DocumentCode
3185665
Title
Source localization techniques for direction decoding from local field potentials
Author
Tadipatri, Vijay Aditya ; Tewfik, Ahmed H. ; Ashe, James ; Pellizzer, G.
Author_Institution
Univ. of Texas at Austin, Austin, TX, USA
fYear
2013
fDate
3-7 July 2013
Firstpage
838
Lastpage
841
Abstract
Local Field Potential (LFP) recordings are one type of intracortical recordings, (besides Single Unit Activity) that can help decode movement direction successfully. In the longterm however, using LFPs for decoding presents some major challenges like inherent instability and non-stationarity. Our approach to overcome this challenge bases around the hypothesis that each task has a signature source-location pattern. The methodology involves introduction of source localization, and tracking of sources over a period of time that enables us to decode movement direction in an eight-direction center-out-reach-task. We establish that such tracking can be used for long term decoding, with preliminary results indicating consistent patterns. In fact, tracking task related source locations render up to 66% accuracy in decoding movement direction one week after the decoding model was learnt.
Keywords
bioelectric potentials; biomechanics; center-out-reach-task; intracortical recording; local field potential; movement direction decoding; signature source-location pattern; single unit activity; source localization technique; source tracking task; Decoding; Electroencephalography; Lead; Position measurement; Tracking; Training; Trajectory; Local Field Potentials; Movement Decoding; Sparse Source Localization; Action Potentials; Algorithms; Animals; Area Under Curve; Discrimination (Psychology); Macaca mulatta; Male; Movement; Time Factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6609631
Filename
6609631
Link To Document