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Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality
We propose the signal quality index (SQI) algorithm as a novel tool for quantitatively assessing the functional near infrared spectroscopy (fNIRS) signal quality in a numeric scale from 1 (very low quality) to 5 (very high quality). The algorithm comprises two preprocessing steps followed by three c...
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| Publicado no: | Biomed Opt Express |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7687963/ https://ncbi.nlm.nih.gov/pubmed/33282521 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.409317 |
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