Intelligent frozen shoulder rehabilitation

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106918

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106918

Title:	Intelligent frozen shoulder rehabilitation
Authors:	葉士青;Huang, Ming-Chun;Lee, Si-Huei;Yeh, Shih-Ching;Chan, Rai-Chi;Rizzo, Albert;Xu, Wenyao;Han-Lin, Wu;Shan-Hui, Lin
Contributors:	資訊電機學院資訊工程學系
Keywords:	Adjustable;e-medicine;Exercise;Feedback;Freezing;Frozen;frozen shoulder;intelligent systems;Joints;Medical serices;Movement;Musculoskeletal diseases;Pain;Patient rehabilitation;Patients;Real-time systems;Rehabilitation;Shoulder;Shoulders;Sports training;Training;virtual reality
Date:	2014-01-01
Issue Date:	2026-04-23 13:48:40 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;Los Alamitos: IEEE
Abstract:	摘要： Frozen shoulder, or adhesive capsulitis, which reportedly affects 2â5 percent of the general population, is a shoulder condition characterized by painful and limited active and passive range of motion. The main treatment involves applying proper shoulder exercises and joint mobilization to break up adhesions at the joint capsules and improve joint mobility and functions. However, due to a lack of persistence, not all patients complete rehabilitation. To address this concern, this study focused on providing interactive treatments to encourage patients to participate in regular rehabilitation. Patients can inquire freely about their rehabilitation progress with real-time sensing and game-based feedback. In addition, six progressive and hierarchical training tasks make each training step adjustable based on the patient's physical condition. The authors used standard randomized clinical trial criterion to recruit 40 patients for a sequence of trials over a four-week period. The evaluation of the study group revealed that shoulder joint mobility and muscle strength of the patients significantly improved compared to that achieved by the traditional rehabilitation method. 其他題名： MIS 出版者： Los Alamitos: IEEE 出版日期： 2014-05-01 出處： IEEE intelligent systems, 2014-05, Vol.29 (3), p.22-28 資源來源： IEEE Electronic Library (IEL) 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) May-Jun 2014 識別號： ISSN: 1541-1672 識別號： EISSN: 1941-1294 識別號： DOI: 10.1109/MIS.2014.35 識別號： CODEN: IISYF7
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	20	View/Open

社群 sharing

Loading...