ESR9, Sofia Sappia, is co-author of the recently published journal paper with title “Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality“, the work proposes 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 consecutive rating stages. The results on a dataset annotated by independent fNIRS experts showed SQI performed significantly better (p<0.05) than PHOEBE (placing headgear optodes efficiently before experimentation) and SCI (scalp coupling index), two
existing algorithms, in both quantitatively rating and binary classifying the fNIRS signal quality. Employment of the proposed algorithm to estimate the signal quality before processing the fNIRS signals increases certainty in the interpretations.
The work has been published in Biomedical Optics Express, a research magazine with a high impact factor of 3.921.
Read the complete article in https://www.osapublishing.org/boe/fulltext.cfm?uri=boe-11-11-6732&id=441993