PostureCheck: A vision-based compensatory-posture-detection tool to enhance performance of the BURT® upper-extremity stroke-therapy device

PostureCheck：一种基于视觉的补偿姿势检测工具，可增强 BURT® 上肢中风治疗设备的性能

• 批准号: 10156853
• 负责人: Paolo Bonato
• 金额: $ 81.34万
• 依托单位: BARRETT TECHNOLOGY, LLC
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-22 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10156853
• 关键词: Activities of Daily Living; Adult; American; Architecture; Artificial Intelligence; Chronic; Clinic; Clinical Research; Complement; Data; Data Set; Detection; Devices; Ensure; Exercise; Exercise Therapy; Feedback; Future; Goals; Group Therapy; Hand; Individual; Intervention; Intervention Studies; Intuition; Learning; Machine Learning; Measures; Medical Device; Monitor; Motion; Motor; Movement; Names; Nervous System Trauma; Occupational Therapist; Outcome; Patient Education; Patients; Pattern; Performance; Phase; Physiological; Posture; Psychological Transfer; Quality of life; Randomized Clinical Trials; Rehabilitation Centers; Rehabilitation device; Rehabilitation therapy; Research Personnel; Research Project Grants; Robot; Robotics; Side; Small Business Innovation Research Grant; Stroke; Structure; Supervision; Survivors; System; Techniques; Technology; Therapeutic; Time; United States National Institutes of Health; Upper Extremity; Vision; Weight; Work; arm; arm movement; base; chronic stroke; cost; cost effective; cost efficient; deep learning; design; disability; dosage; exercise rehabilitation; experience; functional independence; haptic feedback; image processing; improved; improved functioning; interest; motor impairment; motor learning; motor recovery; preservation; recruit; robot assistance; robot rehabilitation; robotic system; software development; stroke patient; stroke rehabilitation; stroke survivor; stroke therapy; tool; visual feedback

Project Summary/Abstract This Small Business Innovation Research (SBIR) Phase-II project proposes the deployment of an AI-powered image-processing tool, named PostureCheck™, to automatically detect when patients perform undesirable compensatory movements during robot-assisted upper-extremity (UE) rehabilitation exercises. The system is based on a standard video camera and the artificial intelligence (AI) software developed under the NIH Phase-I project. PostureCheck™ will be fully integrated with Barrett Technology's existing Burt® UE rehabilitation robot, ensuring that patients are provided appropriate and timely feedback to encourage the correct performance of therapeutic exercises without requiring constant therapist supervision. Burt® is an FDA-listed UE rehabilitation robot that supports the weight of a patient's arm and hand while the patient moves his/her arm to interact with on-screen games. Burt® offers guided assistance, visual and haptic feedback, and activities and assessments to both help train the patient and measure progress. Clinical studies have shown that Burt® can be used to improve patients' performance in one-on-one sessions with a therapist. However, the system lacks the capability for a single therapist to monitor and work with several patients and Burt® systems at one time. The proposed SBIR Phase-II activities are organized in three aims. In Aim 1, the annotated dataset generated in Phase-I will be used to develop three separate AI modules. These modules will be integrated into a framework that allows therapists to monitor the outcome of the modules, and, through feedback, enable the system to auto- adapt to improve performance continuously. In Aim 2, stakeholder feedback will be gathered and integrated to design multiple user interfaces for the PostureCheck™ tool. Specific interfaces will be created for use by therapists during and after RT sessions. PostureCheck™ will be integrated with the Burt® device to empower therapists to provide effective feedback to patients and deter the use of compensatory movements. Finally, in Aim 3, forty-two stroke survivors will be recruited in an interventional study deploying the PostureCheck™ and Burt® systems. Subjects will undergo eighteen RT sessions in either an individual or group therapy format. Motor performance between groups will be compared to gather information about the suitability of the combined systems for multi-patient RT therapy in future rehabilitation centers. The long-term commercial goal of the project is to provide a practical Burt®-plus-PostureCheck™ system to empower therapists to supervise multiple patients simultaneously through a gamut of useful functionalities. The system will be suitable for deployment in clinics as well as rehabilitation centers such as wellness gyms.

项目总结/文摘