利用定量数字图像对帕金森病进行全面实时远程监控

IF 6.7 1区 医学 Q1 NEUROSCIENCES NPJ Parkinson's Disease Pub Date : 2024-07-27 DOI:10.1038/s41531-024-00751-w
Shannon L. Hoffman, Paul Schmiedmayer, Aryaman S. Gala, Kevin B. Wilkins, Laura Parisi, Shreesh Karjagi, Aarushi S. Negi, Simon Revlock, Christopher Coriz, Jeremy Revlock, Vishnu Ravi, Helen Bronte-Stewart
{"title":"利用定量数字图像对帕金森病进行全面实时远程监控","authors":"Shannon L. Hoffman, Paul Schmiedmayer, Aryaman S. Gala, Kevin B. Wilkins, Laura Parisi, Shreesh Karjagi, Aarushi S. Negi, Simon Revlock, Christopher Coriz, Jeremy Revlock, Vishnu Ravi, Helen Bronte-Stewart","doi":"10.1038/s41531-024-00751-w","DOIUrl":null,"url":null,"abstract":"<p>People with Parkinson’s disease (PWP) face critical challenges, including lack of access to neurological care, inadequate measurement and communication of motor symptoms, and suboptimal medication management and compliance. We have developed QDG-Care: a comprehensive connected care platform for Parkinson’s disease (PD) that delivers validated, quantitative metrics of all motor signs in PD in real time, monitors the effects of adjusting therapy and medication adherence and is accessible in the electronic health record. In this article, we describe the design and engineering of all components of QDG-Care, including the development and utility of the QDG Mobility and Tremor Severity Scores. We present the preliminary results and insights from an at-home trial using QDG-Care. QDG technology has enormous potential to improve access to, equity of, and quality of care for PWP, and improve compliance with complex time-critical medication regimens. It will enable rapid “Go-NoGo” decisions for new therapeutics by providing high-resolution data that require fewer participants at lower cost and allow more diverse recruitment.</p>","PeriodicalId":19706,"journal":{"name":"NPJ Parkinson's Disease","volume":"14 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comprehensive real time remote monitoring for Parkinson’s disease using Quantitative DigitoGraphy\",\"authors\":\"Shannon L. Hoffman, Paul Schmiedmayer, Aryaman S. Gala, Kevin B. Wilkins, Laura Parisi, Shreesh Karjagi, Aarushi S. Negi, Simon Revlock, Christopher Coriz, Jeremy Revlock, Vishnu Ravi, Helen Bronte-Stewart\",\"doi\":\"10.1038/s41531-024-00751-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>People with Parkinson’s disease (PWP) face critical challenges, including lack of access to neurological care, inadequate measurement and communication of motor symptoms, and suboptimal medication management and compliance. We have developed QDG-Care: a comprehensive connected care platform for Parkinson’s disease (PD) that delivers validated, quantitative metrics of all motor signs in PD in real time, monitors the effects of adjusting therapy and medication adherence and is accessible in the electronic health record. In this article, we describe the design and engineering of all components of QDG-Care, including the development and utility of the QDG Mobility and Tremor Severity Scores. We present the preliminary results and insights from an at-home trial using QDG-Care. QDG technology has enormous potential to improve access to, equity of, and quality of care for PWP, and improve compliance with complex time-critical medication regimens. It will enable rapid “Go-NoGo” decisions for new therapeutics by providing high-resolution data that require fewer participants at lower cost and allow more diverse recruitment.</p>\",\"PeriodicalId\":19706,\"journal\":{\"name\":\"NPJ Parkinson's Disease\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NPJ Parkinson's Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41531-024-00751-w\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Parkinson's Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41531-024-00751-w","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

帕金森病(PWP)患者面临着严峻的挑战,包括无法获得神经系统护理、运动症状测量和交流不足,以及用药管理和依从性不理想。我们开发了 QDG-Care:一个针对帕金森病(PD)的综合互联护理平台,可实时提供帕金森病所有运动症状的有效量化指标,监测调整疗法的效果和用药依从性,并可在电子健康记录中访问。在这篇文章中,我们介绍了 QDG-Care 所有组件的设计和工程,包括 QDG 运动能力和震颤严重程度评分的开发和应用。我们介绍了使用 QDG-Care 进行家庭试验的初步结果和见解。QDG 技术在改善残疾人获得护理的机会、护理的公平性和护理的质量,以及改善复杂的时间紧迫的药物治疗的依从性方面具有巨大的潜力。它将通过提供高分辨率数据,以较低的成本减少参与者人数,并允许更多样化的招募,从而为新疗法做出快速的 "Go-No-Go "决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Comprehensive real time remote monitoring for Parkinson’s disease using Quantitative DigitoGraphy

People with Parkinson’s disease (PWP) face critical challenges, including lack of access to neurological care, inadequate measurement and communication of motor symptoms, and suboptimal medication management and compliance. We have developed QDG-Care: a comprehensive connected care platform for Parkinson’s disease (PD) that delivers validated, quantitative metrics of all motor signs in PD in real time, monitors the effects of adjusting therapy and medication adherence and is accessible in the electronic health record. In this article, we describe the design and engineering of all components of QDG-Care, including the development and utility of the QDG Mobility and Tremor Severity Scores. We present the preliminary results and insights from an at-home trial using QDG-Care. QDG technology has enormous potential to improve access to, equity of, and quality of care for PWP, and improve compliance with complex time-critical medication regimens. It will enable rapid “Go-NoGo” decisions for new therapeutics by providing high-resolution data that require fewer participants at lower cost and allow more diverse recruitment.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
NPJ Parkinson's Disease
NPJ Parkinson's Disease Medicine-Neurology (clinical)
CiteScore
9.80
自引率
5.70%
发文量
156
审稿时长
11 weeks
期刊介绍: npj Parkinson's Disease is a comprehensive open access journal that covers a wide range of research areas related to Parkinson's disease. It publishes original studies in basic science, translational research, and clinical investigations. The journal is dedicated to advancing our understanding of Parkinson's disease by exploring various aspects such as anatomy, etiology, genetics, cellular and molecular physiology, neurophysiology, epidemiology, and therapeutic development. By providing free and immediate access to the scientific and Parkinson's disease community, npj Parkinson's Disease promotes collaboration and knowledge sharing among researchers and healthcare professionals.
期刊最新文献
Awake versus asleep deep brain stimulation targeting the caudal zona incerta for essential tremor Accelerating Parkinson’s Disease drug development with federated learning approaches Push-pull effects of basal ganglia network in Parkinson’s disease inferred by functional MRI A worldwide study of subcortical shape as a marker for clinical staging in Parkinson's disease. Relative sparing of dopaminergic terminals in the caudate nucleus is a feature of rest tremor in Parkinson’s disease
×
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