Motion Artifact Correction of Multi-Measured Functional Near-Infrared Spectroscopy Signals Based on Signal Reconstruction Using an Artificial Neural Network †

In this paper, a new motion artifact correction method is proposed based on multi-channel functional near-infrared spectroscopy (fNIRS) signals. Recently, wavelet transform and hemodynamic response function-based algorithms were proposed as methods of denoising and detrending fNIRS signals. However,...

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Detalles Bibliográficos
Autores principales: Lee, Gihyoun, Jin, Sang Hyeon, An, Jinung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164948/
https://www.ncbi.nlm.nih.gov/pubmed/30189651
http://dx.doi.org/10.3390/s18092957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164948/
https://www.ncbi.nlm.nih.gov/pubmed/30189651
http://dx.doi.org/10.3390/s18092957

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