Remote Monitoring for the Management of Spasticity: Challenges, Opportunities and Proposed Technological Solution

IF 2.9 Q3 ENGINEERING, BIOMEDICAL IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2024-12-30 DOI:10.1109/OJEMB.2024.3523442
Kavit R. Amin;Samuel R. Smith;Amit N. Pujari;Syed Ali Raza Zaidi;Robert Horne;Atif Shahzad;Christopher Walshaw;Christy Holland;Stephen Halpin;Rory J. O'Connor
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Abstract

Spasticity is disabling feature of long-term neurological conditions that has substantial impact on people’ quality of life. Assessing spasticity and determining the efficacy of current treatments is limited by the measurement tools available in clinical practice. We convened an expert panel of clinicians and engineers to identify a solution to this urgent clinical need. We established that a reliable ambulatory spasticity monitoring system that collates clinically meaningful data remotely would be useful in the management of this complex condition. This paper provides an overview of current practices in managing and monitoring spasticity. Then, the paper describes how a remote monitoring system can help in managing spasticity and identifies challenges in development of such a system. Finally the paper proposes a monitoring system solution that exploits recent advancements in low-energy wearable systems comprising of printable electronics, a personal area network (PAN) to low power wide area networks (LPWAN) alongside back-end cloud infrastructure. The proposed technology will make an important contribution to patient care by allowing, for the first time, longitudinal monitoring of spasticity between clinical follow-up, and thus has life altering and cost-saving implications. This work in spasticity monitoring and management serves as an exemplar for other areas of rehabilitation.
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痉挛管理的远程监测:挑战、机遇和提出的技术解决方案
痉挛是长期神经系统疾病的致残特征,对人们的生活质量有重大影响。评估痉挛和确定当前治疗的有效性受到临床实践中可用的测量工具的限制。我们召集了一个由临床医生和工程师组成的专家小组,以确定解决这一迫切临床需求的办法。我们建立了一个可靠的动态痉挛监测系统,远程整理临床有意义的数据,将有助于管理这种复杂的情况。本文概述了目前管理和监测痉挛的实践。然后,本文描述了远程监测系统如何帮助管理痉挛,并确定了开发这种系统的挑战。最后,本文提出了一种监控系统解决方案,该解决方案利用了低能耗可穿戴系统的最新进展,该系统包括可打印电子设备、个人局域网(PAN)、低功耗广域网(LPWAN)以及后端云基础设施。这项提议的技术将首次允许在临床随访期间对痉挛进行纵向监测,从而对患者护理做出重要贡献,从而具有改变生活和节省成本的意义。这项在痉挛监测和管理方面的工作为其他康复领域提供了范例。
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来源期刊
CiteScore
9.50
自引率
3.40%
发文量
20
审稿时长
10 weeks
期刊介绍: The IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB) is dedicated to serving the community of innovators in medicine, technology, and the sciences, with the core goal of advancing the highest-quality interdisciplinary research between these disciplines. The journal firmly believes that the future of medicine depends on close collaboration between biology and technology, and that fostering interaction between these fields is an important way to advance key discoveries that can improve clinical care.IEEE OJEMB is a gold open access journal in which the authors retain the copyright to their papers and readers have free access to the full text and PDFs on the IEEE Xplore® Digital Library. However, authors are required to pay an article processing fee at the time their paper is accepted for publication, using to cover the cost of publication.
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