HIGHLIGHTS
- who: Alfonso Mastropietro and collaborators from the Institute of Biomedical Technologies, National Research Council, Via Fratelli Cervi, Segrate, Italy Department of Molecular Medicine, University of Pavia, Via Forlanini, Pavia, Italy have published the paper: Reliability of Mental Workload Index Assessed by EEG with Different Electrode Configurations and Signal Pre-Processing Pipelines, in the Journal: Sensors 2023, 1367 of /2023/
- what: The authors propose to use at least a configuration (Fz and Pz) and complex PPPs including at least the ICA algorithm (even better including ASR) to mitigate artifacts and obtain reliable and sensitive MWL assessment . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.