Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:B4L-D
Session:
Number:B4L-D-1
Recurrence Plots Visualize Task Periods in Noisy NIRS Data
Masako Sugai, Masaharu Adachi,
pp.704-707
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
NIRS (Near infra-red spectroscopy) is a spectroscopic device with which brain activity can be measured non-invasively and low restrictedly. However, the obtained data are easily contaminated with noise. In addition, NIRS data, in principle, contain two unknown constants, therefore, the analysis of NIRS data is not well established. In this study recurrence plots are adopted to visualize task period in NIRS data. In addition, we examined the difference of brain activity between task period and non-task period using recurrence plots. As a result, it is shown that recurrence plots can visualize a task period in noisy NIRS data. Moreover, it was found that there are statistical differences in recurrence plots between task period and non-task period. The proposed method is robust to noisy NIRS data, hence it is suggested that recurrence plots contribute to the better practical use of NIRS.