A Flexible Clinician-Friendly Interface for Upper Limb Rehabilitation with Industrial Robots.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Pub Date : 2025-05-01 DOI:10.1109/ICORR66766.2025.11063000

Chiara Alessi, Nikolas Sacchi, Antonella Ferrara

{"title":"A Flexible Clinician-Friendly Interface for Upper Limb Rehabilitation with Industrial Robots.","authors":"Chiara Alessi, Nikolas Sacchi, Antonella Ferrara","doi":"10.1109/ICORR66766.2025.11063000","DOIUrl":null,"url":null,"abstract":"<p><p>This paper presents a flexible software with a Graphical User Interface (GUI) designed to assist clinicians in upper limb robotic rehabilitation sessions. The flexibility comes from the fact that, since it relies on the Robot Operating System 2 (ROS2) framework, it is potentially compatible with any collaborative industrial robot, with relatively low integration effort. The software collects and analyzes data related to each session to identify critical movement directions for each patient, detecting improvements or regressions through statistical tests, thus reducing subjectivity. Moreover, it suggests personalized physical and cognitive rehabilitation exercises focusing on the most critical movement directions. Results are visualized through intuitive graphs, allowing clinicians to design custom trajectories tailored to each patient's needs. The software has been tested in combination with a Franka Emika Panda robot proving its seamless integration and ability to process data in real time.</p>","PeriodicalId":73276,"journal":{"name":"IEEE ... International Conference on Rehabilitation Robotics : [proceedings]","volume":"2025 ","pages":"749-754"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE ... International Conference on Rehabilitation Robotics : [proceedings]","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORR66766.2025.11063000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

This paper presents a flexible software with a Graphical User Interface (GUI) designed to assist clinicians in upper limb robotic rehabilitation sessions. The flexibility comes from the fact that, since it relies on the Robot Operating System 2 (ROS2) framework, it is potentially compatible with any collaborative industrial robot, with relatively low integration effort. The software collects and analyzes data related to each session to identify critical movement directions for each patient, detecting improvements or regressions through statistical tests, thus reducing subjectivity. Moreover, it suggests personalized physical and cognitive rehabilitation exercises focusing on the most critical movement directions. Results are visualized through intuitive graphs, allowing clinicians to design custom trajectories tailored to each patient's needs. The software has been tested in combination with a Franka Emika Panda robot proving its seamless integration and ability to process data in real time.

查看原文本刊更多论文

工业机器人上肢康复的柔性临床友好界面。

本文提出了一个灵活的软件与图形用户界面（GUI），旨在协助临床医生上肢机器人康复会议。灵活性来自于这样一个事实：由于它依赖于机器人操作系统2 （Robot Operating System 2, ROS2）框架，它可能与任何协作工业机器人兼容，而集成工作相对较低。该软件收集和分析每个疗程的相关数据，确定每个患者的关键运动方向，通过统计检验发现改善或倒退，从而减少主观性。此外，它还建议针对最关键的运动方向进行个性化的身体和认知康复训练。结果通过直观的图形可视化，允许临床医生根据每个患者的需求设计定制的轨迹。该软件已经与Franka Emika Panda机器人结合进行了测试，证明了其无缝集成和实时处理数据的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]

CiteScore

0.50

自引率

0.00%

发文量