Evidence map›Paper›PMID 39906269›Full record

ArticleIEEE open journal of engineering in medicine and biology2025

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

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

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kavit R AminUniversity of Manchester M13 9PL Manchester U.K.ORCID https://orcid.org/0000-0001-6545-7894
Samuel R SmithManchester University NHS Foundation Trust M13 9WL Manchester U.K.ORCID https://orcid.org/0009-0005-4244-4704
Amit N PujariNeu(RAL)2: NeuRAL Systems & Rehabilitation and Assistive Technologies Laboratory, School of PhysicsEngineering and Computer ScienceUniversity of Hertfordshire AL10 9EU Hatfield U.K.ORCID https://orcid.org/0000-0003-1688-4448
Syed Ali Raza ZaidiUniversity of Leeds LS2 9JT Leeds U.K.ORCID https://orcid.org/0000-0003-1969-3727
Robert HorneUniversity of Kent CT2 7NZ Canterbury U.K.ORCID https://orcid.org/0000-0003-3476-5987
Atif ShahzadUniversity of Birmingham B15 2TT Birmingham U.K.ORCID https://orcid.org/0000-0002-4741-4302
Christopher WalshawLeeds Teaching Hospitals NHS Trust LS9 7TF Leeds U.K.ORCID https://orcid.org/0000-0001-9874-3598
Christy HollandLeeds Teaching Hospitals NHS Trust LS9 7TF Leeds U.K.ORCID https://orcid.org/0000-0001-5897-4260
Stephen HalpinLeeds Teaching Hospitals NHS Trust LS9 7TF Leeds U.K.
Rory J O'ConnorAcademic Department of Rehabilitation MedicineUniversity of Leeds LS2 9JT Leeds U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Electromyographyrehabilitationspasticity managementspasticity monitoringwearable device

Identifiers

PMID39906269
PMCPMC11793859

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.