Evidence map›Paper›PMID 35890831›Full record

ArticleSensors (Basel, Switzerland)2022

Inertia Sensors for Measuring Spasticity of the Ankle Plantarflexors Using the Modified Tardieu Scale-A Proof of Concept Study.

Megan Banky, Gavin Williams, Rebecca Davey, Oren Tirosh

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 3 institutions in 1 country.

Megan BankySchool of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne 3010, Australia.
Gavin WilliamsSchool of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne 3010, Australia.
Rebecca DaveyPhysiotherapy Department, Epworth Healthcare, Richmond 3121, Australia.
Oren TiroshSchool of Health Sciences, Swinburne University of Technology, Hawthorn 3122, Australia.ORCID 0000-0002-2281-6399
The University of Melbourne · AUEpworth Hospital · AUSwinburne University of Technology · AU

Funding

Epworth Medical Foundation na
6 · The paper itself

Abstract

Ankle spasticity is clinically assessed using goniometry to measure the angle of muscle reaction during the Modified Tardieu Scale (MTS). The precision of the goniometric method is questionable as the measured angle may not represent when the spastic muscle reaction occurred. This work proposes a method to accurately determine the angle of muscle reaction during the MTS assessment by measuring the maximum angular velocity and the corresponding ankle joint angle, using two affordable inertial sensors. Initially we identified the association between muscle onset and peak joint angular velocity using surface electromyography and an inertial sensor. The maximum foot angular velocity occurred 0.049 and 0.032 s following the spastic muscle reaction for Gastrocnemius and Soleus, respectively. Next, we explored the use of two affordable inertial sensors to identify the angle of muscle reaction using the peak ankle angular velocity. The angle of muscle reaction and the maximum dorsiflexion angle were significantly different for both Gastrocnemius and Soleus MTS tests (

Indexed as

Ankle JointMuscle SpasticityAnkleHumansLower ExtremityMuscle, SkeletalProof of Concept Studyinertial measurement unitModified Tardieu Scalespasticity assessmentwearable sensor technologies

Identifiers

PMID35890831
PMCPMC9318184
OpenAlexW4285012032

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.