Atıf İçin Kopyala
AKIN A.
NEUROPHOTONICS, cilt.8, sa.3, 2021 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
8
Sayı:
3
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Basım Tarihi:
2021
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Doi Numarası:
10.1117/1.nph.8.3.035008
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Dergi Adı:
NEUROPHOTONICS
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, EMBASE, INSPEC, Directory of Open Access Journals
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Anahtar Kelimeler:
fNIRS, neuropsychiatric diseases, functional connectivity, global efficiency, cognitive quotient, neurocognitive ratio, NEAR-INFRARED SPECTROSCOPY, FUNCTIONAL CONNECTIVITY, COGNITIVE NEUROSCIENCE, BRAIN, NETWORKS, DIAGNOSIS, TASK, CLASSIFICATION, INTERFERENCE, INTELLIGENCE
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Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli:
Evet
Özet
Significance: Clinical use of fNIRS -derived features has always suffered low sensitivity and specificity due to signal contamination from background systemic physiological fluctuations. We provide an algorithm to extract cognition-related features by eliminating the effect of background signal contamination, hence improving the classification accuracy.