NDLI: Cortical activation pattern for finger movement: A feasibility study towards a fNIRS based BCI

Content Provider	IEEE Xplore Digital Library
Author	Seung Hyun Lee Sang Hyeon Jin Gwanghee Jang Yoo Jung Lee Jinung An Hong Keum Shik
Copyright Year	2015
Description	Author affiliation: Robot. Res. Div., DGIST, Daegu, South Korea (Seung Hyun Lee; Sang Hyeon Jin; Gwanghee Jang; Yoo Jung Lee; Jinung An) \|\| Dept. of Cogno-Mechatron. Eng., Pusan Nat. Univ., Pusan, South Korea (Hong Keum Shik)
Abstract	Functional near-infrared spectroscopy (fNIRS) has become an established tool to investigate brain function and it is an interesting modality for brain computer interfaces (BCIs). This paper was aimed at examining whether fNIRS can be an appropriate BCIs modality. Brain activities of three subjects performing a right-hand finger movement (flex and extend the fingers and thumb) tasks were measured by fNIRS. And finger movement was carried out with active and passive modes. Passive movements were provided by a functional electrical stimulation (FES). Results demonstrated that while all movement modes commonly activated primary motor cortex, there were considerable differences between finger and thumb movement. The pattern of neural activation in active movement was resembled by passive movement. This result indicates that finger and thumb movement can be classified and then we saw possibility of the utilizing fNIRS into the field of BCIs.
Starting Page	1
Ending Page	4
File Size	662353
Page Count	4
File Format	PDF
ISBN	9781479978625
DOI	10.1109/ASCC.2015.7244861
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-31
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Finger Movement Brain Spectroscopy Accuracy fNIRS Thumb Brain Mapping BCI Rehabilitation Robots
Content Type	Text
Resource Type	Article

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