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,治疗中的患者参与度对于改善功能效果至关重要。
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尾巴疗法,而
还降低了治疗师。
由Barretttttttttttttttttttttttttttttttt 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并最大化患者参与度,同时减轻了负担
在治疗师上,我们正在开发SmartAssist™,这是burt®Thattthat®That®That®That®That®That®That®That®That®That®That®的实时自适应机器人援助模式®那是。
鼓励患者在以前的工作中尽可能多地使用自己的体力运动。
实时自适应burt®系统的功能原型。
以(1)增强SmartAssist™控制功能和新的新功能的目标继续开发
按用户要求的功能;
(3)进行初步临床研究,以与研究人员合作评估评估
康复医院。
这项工作的可交付成果是一个功能齐全的辅助辅助burt®系统,其中包括SmartAssist™Include-
使用自适应辅助,直觉路径规范接口,数据可视化到
帮助治疗师迅速识别Difficalt领域并改编其培训计划,并对此进行宣传
功能可以改善患者的结果。
了解这些功能如何改善患者的预后。
Burt®SmartAssist™系统的cialization,在您遍布您的高度个性化培训
美国在负担得起且用户煎炸的平台上。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Randie Black-Schaffer其他文献
Randie Black-Schaffer的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似国自然基金
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
相似海外基金
Fluency from Flesh to Filament: Collation, Representation, and Analysis of Multi-Scale Neuroimaging data to Characterize and Diagnose Alzheimer's Disease
从肉体到细丝的流畅性:多尺度神经影像数据的整理、表示和分析,以表征和诊断阿尔茨海默病
- 批准号:
10462257 - 财政年份:2023
- 资助金额:
$ 104.91万 - 项目类别:
Bioethical, Legal, and Anthropological Study of Technologies (BLAST)
技术的生物伦理、法律和人类学研究 (BLAST)
- 批准号:
10831226 - 财政年份:2023
- 资助金额:
$ 104.91万 - 项目类别:
High-resolution cerebral microvascular imaging for characterizing vascular dysfunction in Alzheimer's disease mouse model
高分辨率脑微血管成像用于表征阿尔茨海默病小鼠模型的血管功能障碍
- 批准号:
10848559 - 财政年份:2023
- 资助金额:
$ 104.91万 - 项目类别:
A computational model for prediction of morphology, patterning, and strength in bone regeneration
用于预测骨再生形态、图案和强度的计算模型
- 批准号:
10727940 - 财政年份:2023
- 资助金额:
$ 104.91万 - 项目类别:
GPU-based SPECT Reconstruction Using Reverse Monte Carlo Simulations
使用反向蒙特卡罗模拟进行基于 GPU 的 SPECT 重建
- 批准号:
10740079 - 财政年份:2023
- 资助金额:
$ 104.91万 - 项目类别: