TY - GEN
T1 - A comparison of artifact reduction methods for real-time analysis of fNIRS data
AU - Nozawa, Takayuki
AU - Kondo, Toshiyuki
PY - 2009
Y1 - 2009
N2 - Due to its convenient, low physical restraint, and electric noise tolerant features, functional near-infrared spectroscopy (fNIRS) is expected to be a useful tool in monitoring users' brain activity in HCI. However, fNIRS measurement suffers from various kinds of artifacts, and no standardized method for artifact reduction has been established so far. In this study, we compared high-pass/band-pass filtering, global and local average references, independent component analysis (ICA) based method, and their combinations. Their effectiveness for artifact reduction was evaluated by a cognitive task recognition experiment. The results showed all the methods have artifact reduction capability, but their effectiveness depends on subjects and tasks. This suggests that it can be more practical to try various artifact reduction methods and chose the best one for each task and subject, instead of pursuing a single standardized method.
AB - Due to its convenient, low physical restraint, and electric noise tolerant features, functional near-infrared spectroscopy (fNIRS) is expected to be a useful tool in monitoring users' brain activity in HCI. However, fNIRS measurement suffers from various kinds of artifacts, and no standardized method for artifact reduction has been established so far. In this study, we compared high-pass/band-pass filtering, global and local average references, independent component analysis (ICA) based method, and their combinations. Their effectiveness for artifact reduction was evaluated by a cognitive task recognition experiment. The results showed all the methods have artifact reduction capability, but their effectiveness depends on subjects and tasks. This suggests that it can be more practical to try various artifact reduction methods and chose the best one for each task and subject, instead of pursuing a single standardized method.
UR - http://www.scopus.com/inward/record.url?scp=76249093006&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02559-4_45
DO - 10.1007/978-3-642-02559-4_45
M3 - 会議への寄与
AN - SCOPUS:76249093006
SN - 3642025587
SN - 9783642025587
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 413
EP - 422
BT - Human Interface and the Management of Information
T2 - Human Interface and the Management of Information: Information and Interaction - Symposium on Human Interface 2009, Held as Part of HCI International 2009, Proceedings
Y2 - 19 July 2009 through 24 July 2009
ER -