TY - GEN
T1 - Using topographical channel distribution to decode movement directions from Local Field Potentials
AU - Tadipatri, Vijay Aditya
AU - Tewfik, Ahmed H.
AU - Ashe, James
AU - Pellizer, Giuseppe
AU - Gupta, Rahul
PY - 2011
Y1 - 2011
N2 - In Brain Machine Interface (BMI), movement direction can be decoded using intra-cortical recordings such as Local Field Potentials (LFP). Due to the natural instability and non-stationarity of these recordings, it is difficult to develop decoders that remain consistent over time and are not affected by learning. This paper uses qualitative information based on the temporal and spatial distribution of inter-channel ranking. The image block processing technique is exploited, and the distribution of top ranked channels is calculated. We use this spatio-temporal distribution information to decode the movement direction via a maximum likelihood estimator. Our results indicate that the decoding power is consistent over a period of two weeks. On an average, we obtain an average classification accuracy of 51.9% versus 33.2% from traditional state-of-the-art technique over a two week period.
AB - In Brain Machine Interface (BMI), movement direction can be decoded using intra-cortical recordings such as Local Field Potentials (LFP). Due to the natural instability and non-stationarity of these recordings, it is difficult to develop decoders that remain consistent over time and are not affected by learning. This paper uses qualitative information based on the temporal and spatial distribution of inter-channel ranking. The image block processing technique is exploited, and the distribution of top ranked channels is calculated. We use this spatio-temporal distribution information to decode the movement direction via a maximum likelihood estimator. Our results indicate that the decoding power is consistent over a period of two weeks. On an average, we obtain an average classification accuracy of 51.9% versus 33.2% from traditional state-of-the-art technique over a two week period.
KW - Brain Computer Interface
KW - Local Field Potentials
KW - Maximum Likelihood Estimator
UR - http://www.scopus.com/inward/record.url?scp=80055046630&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80055046630&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2011.5872764
DO - 10.1109/ISBI.2011.5872764
M3 - Conference contribution
AN - SCOPUS:80055046630
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1835
EP - 1838
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Y2 - 30 March 2011 through 2 April 2011
ER -