EEG Variations During Measurement of Cognitive Functions Using Biosignal Acquisition Toolkit-Reference-Cited by-同舟云学术

EEG Variations During Measurement of Cognitive Functions Using Biosignal Acquisition Toolkit

Published:2020-08-20 Issue:4 Volume:32 Page:753-760
ISSN:1883-8049
Container-title:Journal of Robotics and Mechatronics
language:en
Short-container-title:J. Robot. Mechatron.

Author:

Kaji Yoshio, ,Yamamoto Yoshikazu,Kawata Junji,Morimoto Jiro,Fujisawa Shoichiro

Abstract

The occurrence of serious traffic accidents due to driving error has recently become a social issue. The decline in cognitive functions is considered a factor particularly among elderly drivers, for which some corrective measures are urgently needed. Currently, as a measure dealing with elderly drivers, drivers aged 75 years are required by law to examine their cognitive functions when they renew their driver’s license. This examination is conducted to measure memory and power of judgment. In the present study, we used a device that allows simple measurements and attached electrodes to the frontal pole, where it is easy to attach; measure electroencephalograms for the cognitive functions of memory, mental calculations (thinking), and memory recall; and examine the changes in the power spectra to determine how they vary in young and elderly individuals.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference14 articles.

1. J. Takanashi, “Electroencephalography of dementia,” Japanese J. of Medical Technology, Vol.66, Issue J-STAGE-2, pp. 55-61, 2017 (in Japanese).

2. H. Mori, I. Horiguchi, and T. Shimizu, “Evaluation of Depressive State With Pre-Frontal Electroencephalographic Spectra,” Juntendo Medical J., Vol.59, Isuue 3, pp. 267-272, 2013 (in Japanese).

3. S. Ito, Y. Mitsukura, M. Fukumi, and N. Akamatsu, “Proposal of the EEG Analysis Method Using the Individual Characteristic of the EEG,” IEEJ Trans. EIS, Vol.124, No.6, pp. 1259-1266, 2004 (in Japanese).

4. Y. Kohata, Y. Mitsukura, M. Shinozuka, S. Yamamoto, and H. Funamori, “An Air Environment Evaluation Using Electroencephalogram (EEG),” Techinical Papers of Annual Meeting the Society of Heating, Air-conditioning and Sanitary Engineers of Japan, pp. 141-144, 2018 (in Japanese).

5. D. Takehara, H. Kayanuma, M. Matsubara, N. Seki, K. Wada, M. Kurata, and Y. Ono, “Development of an ERD measurement system using Emotiv Epoc,” Trans. of Japanese Society for Medical and Biological Engineering, Vol.55, pp. 556-559, 2017 (in Japanese).

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