Multichannel, Single Tral Event Related Potential Classification

• Published in: IEEE transactions on biomedical engineering Vol. BME-33; no. 12; pp. 1069 - 1075
• Main Authors: Childers, Donald G., Fischler, Ira S., Boaz, Timothy L., Perry, Nathan W., Arroyo, A. Antonio
• Format: Journal Article
• Language: English
• Published: IEEE 01-12-1986
• Subjects: Computational modeling; Data analysis; Design for experiments; Electrodes; Enterprise resource planning; Psychology; Testing; Training data; Vectors; Voting
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/TBME.1986.325683

We report on the effect of electrode placement and number of electrodes on the classification of single trial event related potentials (ERP's). The subjects read propositions relating fictitious people and their occupations while ERP's were recorded. The subjects decided if the proposition was correct or incorrect and responded as per instructions. The single trial, multichannel ERP data were classified using various methods, e. g., hold-out, leave-one-out, resubstitution. Several other factors were examined to determine their effect on ERP classification, including taking a majority vote among channels, using the single best channel, and averaging the data across channels for a single ERP. The results from other experiments are compared to those presented here.