Assessment of fNIRS Signal Processing Pipelines: Towards Clinical Applications
نویسندگان
چکیده
Functional Near-Infrared Spectroscopy (fNIRS) captures activations and inhibitions of cortical areas implements a viable approach to neuromonitoring in clinical research. Compared more advanced methods, continuous wave fNIRS (CW-fNIRS) is currently used clinics for its simplicity mapping the whole sub-cranial cortex. Conversely, it often lacks hardware reduction confounding factors, stressing importance correct signal processing. The proposed pipeline includes movement artifact (MAR), bandpass filtering (BPF), principal component analysis (PCA). Eight MAR algorithms were compared among 23 young adult volunteers under motor-grasping task. Single-subject examples are shown followed by percentage energy (ERD%) statistics single steps cumulative values. block average hemodynamic response function was with generalized linear model fitting. Maps significant activation/inhibition illustrated. mean ERD% pre-processed signals concerning initial raw reached 4%. A tested multichannel variant showed overcorrection on 4-fold expansive windows. All found similar contralateral motor area. In conclusion, channel suggested BPF PCA. cortex integration applications also confirmed our results.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app12010316