SmartAssist™: Adaptive robotic assistance to maximize patient engagement with the Barrett Upper-Extremity Robotic Trainer (Burt)
SmartAssist™:自适应机器人辅助,可最大限度地提高患者与 Barrett 上肢机器人训练器的互动 (Burt)
基本信息
- 批准号:10699140
- 负责人:
- 金额:$ 104.91万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-06-08 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAddressAlgorithmsAreaAttentionClinical ResearchCommunicationCommunitiesDevelopmentElbowEvaluationExerciseFeedbackFocus GroupsFrequenciesGoalsHealthcare SystemsHospitalsHumanImpairmentIndividualIntuitionJointsMedical Care CostsMedical DeviceMethodsModelingMotionMovementOutcomePatient-Focused OutcomesPatientsPerformancePhasePilot ProjectsQuality of lifeQuestionnairesRandomized, Controlled TrialsRecoveryRecovery of FunctionRehabilitation therapyResearch PersonnelResourcesRobotRoboticsRunningSafetySelf-Help DevicesShoulderSmall Business Innovation Research GrantSpecific qualifier valueSpeedSystemTechnologyTestingTimeTorqueTrainingUpper ExtremityVisualWorkassistive robotchronic strokecommercializationcostdata visualizationeffective therapyefficacy evaluationexperiencefunctional improvementimprovedindividualized medicinepatient engagementprototyperobot assistancerobot therapyrobotic systemstroke incidencestroke rehabilitationstroke survivortreatment as usualuser-friendly
项目摘要
Project Summary
In stroke rehabilitation, patient engagement in therapy is critical for improving functional outcomes. Robot-
assisted rehabilitation can provide repeatable, high-intensity therapy tailored to the needs of the patient, while
also decreasing the load on the therapist. The Barrett Upper-Extremity Robotic Trainer (Burt®), an FDA Class-II
medical device developed and sold by Barrett Technology, is a robotic system that provides active assistance in
three dimensions in a large-human scale workspace and an engaging patient interface to enhance therapy.
To enable more individualized treatment and maximize patient engagement while also reducing the burden
on the therapist, we are developing SmartAssist™, a real-time adaptive robotic assistance mode for Burt® that
encourages the patient to use their own volitional movement as much as possible. In previous work, we developed
a functional prototype of the real-time adaptive Burt® system. In this project, we take a user-centered approach
to continued development with goals of (1) enhancing the SmartAssist™ control functionality with tuning and new
features as requested by users; (2) adding advanced data visualization features to identify areas of difficulty;
and (3) conducting a preliminary clinical study to evaluate efficacy in partnership with researchers at Spaulding
Rehabilitation Hospital.
The deliverables of this work are a fully functional adaptive assistive Burt® system with SmartAssist™ includ-
ing several Burt® games using adaptive assistance, an intuitive path specification interface, data visualization to
help therapists quickly identify difficult areas and adapt their training plan, and an understanding of how these
features can improve patient outcomes. We will also complete a randomised controlled trial, providing us with an
understanding of how these features can improve patient outcomes. This will prepare us for potential commer-
cialization of the Burt® SmartAssist™ system, making highly individualized training widely available across the
U.S. on an affordable and user-friendly platform.
项目摘要
在中风康复中,患者参与治疗对于改善功能结果至关重要。机器人-
辅助康复可以提供针对患者需求量身定制的可重复的高强度疗法,而
还减少治疗师的负载。 Barrett上超级机器人教练(Burt®),FDA II
由Barrett Technology开发和出售的医疗设备是一种机器人系统,可在
大型量表工作区和引人入胜的患者界面以增强治疗的三个维度。
为了实现更多个性化的治疗和最大的患者参与,同时还可以减少烧伤
在治疗师上,我们正在开发SmartAssist™,这是Burt®的实时自适应机器人援助模式,
鼓励患者尽可能多地使用自己的自愿运动。在以前的工作中,我们开发了
实时自适应Burt®系统的功能原型。在这个项目中,我们采用以用户为中心的方法
通过(1)通过调整和新的新的SmartAssist™控制功能的目标继续开发。
按用户要求的功能; (2)添加高级数据可视化功能以识别难度的领域;
(3)进行初步临床研究以与Spaulding的研究人员合作评估效率
康复医院。
这项工作的可交付成果是具有SmartAssist™的功能齐全的自适应辅助BURT®系统。
使用自适应帮助,直观路径规范接口,数据可视化到
帮助治疗师迅速确定困难领域并调整其培训计划,并了解这些领域
功能可以改善患者的预后。我们还将完成一项随机对照试验,为我们提供
了解这些功能如何改善患者的结果。这将使我们为潜在的商业做好准备
Burt®SmartAssist™系统的认证,使高度个性化的培训在整个中广泛使用
美国在负担得起且用户友好的平台上。
项目成果
期刊论文数量(0)
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