BCI Controlled Walking Simulator For A BCI Driven FES Device
s,NevadaMaking Assistive Technology and Rehabilitation Engineering a Sure BetBCI Controlled Walking Simulator For a BCIDriven FES DevicePo T. Wang, MS*, Christine King, MS*, Luis A. Chui, MD**, ZoranNenadic*, DSc*, An Do, MD***Biomedical Engineering Department- University of California, Irvine,Irvine, CA 92697**Department of Neurology, School of Medicine- University ofCalifornia, Irvine, Irvine, CA 92697ABSTRACTToassessthefeasibilityofusinganEEG- - nganEEG- heonlyFDA- logy.Copyright 9- ‐1903Phone:(703)524- ‐6686- ‐Fax:(703)524- ‐66301
s,NevadaMaking Assistive Technology and Rehabilitation Engineering a Sure indevelopingthisintegratedBCI- hedesignandsuccessfulimplementaAonofanEEG- vatar.RESEARCH exploitedfortheoperaAonofanonline,real- thesis,wecanassessthefeasibilityofintegraAnganEEG- le,ages22- elsofa10- ode.Thesignalswereamplified,band- ‐passfiltered(0.01- 3- lking.Copyright 9- ‐1903Phone:(703)524- ‐6686- ‐Fax:(703)524- ‐66302
s,NevadaMaking Assistive Technology and Rehabilitation Engineering a Sure .EEGsignalswerefirstdividedinto4- to26Hzwerecalculatedin2- 20- ‐Ddataforeachtrial(10Photo 1: EEG Placement lysis(8)wasthenusedtoreducetheinputdimensionto1- dinreal- ‐Ame.Acustom- edforthispurpose.A3- erson,“over- ‐the- seriesof10“non- softrainingdatarevealedthatsubjectshad oto 2: Virtual Reality enthetwostates(pvalue2.9869e- ‐014).Copyright 9- ‐1903Phone:(703)524- ‐6686- ‐Fax:(703)524- ‐66303
s,NevadaMaking Assistive Technology and Rehabilitation Engineering a Sure stafemptatcompleAngtheassignedtask.Subject1had8.50 0.71NPC(mean .00 29sec.Subject3averaged7.00 7 ntrol(p ementaAonofareal- BCI- aybefeasible.SubjectAverage Time to Completion1Score (Number of stops at NPCs out of atotal score of 10)8.50 0.7128.00 1.00229 sec37.00 2.16103 secRandom Walk2.70 1.3076 sec162 secTable 1: BCI Control of Avatar esseenherearefromasingleexperimentalsessionforBCI- ohelpimprovetheperformance.Copyright 9- ‐1903Phone:(703)524- ‐6686- ‐Fax:(703)524- ‐66304
s,NevadaMaking Assistive Technology and Rehabilitation Engineering a Sure techniqueextendstotheseindividuals.REFERENCES1. sinBrainResearch.128(3):405- ‐409(1999).2. uppR.‘ Thought’- s.351(1):33- ‐36(2003).3. ectricalSAmulaAon- ‐AssistedGaitwithParastepinSpinalCord- ‐InjuredPaAents.Spine.25(4):501- ‐508(2000).4. ngneuralprostheAcs.JNeuralEng.6(5):55003(2009).5. rKR.TowardsBrain- ss(2007).6. ghanTM.Brain- nicalNeurophysiology.113(6):767- ‐791(2002).7. n- ‐ComputerInterface.IEEET.Bio- ‐med.Eng.56(8):2114- ‐2122(2009).8. xtracAontechnique,PafernRecogn.41(5):1548- ‐1557(2008).9. LeebR,FriedmanD,Müller- ‐PutzGR,SchererR,SlaterM,PfurtschellerG.Self- IntellNeurosci:79642(2007).10. BirbaumerN,MurguialdayAR,CohenL.Brain- ;21(6):634- ‐8(2008).Copyright 9- ‐1903Phone:(703)524- ‐6686- ‐Fax:(703)524- ‐66305
s,NevadaMaking Assistive Technology and Rehabilitation Engineering a Sure edSpinalCordInjuryResearchFundofCalifornia.(RR08- ‐258,andRR10- ‐281).Author Contact Irvine,CA92697,Phone:949- ‐892- ‐3652,Email:ptwang@uci.eduCopyright 9- ‐1903Phone:(703)524- ‐6686- ‐Fax:(703)524- ‐66306
1 BCI Controlled Walking Simulator For a BCI Driven FES Device Po T. Wang, MS*, Christine King, MS
The Team Mike Velten, Assistant Deputy Superintendent, DNA & FB Liz Benzinger, BCI DNA, Technical Leader/QA Manager Lewis Maddox, BCI-Richfield Lab Director Lynn Bolin, BCI-London DNA Lab Director Jen Duvall, BCI-Bowling Green, Acting Lab Director Amy Wanken, BCI-London, FB Lab Director Becki Hager, BCI-London, Office Assi
BCI and VERSA-LAM products shall be installed in dry-use applications only, per their respective ICC ESR evaluation reports. BCI 5000s 1.8 ⅜" 1⅛" 9½" 11⅞" 14" 2" BCI 6000s 1.8 ⅜" 9½" 11⅞" 14" 16" 2 5/16" BCI 6500s 1.8 BCI 60s 2.0 ⅜" 11⅞" 14" 16" 2/16" BCI 90s 2.0 ⅜" 11⅞" 16" 3½" VER
BCI and VERSA-LAM products shall be installed in dry-use applications only, per their respective ICC ESR evaluation reports. BCI 5000s 1.8 ⅜" 1⅛" 9½" 11⅞" 14" 2" BCI 6000s 1.8 ⅜" 9½" 11⅞" 14" 16" 25/16" BCI 6500s 1.8 BCI 60s 2.0 ⅜" 11⅞" 14" 16" 25/16" BCI 90s 2.0 ⅜" 11⅞" 16" 3½" VERSA
discipline “Brain-Computer Interface Race”. A brain-computer interface (BCI) is a device facilitating control of applications via the user’s thoughts. Prominent applications include assistive technology such as wheelchairs, neuroprostheses or communication devices. In the CYBATHLON BCI Race, pilots compete in a BCI-controlled computer game.
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