Deployment of a Mobile Broadband BCI
Deployment of a Mobile Broadband BCI
批准号:
10661494
负责人:
John David Simeral
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-01 至 2023-06-30
关键词:
AdoptedAlgorithmic SoftwareAlgorithmsAmyotrophic Lateral SclerosisArtificial ArmAssessment toolAuthorization documentationBedsBiteBrainCalibrationCaregiversCharacteristicsChargeClinical TrialsCodeCommunicationComputer softwareComputersCustomDataData CollectionDedicationsDetectionDevicesElectronic MailEvaluationEventFundingFutureGoalsHandHomeImplantImplanted ElectrodesIndividualInstitutional Review BoardsInternetInterventionIntuitionLanguageLawsLifeLimb structureLocked-In SyndromeLogicManualsMeasuresMedical DeviceMethodsMonitorMovementMuscleNeurologicParalysedParticipantPatientsPatternPerformancePeriodicalsProceduresProcessPublishingQuadriplegiaQuestionnairesResearchScheduleSelf-Help DevicesSignal TransductionSiteSpeedSpinal cord injuryStreamStrokeSupervisionSurveysSystemSystems IntegrationTabletsTechnologyTestingTimeTrainingTranslatingUnited StatesUnited States National Aeronautics and Space AdministrationUser-Computer InterfaceVeteransWheelchairsWorkWritinganimationarmassistive robotauthoritybrain computer interfacecomputing resourcesdesigndigitalengineering designexpectationexperiencegrasphandheld mobile deviceimprovedindexinginnovationinstrumentkinematicsmobile applicationmobile computingneuralneuroregulationneurotransmissionnext generationnoveloperationprogramsprototypesatisfactionsignal processingusabilitywirelesswireless fidelity
中文摘要
点击翻译按钮获取中文摘要
英文摘要
1 Intracortical neural interfaces, which record and analyze streams of neural signals recorded
2 from arrays of electrodes implanted in the brain, can enable fast, accurate, intuitive control of
3 enabling assistive technologies for individuals with paralysis arising from spinal cord injury as
4 well as other neurological conditions including stroke and ALS. Individuals with tetraplegia in the
5 pilot clinical trial of the BrainGate (IDE*) intracortical neural interface system use imagined
6 movements of their own paralyzed hand and arm to command point-and-click with a computer
7 cursor (on-screen typing, communication apps such as chat, web browsing) and to control
8 assistive devices including the DEKA prosthetic arm/hand, assistive robots and even reach and
9 grasp with one’s own paralyzed limb reanimated through patterned stimulation of the paralyzed
10 muscles. These BrainGate activities take place in study participants’ homes, but the need for a
11 recording cable tethered between the participant and a large rack of signal processing
12 computers dictates that the iBCI can only be used under direct technical supervision during
13 dedicated research periods. However, with the recent availability of a high-bandwidth, miniature
14 wireless neural signal transmitter (to eliminate the tethering cable) and a state-of-the-art
15 compact signal processing device with sufficient computational resources to execute the
16 BrainGate algorithms, the components are available to enable trial participants and caregivers
17 to use and administer a wireless, mobile intracortical brain-computer interface (iBCI) at home to
18 enable on-demand digital access throughout day and night and throughout the home.
19 This study aims to evaluate the feasibility and utility of an iBCI deployed in a mobile package
20 for independent use at home without technical supervision. In addition to evaluating the new
21 mobile platform, this will demonstrate the first-ever in-home use of an intracortical BCI without
22 direct technical oversight. End users and caregivers will be trained to configure and operate the
23 iBCI. With the iBCI mounted to their wheelchair and a chair-mounted consumer tablet, end
24 users with tetraplegia will be able to use their own imagined arm and hand movements to
25 control familiar tablet “apps” on demand anywhere in the home. Moving the mobile iBCI to the
26 bedside will enable tablet use from bed or neural signal monitoring through the night.
27 Before deployment, the current prototype mobile iBCI - developed in recent VA funded
28 research - will be provisioned with the most recent state-of-the-art signal processing and neural
29 decoding algorithms developed in the BrainGate pilot clinical trial. This will involve translating
30 those real-time software algorithms into hardware description language to program the ultra-
31 low-power System-on-Chip device. Recent algorithms to be incorporated will enable rapid,
32 automatic calibration of the BCI without expert intervention; maintain calibration over longer
33 periods of time to reduce the need for explicit recalibration steps; and improve the speed and
34 accuracy of cursor trajectories derived from the user’s neural signals. Each of three users will
35 evaluate the system over a continuous 5 to 10 day period, and repeat the home assessment in
36 at least 3 consecutive months. Throughout, the technical operation of the BCI system and the
37 BrainGate algorithms will be monitored and evaluated quantitatively. In addition, user and
38 caregivers will complete questionnaires measuring their evolving satisfaction with the system
39 and its utility. Analyses of these cumulative data will inform future device improvements.
40 *CAUTION:Investigational Device.Limited by Federal (United States) Law to Investigational Use
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会议论文
Enhancement and optimization of a mobile iBCI for Veterans with paralysis
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批准号:10538008
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项目类别:
-
资助金额:$0.0万
-
财政年份:2022
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负责人:John David Simeral
-
依托单位:
Enhancement and optimization of a mobile iBCI for Veterans with paralysis
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批准号:10674504
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项目类别:
-
资助金额:$0.0万
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财政年份:2022
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负责人:John David Simeral
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依托单位:
Deployment of a Mobile Broadband BCI
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批准号:10339314
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项目类别:
-
资助金额:$0.0万
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财政年份:2018
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负责人:John David Simeral
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依托单位:
Mobile Signal Processing System for Broadband Neural Decoding
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批准号:9000722
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项目类别:
-
资助金额:$0.0万
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财政年份:2014
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负责人:John David Simeral
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依托单位:
Mobile Signal Processing System for Broadband Neural Decoding
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批准号:8597512
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项目类别:
-
资助金额:$0.0万
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财政年份:2014
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负责人:John David Simeral
-
依托单位:
Mobile Signal Processing System for Broadband Neural Decoding
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批准号:9186959
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项目类别:
-
资助金额:$0.0万
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财政年份:2014
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负责人:John David Simeral
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依托单位:
海外基金