{"title":"An IoT-enabled omnidirectional mobile system for home-based rehabilitation of upper and lower limbs","authors":"Lian-Wang Lee , Shih-Ting Wang , I-Hsum Li","doi":"10.1016/j.iot.2025.101525","DOIUrl":null,"url":null,"abstract":"<div><div>Robotic systems have made significant strides in stroke rehabilitation, evolving from prototypes to clinical applications. However, challenges remain, including limited clinic accessibility, high costs, bulky equipment, and a lack of versatility for upper and lower limb therapy. Integration into home environments also poses difficulties. To address these issues, we introduce OmniRehab, an innovative home-based rehabilitation system tailored for stroke patients with hemiplegia. OmniRehab combines upper and lower limb rehabilitation on a single omnidirectional platform, supporting both passive and active training modes to accommodate different recovery stages. In passive mode, it provides guided assistance, while in active mode, it promotes voluntary muscle control and neuromuscular re-education. The system leverages Internet of Things (IoT) technology for real-time remote supervision, enabling clinicians to monitor progress and adjust training programs dynamically. To enhance engagement, OmniRehab includes virtual rehabilitation games, offering immersive training that motivates patients while helping them master complex tasks. Experimental validation confirms its effectiveness, demonstrating OmniRehab as a cost-efficient, versatile solution for home-based stroke rehabilitation.</div></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":"30 ","pages":"Article 101525"},"PeriodicalIF":6.0000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet of Things","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542660525000381","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Robotic systems have made significant strides in stroke rehabilitation, evolving from prototypes to clinical applications. However, challenges remain, including limited clinic accessibility, high costs, bulky equipment, and a lack of versatility for upper and lower limb therapy. Integration into home environments also poses difficulties. To address these issues, we introduce OmniRehab, an innovative home-based rehabilitation system tailored for stroke patients with hemiplegia. OmniRehab combines upper and lower limb rehabilitation on a single omnidirectional platform, supporting both passive and active training modes to accommodate different recovery stages. In passive mode, it provides guided assistance, while in active mode, it promotes voluntary muscle control and neuromuscular re-education. The system leverages Internet of Things (IoT) technology for real-time remote supervision, enabling clinicians to monitor progress and adjust training programs dynamically. To enhance engagement, OmniRehab includes virtual rehabilitation games, offering immersive training that motivates patients while helping them master complex tasks. Experimental validation confirms its effectiveness, demonstrating OmniRehab as a cost-efficient, versatile solution for home-based stroke rehabilitation.
期刊介绍:
Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.
The journal will place a high priority on timely publication, and provide a home for high quality.
Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.