The Signal Quality Index (SQI) algorithm is a novel tool for quantitatively assessing the quality of fNIRS signals in a numeric scale from 1 (very low quality) to 5 (very high quality). The algorithm comprises two preprocessing steps followed by three consecutive rating stages:
- Identifying very low quality signals.
- Identifying very high quality signals.
- Signal quality rating.
For more details, see Sappia, M. S.*, Hakimi, N.*, Colier, W. N., & Horschig, J. M. (2020). Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality. Biomedical Optics Express, 11(11), 6732-6754.
* These authors contributed equally to this work.
This project received funding from the European Union’s Horizon 2020 Framework Program under grant agreements No. 813234 (RHUMBO) and No. 813843 (INFANS). This study was also funded by the European Fund for Regional Development (EFRO) and the Dutch provinces Gelderland and Overijssel (PROJ-00872).
Signal Quality Index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality by M. Sofía SAPPIA, Naser HAKIMI, Willy N.J.M. COLIER, Jörn M. HORSCHIG is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://github.com/Artinis-Medical-Systems-B-V/SignalQualityIndex.
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