Movement direction decoding of local field potentials using time-evolving spatial patterns

Vijay Aditya Tadipatri, Ahmed H. Tewfik, James Ashe, Giuseppe Pellizzer, Rahul Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A main disadvantage of using intra-cortical recordings for Brain Computer Interface (BCI) is their inherent non-stationarity and instability. Thus developing direction decoders for Local Field Potentials (LFP) that are robust over time becomes a difficult task. In this paper, we show the superior performance of qualitative information over the absolute power of the recorded signals by introducing a novel method, that uses time-evolving spatial patterns. This method over-performs the baseline method by 30% on an average over a two week testing period and provides a bit-rate of 0.98 per trial. Further, these spatial-patterns provide robustness against learning when new field-forces are introduced.

Original languageEnglish (US)
Title of host publication2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
Pages392-395
Number of pages4
DOIs
StatePublished - Jul 20 2011
Event2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011 - Cancun, Mexico
Duration: Apr 27 2011May 1 2011

Publication series

Name2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011

Other

Other2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011
Country/TerritoryMexico
CityCancun
Period4/27/115/1/11

Fingerprint

Dive into the research topics of 'Movement direction decoding of local field potentials using time-evolving spatial patterns'. Together they form a unique fingerprint.

Cite this