TY - JOUR
T1 - Amplitude Quantization of Event Related Potentials for Brain-Computer Interfaces
AU - Krusienski, Dean J.
AU - Townsend, George
AU - Sellers, Eric W.
PY - 2009/10/27
Y1 - 2009/10/27
N2 - As neural interfaces continue to progress toward practical applications, there is increased demand for smaller, more efficient and cost effective devices. Event related potentials (ERPs) have recently been demonstrated to be reliable for practical communication in disabled individuals using the P300 Speller paradigm. With the objective of simplifying the processing of ERPs in order to minimize the hardware/computational requirements, and therefore the power consumption (for increased battery life for wireless, etc.), this study examines the effects of the analog-to-digital converter amplitude quantization on the ERP classification accuracy for the P300 Speller.
AB - As neural interfaces continue to progress toward practical applications, there is increased demand for smaller, more efficient and cost effective devices. Event related potentials (ERPs) have recently been demonstrated to be reliable for practical communication in disabled individuals using the P300 Speller paradigm. With the objective of simplifying the processing of ERPs in order to minimize the hardware/computational requirements, and therefore the power consumption (for increased battery life for wireless, etc.), this study examines the effects of the analog-to-digital converter amplitude quantization on the ERP classification accuracy for the P300 Speller.
KW - P300 speller
KW - analog-to-digital conversion
KW - stimulus evoked potentials
UR - https://dc.etsu.edu/etsu-works/17363
UR - https://doi.org/10.1109/NER.2009.5109369
U2 - 10.1109/NER.2009.5109369
DO - 10.1109/NER.2009.5109369
M3 - Article
JO - 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09
JF - 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09
ER -