online publication date: 3-Jul-2020
    • (2019)Immersive Virtual Reality in Health Care: Systematic Review of Technology and Disease StatesJMIR Biomedical Engineering10.2196/150254:1(e15025)Online publication date: 26-Sep-2019
    • (2019)"I think people are powerful"Proceedings of the ACM on Human-Computer Interaction10.1145/33591433:CSCW(1-29)Online publication date: 7-Nov-2019
    • (2019)Toward Emotionally Adaptive Virtual Reality for Mental Health ApplicationsIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2018.287884623:5(1877-1887)Online publication date: Sep-2019

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