Quantification of Motion Artifacts in fNIRS Data by Monitoring Sensor Attachment

Among today’s various brain imaging methodologies, functional near infrared spectroscopy(fNIRS) is one of the most promising one because of its great versatility accomplished by simple architecture. fNIRS provides the possibilities for unprecedented way of researching brain, because it can be designed to be compact and portable. However, signals are corrupted by motions of subjects, known as motion artifacts, resulting in the limits of fNIRS performances. In this paper, we successfully identify and quantify the correlation between the motion artifacts and the sensor displacement by implementing a fNIRS probe which cooperates with pressure sensor.