Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Shinji Umeyama"'
Publikováno v:
PLoS ONE, Vol 7, Iss 11, p e50271 (2012)
In conventional functional near-infrared spectroscopy (fNIRS), systemic physiological fluctuations evoked by a body's motion and psychophysiological changes often contaminate fNIRS signals. We propose a novel method for separating functional and syst
Externí odkaz:
https://doaj.org/article/49ef0bae3cb64ba48af3b49809566e30
Publikováno v:
SPIE Proceedings.
The difference in signal-to-noise ratio (SNR) within functional near-infrared spectroscopic (fNIRS)-measurement channels makes it difficult to compare the significance of the signal amplitude in an individual channel against the baseline or against s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaf32db8c3dcf4bbf19901ebb5eacb00
https://doi.org/10.1117/12.2250239
https://doi.org/10.1117/12.2250239
Publikováno v:
Systems and Computers in Japan. 38:98-108
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::484838a4f456e5e2fc28dc0e988eec62
https://doi.org/10.1002/scj.10612
https://doi.org/10.1002/scj.10612
Autor:
Takayuki Iwano, Shinji Umeyama
Publikováno v:
SPIE Proceedings.
fNIRS (functional near-Infrared spectroscopy) can measure brain activity non-invasively and has advantages such as low cost and portability. While the conventional fNIRS has used laser light, LED light fNIRS is recently becoming common in use. Using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab3e03cfeb2b345c5297c699567997a
https://doi.org/10.1117/12.2204999
https://doi.org/10.1117/12.2204999
Publikováno v:
SPIE Proceedings.
Functional near-infrared spectroscopy (fNIRS) can non-invasively detect hemodynamic changes associated with cerebral neural activation in human subjects. However, its signal is often affected by changes in the optical characteristics of tissues in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c28a3e38806aac691a5d48ff7af590
https://doi.org/10.1117/12.2204771
https://doi.org/10.1117/12.2204771
Autor:
Kenji Kansaku, Shigeru Kitazawa, Shigeru Muraki, Yasunori Nishimori, Takanori Kochiyama, Shigeru Yamane, Shinji Umeyama
Publikováno v:
NeuroImage. 28:669-681
Multiple cortical regions such as the supplementary motor area (SMA), premotor cortex (PM), and primary motor cortex (M1) are involved in the sequential execution of hand movements, but it is unclear how these areas collaborate in the preparation and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cec7211ddb04d81d48e3d728902695a6
https://doi.org/10.1016/j.neuroimage.2005.06.022
https://doi.org/10.1016/j.neuroimage.2005.06.022
Publikováno v:
SPIE Proceedings.
Similar to blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI), functional nearinfrared spectroscopy (fNIRS) observes regional hemodynamic responses associated with neuronal activation. However, the conventional crit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::082bb48945b47a88c5ab1f284af7d365
https://doi.org/10.1117/12.2036165
https://doi.org/10.1117/12.2036165
Publikováno v:
SPIE Proceedings.
While most commercially available functional near-infrared spectroscopy (fNIRS) systems employ optical fibers for both the measurement optode and the transmission cable for optical signals, their material inflexibility presents some problems in stabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e4bfc27eca50672c1c5f17afd880dcf
https://doi.org/10.1117/12.2036155
https://doi.org/10.1117/12.2036155
Autor:
Shinji Umeyama, Shotaro Akaho
Publikováno v:
Electronics and Communications in Japan (Part III: Fundamental Electronic Science). 84:21-28
We propose a method to extract features from a pair of multivariate information sources. CCA (canonical correlation analysis) is a traditional method for this purpose, but it does not always succeed in producing features that are nonlinearly related,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee1a4f3adf26f112090dbf36cfcb1afd
https://doi.org/10.1002/ecjc.1045
https://doi.org/10.1002/ecjc.1045
Autor:
Shinji Umeyama
Publikováno v:
Electronics and Communications in Japan (Part III: Fundamental Electronic Science). 84:1-9
Independent Component Analysis is a new data analysis method, and its computation algorithms and applications have been widely studied recently. Most applications, however, are in the field of one-dimensional data analysis, such as sound data analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0abbbcc7a4d7e53135ba25af8f810d08
https://doi.org/10.1002/ecjc.1051
https://doi.org/10.1002/ecjc.1051