Estimation algorithm of tapping movement by NIRS

Author

Muroga, Takeo ; Tsubone, Tadashi ; Wada, Yasuhiro

Author_Institution

Nagaoka Univ. of Technol., Niigata

fYear

2006

Firstpage

3845

Lastpage

3849

Abstract

In recent years, study of brain computer interface (BCI) is conducted actively and many researches of implementation using electro encephalic gram (EEG) are reported. On the other hand, near-infrared spectroscopy (NIRS) is noninvasive measurements, but there are many problems remaining unsolved and little is reported about the actual procedures or implementation examples when applying NIRS to realize BCI. We propose a method to quantitatively estimate start and end timing of movement by using a neural network. We measured regional cerebral blood flow during tapping movement of the right hand by NIRS. The following tendencies of total-Hb were observed. Hb increased within 10 s from the movement start time, decreased within 10 s from the movement end time. In this paper, the estimation method showed the possibility of applications to the ON/OFF control of BCI

Keywords

biochemistry; biomechanics; blood flow measurement; brain; infrared spectroscopy; medical computing; neural nets; proteins; user interfaces; EEG; NIRS; brain computer interface; electroencephalogram; haemoglobin; neural network; noninvasive near-infrared spectroscopic measurements; regional cerebral blood flow measurement; right hand tapping movement estimation; timing estimation; Belts; Biological neural networks; Blood flow; Brain computer interfaces; Electroencephalography; Fluid flow measurement; Noninvasive treatment; Probes; Spectroscopy; Timing; NIRS; Neural Network; Tapping;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE-ICASE, 2006. International Joint Conference

Conference_Location

Busan

Print_ISBN

89-950038-4-7

Electronic_ISBN

89-950038-5-5

Type

conf

DOI

10.1109/SICE.2006.314804

Filename

4108433