Computer Vision-Driven Movement Annotations to Advance fNIRS Pre-Processing Algorithms
Functional near-infrared spectroscopy (fNIRS) is beneficial for studying brain activity in naturalistic settings due to its tolerance for movement. However, residual motion artifacts still compromise fNIRS data quality and might lead to spurious results. Although some motion artifact correction algo...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-10-01
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| coleção: | Sensors |
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| Acesso em linha: | https://www.mdpi.com/1424-8220/24/21/6821 |
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