Evidence map›Paper›PMID 39338781›Full record

ArticleSensors (Basel, Switzerland)2024

Smartphone Assessment of the Sitting Heel-Rise Test.

Gustavo O Hoffmann, Edilson Borba, Eduardo H Casarotto, Gisele Francine Devetak, Ramzi Jaber, John G Buckley, André L F Rodacki

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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
–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

2 citing papers in PubMed.

  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

7 authors.

Gustavo O HoffmannCentro de Estudos do Comportamento Motor, Departamento de Educação Física, Setor de Ciências Biológicas, Universidade Federal do Paraná, Rua Coronel Heráclito dos Santos, 100, Centro Politécnico, Jardim das Américas, Curitiba 19011, Paraná, Brazil.ORCID 0009-0002-4502-6311
Edilson BorbaCentro de Estudos do Comportamento Motor, Departamento de Educação Física, Setor de Ciências Biológicas, Universidade Federal do Paraná, Rua Coronel Heráclito dos Santos, 100, Centro Politécnico, Jardim das Américas, Curitiba 19011, Paraná, Brazil.ORCID 0000-0002-9399-1098
Eduardo H CasarottoCentro de Estudos do Comportamento Motor, Departamento de Educação Física, Setor de Ciências Biológicas, Universidade Federal do Paraná, Rua Coronel Heráclito dos Santos, 100, Centro Politécnico, Jardim das Américas, Curitiba 19011, Paraná, Brazil.
Gisele Francine DevetakCentro de Estudos do Comportamento Motor, Departamento de Educação Física, Setor de Ciências Biológicas, Universidade Federal do Paraná, Rua Coronel Heráclito dos Santos, 100, Centro Politécnico, Jardim das Américas, Curitiba 19011, Paraná, Brazil.
Ramzi JaberFaculty of Engineering & Informatics, University of Bradford, Bradford BD7 1DP, UK.
John G BuckleyFaculty of Engineering & Informatics, University of Bradford, Bradford BD7 1DP, UK.ORCID 0000-0002-4085-4743
André L F RodackiCentro de Estudos do Comportamento Motor, Departamento de Educação Física, Setor de Ciências Biológicas, Universidade Federal do Paraná, Rua Coronel Heráclito dos Santos, 100, Centro Politécnico, Jardim das Américas, Curitiba 19011, Paraná, Brazil.ORCID 0000-0002-4585-497X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study presents a new approach for assessing plantarflexor muscles' function using a smartphone. The test involves performing repeated heel raises for 60 s while seated. The seated heel-rise test offers a simple method for assessing plantarflexor muscles' function in those with severe balance impairment who are unable to complete tests performed while standing. The study aimed to showcase how gyroscopic data from a smartphone placed on the lower limb can be used to assess the test. Eight participants performed the seated heel-rise test with each limb. Gyroscope and 2D video analysis data (60 Hz) of limb motion were used to determine the number of cycles, the average rise (T-rise), lowering (T-lower), and cycle (T-total) times. The number of cycles detected matched exactly when the gyroscope and kinematic data were compared. There was good time domain agreement between gyroscopic and video data (T-rise = 0.0005 s, T-lower = 0.0013 s, and T-total = 0.0017 s). The 95% CI limits of agreement were small (T-total -0.1118, 0.1127 s, T-lower -0.1152, 0.1179 s, and T-total -0.0763, 0.0797 s). Results indicate that a smartphone placed on the thigh can successfully assess the seated heel-rise test. The seated heel-rise test offers an attractive alternative to test plantarflexor muscles' functionality in those unable to perform tests in standing positions.

Indexed as

HeelSmartphoneAdultBiomechanical PhenomenaFemaleHumansMaleMuscle, SkeletalSitting PositionYoung Adultgyroscopeheel-rise testplantarflexorssmartphones

Identifiers

PMID39338781
PMCPMC11436003

What OpenQuestion holds

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LicenceCC BY
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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.