Amin, Kavit R., Smith, Samuel R., Pujari, Amit N., Zaidi, Syed Ali Raza, Horne, Robert, Shahzad, Atif, Walshaw, Christopher, Holland, Christy, Halpin, Stephen, O'Connor, Rory J and others. (2024) Remote monitoring for the management of spasticity: challenges, opportunities and proposed technological solution. IEEE open journal of engineering in medicine and biology, 6 . pp. 279-286. E-ISSN 2644-1276. (doi:10.1109/OJEMB.2024.3523442) (KAR id:108773)
PDF
Publisher pdf
Language: English
This work is licensed under a Creative Commons Attribution 4.0 International License.
|
|
Download this file (PDF/613kB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.1109/OJEMB.2024.3523442 |
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.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1109/OJEMB.2024.3523442 |
Additional information: | 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. |
Uncontrolled keywords: | wearable device; spasticity management; rehabilitation; spasticity monitoring; Electromyography |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Funders: |
Royal Academy of Engineering (https://ror.org/0526snb40)
Leverhulme Trust (https://ror.org/012mzw131) Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 06 Mar 2025 11:49 UTC |
Last Modified: | 07 Mar 2025 09:32 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/108773 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):