Commercially Available Sensor-based Monitoring and Support Systems in Parkinson's Disease: An Overview

D. Piromalis, Christos Kokkotis, Themistoklis Tsatalas, George Bellis, D. Tsaopoulos, P. Zikos, Nikos Tsotsolas, S. Pizanias, Marios Kounelis, Angelos Hliaoutakis, Eleni Koutsouraki, D. Kolovos, G. Giakas, E. Symeonaki, M. Papoutsidakis
{"title":"Commercially Available Sensor-based Monitoring and Support Systems in Parkinson's Disease: An Overview","authors":"D. Piromalis, Christos Kokkotis, Themistoklis Tsatalas, George Bellis, D. Tsaopoulos, P. Zikos, Nikos Tsotsolas, S. Pizanias, Marios Kounelis, Angelos Hliaoutakis, Eleni Koutsouraki, D. Kolovos, G. Giakas, E. Symeonaki, M. Papoutsidakis","doi":"10.1109/INDIACom51348.2021.00077","DOIUrl":null,"url":null,"abstract":"Parkinson's disease is a progressive neurodegenerative disorder correlating with dysfunction or deprivation of brains dopaminergic neurons, lack of dopamine, and the formation of abnormal protein particles. There are several clinical tests for detection of Parkinson's disease, but nowadays a demand is rising for an objective assessment of symptoms and health-related outcomes. The rapid development of sensor-based technological devices permits conducting measurements without bias that they are able to be used in scientific research and clinical practice. This paper provides a technical overview of the available commercial wearable systems for monitoring and supporting Parkinson's disease management, taking into account their validity and reliability. The understanding of the current state-of-the-art could help patients and clinicians significantly improve Parkinson's disease management by minimizing health care costs and increasing patient's quality of life.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIACom51348.2021.00077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Parkinson's disease is a progressive neurodegenerative disorder correlating with dysfunction or deprivation of brains dopaminergic neurons, lack of dopamine, and the formation of abnormal protein particles. There are several clinical tests for detection of Parkinson's disease, but nowadays a demand is rising for an objective assessment of symptoms and health-related outcomes. The rapid development of sensor-based technological devices permits conducting measurements without bias that they are able to be used in scientific research and clinical practice. This paper provides a technical overview of the available commercial wearable systems for monitoring and supporting Parkinson's disease management, taking into account their validity and reliability. The understanding of the current state-of-the-art could help patients and clinicians significantly improve Parkinson's disease management by minimizing health care costs and increasing patient's quality of life.
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
商用传感器监测和支持系统在帕金森病:概述
帕金森病是一种进行性神经退行性疾病,与大脑多巴胺能神经元功能障碍或剥夺、多巴胺缺乏和异常蛋白颗粒的形成有关。有几种检测帕金森病的临床试验,但现在对症状和健康相关结果的客观评估的需求正在上升。基于传感器的技术设备的快速发展允许进行无偏见的测量,它们能够用于科学研究和临床实践。考虑到其有效性和可靠性,本文提供了用于监测和支持帕金森病管理的可用商业可穿戴系统的技术概述。了解当前最先进的技术可以帮助患者和临床医生通过最小化医疗成本和提高患者的生活质量来显著改善帕金森病的管理。
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
Stochastic Scheduling of Parking Lot Operator in Energy and Regulation Markets amalgamating PBDR Social Synchrony: An Analytical Contemplation of Contemporary State of Art Frameworks The AI enabled Chatbot Framework for Intelligent Citizen-Government Interaction for Delivery of Services Biometric System - Challenges and Future Trends Solving SIS Epidemic Disease Model by Flower Pollination Algorithm
×
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