NDLI: Control of a biomimetic brain machine interface with local field potentials: Performance and stability of a static decoder over 200 days

Content Provider	IEEE Xplore Digital Library
Author	Flint, R.D. Wright, Z.A. Slutzky, M.W.
Copyright Year	2012
Description	Author affiliation: Feinberg Sch. of Med., Depts. of Neurology, Physiol. & Phys. Med. & Rehabilitation, Northwestern Univ., Chicago, IL, USA (Slutzky, M.W.) \|\| Feinberg Sch. of Med., Dept. of Neurology, Northwestern Univ., Chicago, IL, USA (Flint, R.D.; Wright, Z.A.)
Abstract	Brain-machine interfaces (BMIs) have the potential to restore lost function to individuals with severe motor impairments. An important design specification for BMIs to be clinically useful is the ability to achieve high performance over a period of months to years without requiring frequent recalibration. Here, we report the first successful implementation of a biomimetic BMI based on local field potentials (LFPs). A BMI decoder was built from a single recording session of a random-pursuit reaching task for each of two monkeys, and used to control cursor position in real time (online) over a span of 210 days. Performance using this BMI was similar to prior reports using BMIs based on single-unit spikes for 2D cursor control. During this ongoing study, target acquisition rates remained constant (in 1 monkey) or improved slightly (1 monkey) over a 7 month span, and performance metrics of cursor movement (path length and time-to-target) also remained constant or showed mild improvement as the monkeys gained practice. Based on these results, we expect that a stable, high-performance BMI based on LFP signals could serve as a viable alternative to single-unit based BMIs.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	6719
Ending Page	6722
File Size	618617
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347536
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decoding Educational institutions Neuroscience Measurement Correlation USA Councils Kinematics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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