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

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Published:22 September 2017Publication 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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  1. A Virtual-Reality Based Neurofeedback Game Framework for Depression Rehabilitation using Pervasive Three-Electrode EEG Collector

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    • Published in

      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

      Copyright © 2017 Owner/Author

      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.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 September 2017

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      Qualifiers

      • poster
      • Research
      • Refereed limited

      Acceptance Rates

      ChineseCSCW '17 Paper Acceptance Rate21of84submissions,25%Overall Acceptance Rate21of84submissions,25%

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