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JACIII Vol.22 No.3 pp. 306-315
doi: 10.20965/jaciii.2018.p0306
(2018)

Development Report:

Wavelet Transform Analysis the Recognizing Brain Activities for Development the Palm-Size and Simplification Near-Infrared Spectroscopy Prototype System by Using Arduino

Yukinobu Hoshino*, Masayuki Kubo*, and Thang Cao**

*Kochi University of Technology,
185 Tosayamada Miyanokuchi, Kami, Kochi 782-0003, Japan

**The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

Received:
January 20, 2017
Accepted:
February 9, 2018
Published:
May 20, 2018
Keywords:
wavelet transform analysis, functional near-infrared spectroscopy (fNIRS), brain-computer interface (BCI).
Abstract

Functional near-infrared spectroscopy (fNIRS) and brain computer interface (BCI) have become indispensable tools for recording and monitoring brain activity, comprising a non-invasive and safe technique that allows researchers to monitor blood flow in the front part of the brain. Although some medical device manufacturers developed complex fNIRS systems, downsized fNIRS systems are important for other uses, such as in portable (palm-sized) and wearable healthcare devices. This paper proposes a downsized compact fNIRS prototype that detects hemodynamics in the frontal lobe. The aim is to develop a compact fNIRS system, which is reliable and easy to integrate into portable (palm-sized) BCI devices. Through practical experiments with human subjects, our proposed system showed an ability to detect and monitor the start and end time of human brain activities when participants were solving a calculation table.

Cite this article as:
Y. Hoshino, M. Kubo, and T. Cao, “Wavelet Transform Analysis the Recognizing Brain Activities for Development the Palm-Size and Simplification Near-Infrared Spectroscopy Prototype System by Using Arduino,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.3, pp. 306-315, 2018.
Data files:
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Last updated on Nov. 16, 2018