Hand Rehabilitation using Variable Assistance through Force and EMG Feedback
Hand Rehabilitation using Variable Assistance through Force and EMG Feedback
批准号:
8713494
负责人:
Robert J Knuesel
金额:
$21.0万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-01 至 2016-08-31
关键词:
Activities of Daily LivingAdultAffectBiomedical EngineeringBiomedical TechnologyCause of DeathChicagoChronicClassificationComplexComputer softwareConsultDetectionDevelopmentDevicesDoctor of MedicineDoctor of PhilosophyEvaluationFaceFeedbackFingersGoalsHandHand functionsIllinoisInstitutesIntentionLaboratoriesLimb structureMeasurementMedicalMotionMovementMuscleParalysedPatient SelectionPatientsPattern RecognitionPhasePhysical MedicinePhysical RehabilitationPrincipal InvestigatorRecoveryRehabilitation therapyResearchResearch PersonnelRobotRoboticsScientistSensory Motor PerformancesSideStrokeSurfaceSurvivorsSymptomsSystemTechniquesTechnologyTestingTherapeuticTherapeutic EffectThumb structureTrainingUnited StatesUniversitiesUpper ExtremityWorkarmbaseconventional therapycost effectivedensitydesigndisabilityexoskeletonexperiencefunctional losshand rehabilitationhealth related quality of lifehemiparetic strokehuman studyhuman subjectimprovedinnovationlimb movementmotor controlmotor learningnovelprofessorprogramsprototypepublic health relevancerestorationsensory feedbackskillsstroke rehabilitationstroke therapy
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): This project proposes to develop and evaluate a hand rehabilitation system for chronic hemiparetic stroke survivors that have lost their ability to full control their hand. Stroke is the leading cause of adult disability, and is the third leading cause
of death in the United States. Stroke survivors often face a significant loss of functional motor control in the upper limbs of the contralesional side of the body. Restoration of upper limb function is particularly difficult due to its enormous complexity. User control of hand movement is crucial to regaining correct central motor control. It has been shown that the paralyzed hand can be improved through repetitive training of isolated movements. This program will direct development efforts towards a hand rehabilitation system that provides adaptive assistance as needed during physical rehabilitation based on feedback from both the user's volitional movement and surface electromyogram (EMG) measurements. Pattern recognition techniques will be utilized with the EMG input to determine the user's intended complex hand movement. User input is incorporated during therapeutic training maneuvers to set the appropriate level of assistance to promote efficient motor learning in stroke survivors.
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