A Patient-Driven Rehabilitation System to Improve Upper Limb Amputee Outcomes
A Patient-Driven Rehabilitation System to Improve Upper Limb Amputee Outcomes
批准号:
8315190
负责人:
Rahul Reddy Kaliki
金额:
$19.75万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-04-01 至 2014-07-23
关键词:
Action ResearchAlgorithmsAmputationAmputeesBoxingCaliforniaClinicalClinical TrialsCollaborationsComputer softwareControlled StudyDevelopmentDistrict of ColumbiaElectrodesElectromyographyEnsureEnvironmentEvaluationFeedbackFingersFoundationsFrequenciesGenerationsGoalsHandHome environmentHospitalsHourIndividualLengthLimb structureMeasuresMedical DeviceMethodologyMonitorMotorMotor SkillsMovementMuscleMyoelectric prosthesisNamesOutcomeParticipantPatientsPatternPattern RecognitionPerformancePhasePilot ProjectsProbabilityProcessProsthesisRecoveryRehabilitation therapyResidual stateRewardsSiteSolidSolutionsSurfaceSystemTechnologyTestingThumb structureTimeTrainingUniversitiesUpper ExtremityVideo GamesVisionWorkWristarmbasecommercializationdesignempoweredimprovedindexinginnovationmotor skill learningneuromuscular functionnext generationnovelprogramsskillsvisual feedback
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): A new generation of dexterous prosthetic hands is becoming available, which are capable of a greater number of functions than conventional prostheses. To enable this increased functionality, we have pioneered a novel control platform which includes a surface electromyography (EMG) pattern recognition algorithm called MyoSense and a first-of-its-kind multi-channel conformal electrode interface called MyoLiner. The combination of these two technologies has allowed us, for the first time, to give amputees the ability to point their index finger and operate their thumb independently in addition to the conventional hand open and close functionality. This technology has the potential to shift the paradigm in prosthetic control for the first time in over 50 years. In order to maximize the impact
and accuracy of the technology, rehabilitation therapy is required, ideally within a 30-day "golden window" following amputation. However, the realities of patient fitting and medical device reimbursement often delay the introduction of the prosthesis well beyond this period. Based on these considerations, we propose to integrate the innovative MyoLiner and MyoSense technologies with game-based training software into a complete patient-driven rehabilitation system named MyoTrain. Through our partnership with the top ranked video game design program at the University of Southern California, MyoTrain will be specifically designed to: 1) enable patients to practice using myoelectric control as early as possible during the "golden window", 2) empower individuals to determine their own functional goals , 3) provide meaningful feedback to optimize a patient's ability to control their residual limb muscles, and 4) maximize the patient's engagement through exciting gameplay and meaningful rewards. At the conclusion of this development, we will validate the entire MyoTrain system, after 20 hours of use spread over 8 weeks, on clinically-validated upper limb functionality measures with transradial amputees. The study will be conducted by our partners at the Arm Amputee Program at the National Rehabilitation Hospital in Washington D.C. Upon completion of 20 hours of rehabilitation with the MyoTrain therapy, amputees will be expected to operate at least 6 functions independently with statistically significant improvements in real-time decoding accuracies and on the upper extremity functionality measures. With this improved functionality, we seek to usher in a new era of prosthetic control and improve the effective functionality of dexterous prosthetic devices.
PUBLIC HEALTH RELEVANCE: We propose developing novel rehabilitation system that will help amputees strengthen residual limb muscles and regain upper extremity functionality using dexterous myoelectric prostheses.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
A Training Strategy for Learning Pattern Recognition Control for Myoelectric Prostheses.
肌电假肢学习模式识别控制的训练策略。
DOI:
10.1097/jpo.0b013e31827af7c1
发表时间:
2013
期刊:
Journal of prosthetics and orthotics : JPO
影响因子:
--
作者:
[Powell,MichaelA, Thakor,NitishV]
通讯作者:
Thakor,NitishV
Regulatory clearance of the Glide Control Strategy for Upper Limb Prostheses
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批准号:10603007
-
项目类别:
-
资助金额:$87.33万
-
财政年份:2023
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Regulatory clearance of a rehabilitation system for individuals with upper limb loss
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批准号:10328954
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项目类别:
-
资助金额:$99.96万
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财政年份:2021
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Regulatory clearance of a rehabilitation system for individuals with upper limb loss
-
批准号:10710335
-
项目类别:
-
资助金额:$123.73万
-
财政年份:2021
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Regulatory clearance of a rehabilitation system for individuals with upper limb loss
-
批准号:10113148
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项目类别:
-
资助金额:$99.99万
-
财政年份:2021
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Development and clinical assessment of a robust, 3D printed titanium, myoelectric powered prosthetic digit system
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批准号:10478231
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项目类别:
-
资助金额:$100.39万
-
财政年份:2021
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Development and clinical assessment of a robust, 3D printed titanium, myoelectric powered prosthetic digit system
-
批准号:10710328
-
项目类别:
-
资助金额:$149.99万
-
财政年份:2021
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Development and clinical assessment of a robust, 3D printed titanium, myoelectric powered prosthetic digit system
-
批准号:10259073
-
项目类别:
-
资助金额:$102.42万
-
财政年份:2021
-
负责人:Rahul Reddy Kaliki
-
依托单位:
User-driven Retrospectively Supervised Classification Updating (RESCU) system for robust upper limb prosthesis control
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批准号:10078697
-
项目类别:
-
资助金额:$6.41万
-
财政年份:2020
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Sonomyographic Upper Limb Prosthetics: A New Paradigm
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批准号:10088450
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项目类别:
-
资助金额:$70.98万
-
财政年份:2020
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Sonomyographic Upper Limb Prosthetics: A New Paradigm
-
批准号:10375604
-
项目类别:
-
资助金额:$65.03万
-
财政年份:2020
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Sonomyographic Upper Limb Prosthetics: A New Paradigm
-
批准号:9887414
-
项目类别:
-
资助金额:$75.96万
-
财政年份:2020
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Sonomyographic Upper Limb Prosthetics: A New Paradigm
-
批准号:10556393
-
项目类别:
-
资助金额:$71.96万
-
财政年份:2020
-
负责人:Rahul Reddy Kaliki
-
依托单位:
User-driven Retrospectively Supervised Classification Updating (RESCU) system for robust upper limb prosthesis control
-
批准号:10021477
-
项目类别:
-
资助金额:$73.33万
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财政年份:2018
-
负责人:Rahul Reddy Kaliki
-
依托单位:
User-driven Retrospectively Supervised Classification Updating (RESCU) system for robust upper limb prosthesis control
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批准号:10013405
-
项目类别:
-
资助金额:$73.56万
-
财政年份:2018
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Joint angle transform based methodology for controlling upper limb prostheses
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批准号:9527238
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项目类别:
-
资助金额:$72.39万
-
财政年份:2017
-
负责人:Rahul Reddy Kaliki
-
依托单位:
MyoFit: A new approach to suspension for upper limb myoelectric prostheses
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批准号:9049104
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项目类别:
-
资助金额:$22.38万
-
财政年份:2016
-
负责人:Rahul Reddy Kaliki
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依托单位:
Wireless Enhanced Myoelectric Control to Improve Upper Extremity Amputee Ability
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批准号:8781329
-
项目类别:
-
资助金额:$22.47万
-
财政年份:2014
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Wireless Enhanced Myoelectric Control to Improve Upper Extremity Amputee Ability
-
批准号:9094740
-
项目类别:
-
资助金额:$71.94万
-
财政年份:2014
-
负责人:Rahul Reddy Kaliki
-
依托单位:
Wireless Enhanced Myoelectric Control to Improve Upper Extremity Amputee Ability
-
批准号:9113970
-
项目类别:
-
资助金额:$72.48万
-
财政年份:2014
-
负责人:Rahul Reddy Kaliki
-
依托单位:
海外基金