Open AccessMeasurement of Brain Function of Car Driver Using Functional Near‐Infrared Spectroscopy (fNIRS)
Author(s) -
Hitoshi Tsunashima,
Kazuki Yanagisawa
Publication year - 2009
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2009/164958
Subject(s) - functional near infrared spectroscopy , computer science , neuroimaging , artificial intelligence , signal (programming language) , task (project management) , pattern recognition (psychology) , cruise control , wavelet , brain activity and meditation , computer vision , electroencephalography , psychology , neuroscience , cognition , control (management) , prefrontal cortex , programming language , management , economics
The aim of this study is to propose a method for analyzing measured signal obtained from functional Near-Infrared Spectroscopy (fNIRS), which is applicable for neuroimaging studies for car drivers. We developed a signal processing method by multiresolution analysis (MRA) based on discrete wavelet transform. Statistical group analysis using Z-score is conducted after the extraction of task-related signal using MRA. Brain activities of subjects with different level of mental calculation are measured by fNIRS and fMRI. Results of mental calculation with nine subjects by using fNIRS and fMRI showed that the proposed methods were effective for the evaluation of brain activities due to the task. Finally, the proposed method is applied for evaluating brain function of car driver with and without adaptive cruise control (ACC) system for demonstrating the effectiveness of the proposed method. The results showed that frontal lobe was less active when the subject drove with ACC.
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