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Development of Audio and Visual Attention Assessment System in Combination with Brain Wave Instrument: Apply to Children with Attention Deficit Hyperactivity Disorder

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Genetic and Evolutionary Computing (ICGEC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 579))

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Abstract

The main purpose of this study mainly for children with attention deficit hyperactivity disorder (ADHD) to attention test, combined the development of the Visual and Audio Attention Test System (VAAT). We use Conners Kiddie Continuous Performance Test Second Edition (K-CPT 2) and VAAT testing 16 children with ADHD between 4 to 7 years old and compare the results to observe the K-CPT 2 and VAAT assessment at the same time. We observe the differences in visual and audio of VAAT when they do wrong or do right response via the brain wave variability. The experimental results show that most of the children have inattention in K-CPT 2. The K-CPT 2 and VAAT raw scores at the same time efficient of the response time, standard deviation and change rates are significant. It appears positive correlation. Our system provides good assessment for children with ADHD.

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Acknowledgments

This research was supported by the National Science Council, Taiwan, R.O.C., under contract number MOST 103-2632-E-324-001-MY3, MOST 106-2221-E-324-013 and MOST 106-2622-E-305-001-CC2.

Compliance with ethical standards

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, 41349, Taiwan, R.O.C.

    Chin-Ling Chen & Yong-Feng Zhou

  2. School of Information Engineering, Changchun University of Technology, Changchun, 130600, Jilin, China

    Chin-Ling Chen

  3. School of Physical Therapy, Chun Shan Medical University, Taichung, 40201, Taiwan

    Yung-Wen Tang

  4. Department of Information Management, Chaoyang University of Technology, Taichung, 41349, Taiwan, R.O.C.

    Yue-Xun Chen

Authors
  1. Chin-Ling Chen
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  2. Yung-Wen Tang
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  3. Yong-Feng Zhou
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  4. Yue-Xun Chen
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Corresponding author

Correspondence to Chin-Ling Chen .

Editor information

Editors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China

    Jerry Chun-Wei Lin

  2. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  3. School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, South Australia, Australia

    Shu-Chuan Chu

  4. School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China

    Chien-Ming Chen

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Chen, CL., Tang, YW., Zhou, YF., Chen, YX. (2018). Development of Audio and Visual Attention Assessment System in Combination with Brain Wave Instrument: Apply to Children with Attention Deficit Hyperactivity Disorder. In: Lin, JW., Pan, JS., Chu, SC., Chen, CM. (eds) Genetic and Evolutionary Computing. ICGEC 2017. Advances in Intelligent Systems and Computing, vol 579. Springer, Singapore. https://doi.org/10.1007/978-981-10-6487-6_19

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  • DOI: https://doi.org/10.1007/978-981-10-6487-6_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6486-9

  • Online ISBN: 978-981-10-6487-6

  • eBook Packages: EngineeringEngineering (R0)

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