Balance Rehabilitation System for Parkinson's Disease Patients based on Augmented Reality

Yi-Wen Wang, Chien-Hsu Chen, Yang-Cheng Lin
{"title":"Balance Rehabilitation System for Parkinson's Disease Patients based on Augmented Reality","authors":"Yi-Wen Wang, Chien-Hsu Chen, Yang-Cheng Lin","doi":"10.1109/ECICE50847.2020.9302018","DOIUrl":null,"url":null,"abstract":"Parkinson’s disease (PD) has an average onset age of 55 years old. Its incidence increases with age. Due to an aging demographic, PD poses an increasing burden on patients and health care resources. PD causes tremors, rigidity, abnormal gait, postural instability, and freezing of gait. These symptoms diminish patients’ quality of life. Continuous rehabilitation of PD patients is more effective in the long term than either pharmacotherapy or surgical treatment. Nevertheless, a patient's motivation for rehabilitation suffers from the difficulties associated with the need for frequent visits to a rehabilitation center. The purpose of this study is to develop a serious game based on augmented reality for the rehabilitation of patients with PD. The game was designed to allow patients with PD to ambulate while following virtual visual cues in a real environment as well as incorporated levels with increasing difficulty. We assess improvements in gait and a sense of balance after 3 weeks of training. The results show that all patients have had improvements in these two outcomes. The results of this study provide references for future study and develop more or methods of playing rehabilitation games.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE50847.2020.9302018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Parkinson’s disease (PD) has an average onset age of 55 years old. Its incidence increases with age. Due to an aging demographic, PD poses an increasing burden on patients and health care resources. PD causes tremors, rigidity, abnormal gait, postural instability, and freezing of gait. These symptoms diminish patients’ quality of life. Continuous rehabilitation of PD patients is more effective in the long term than either pharmacotherapy or surgical treatment. Nevertheless, a patient's motivation for rehabilitation suffers from the difficulties associated with the need for frequent visits to a rehabilitation center. The purpose of this study is to develop a serious game based on augmented reality for the rehabilitation of patients with PD. The game was designed to allow patients with PD to ambulate while following virtual visual cues in a real environment as well as incorporated levels with increasing difficulty. We assess improvements in gait and a sense of balance after 3 weeks of training. The results show that all patients have had improvements in these two outcomes. The results of this study provide references for future study and develop more or methods of playing rehabilitation games.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于增强现实的帕金森病患者平衡康复系统
帕金森病(PD)的平均发病年龄为55岁。其发病率随着年龄的增长而增加。由于人口老龄化,帕金森病给患者和医疗资源带来越来越大的负担。PD引起震颤、僵硬、步态异常、姿势不稳定和步态冻结。这些症状降低了患者的生活质量。长期来看,PD患者的持续康复治疗比药物治疗或手术治疗更有效。然而,患者的康复动机会因为需要频繁访问康复中心而受到影响。本研究的目的是开发一个基于增强现实的严肃游戏,用于PD患者的康复。这款游戏的设计目的是让PD患者在真实环境中跟随虚拟视觉线索行走,并增加难度。我们评估3周训练后步态和平衡感的改善。结果显示,所有患者在这两方面都有所改善。本研究结果为今后的研究和开发更多的康复游戏方法提供了参考。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
3D Cameras and Algorithms for Multi-Angle Gripping and Control of Robotic Arm Real-Time Interaction System of Human-Robot with Hand Gestures A Smart Simulation System for Manufacturing Common Management Technology of Automation Equipment in Industry 4.0 Factors Affecting Location of Nasal Airway Obstruction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1