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Adaptive algorithm utilizing acceptance rate for eliminating noisy epochs in block-design functional near-infrared spectroscopy data: application to study in attention deficit/hyperactivity disorder children
Functional near-infrared spectroscopy (fNIRS) signals are prone to problems caused by motion artifacts and physiological noises. These noises unfortunately reduce the fNIRS sensitivity in detecting the evoked brain activation while increasing the risk of statistical error. In fNIRS measurements, the...
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| Опубликовано в: : | Neurophotonics |
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| Главные авторы: | , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6181242/ https://ncbi.nlm.nih.gov/pubmed/30345324 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.NPh.5.4.045001 |
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