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Study for Self-Treatment of Dementia by Biofeedback Rehabilitation

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Pervasive Computing Paradigms for Mental Health (MindCare 2014)

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Abstract

Light reflex and oculogyration analysing system is proposed in order to diagnose the Alzheimer type dementia (DAT) objectively. 19 patients are studied, which shows that the maximum miosis ratio and miosis velocity are sensitive parameters to evaluate the severity of dementia and the changing time of internal and external rectus eye muscles is the effective index for screening of the dementia. The threshold of the changing time over 0.35 s can discriminate DAT clearly from the normal. Biofeedback trainings of the demented are executed by the objective diagnosing method, which shows improvement in MMSE, ADL score and the eye reflex parameters. The proposed method may become a safe non-pharmacological treatment of the dementia.

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Acknowledgements

We would like to extend sincere thanks to the patients and the staffs of Mishima hospital. We owe Dr.Fukushima in Panasonic Denko, who kindly helps development of the diagnosing system of the dementia. As the experiments are executed by the earnest foreign doctor students (Shi Xuemin and Guo Yi) as well as Dr Hisashi UCHIYAMA in our institute, we should say hearty thanks to them.

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Authors and Affiliations

  1. Institute of Biomedical Engineeing, Nagaoka University of Technology, Kamitomioka 1603-1, Nagaoka, Japan

    Ichiro Fukumoto

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  1. Ichiro Fukumoto
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Correspondence to Ichiro Fukumoto .

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Editors and Affiliations

  1. University of Milan, Milan, Italy

    Pietro Cipresso

  2. Telefónica I+D, Barcelona, Spain

    Aleksandar Matic

  3. Aoyama Gakuin University, Tokyo, Japan

    Guillaume Lopez

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Fukumoto, I. (2014). Study for Self-Treatment of Dementia by Biofeedback Rehabilitation. In: Cipresso, P., Matic, A., Lopez, G. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-11564-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-11564-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11563-4

  • Online ISBN: 978-3-319-11564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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