Evidence map›Paper›PMID 35336429›Full record

ArticleSensors (Basel, Switzerland)2022

Kinect v2-Assisted Semi-Automated Method to Assess Upper Limb Motor Performance in Children.

Celia Francisco-Martínez, José A Padilla-Medina, Juan Prado-Olivarez, Francisco J Pérez-Pinal, Alejandro I Barranco-Gutiérrez, Juan J Martínez-Nolasco

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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

6 authors.

Celia Francisco-MartínezElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, Mexico.ORCID 0000-0002-1961-8332
José A Padilla-MedinaElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, Mexico.ORCID 0000-0002-1642-7274
Juan Prado-OlivarezElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, Mexico.ORCID 0000-0001-8390-3552
Francisco J Pérez-PinalElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, Mexico.ORCID 0000-0002-6116-6464
Alejandro I Barranco-GutiérrezElectronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, Mexico.ORCID 0000-0002-5050-6208
Juan J Martínez-NolascoMechatronics Engineering Department, National Technology of Mexico in Celaya, Celaya 38010, Mexico.ORCID 0000-0003-4080-1286

Funding

Consejo Nacional de Ciencia y Tecnología (Conacyt) N: 005620
6 · The paper itself

Abstract

The interruption of rehabilitation activities caused by the COVID-19 lockdown has significant health negative consequences for the population with physical disabilities. Thus, measuring the range of motion (ROM) using remotely taken photographs, which are then sent to specialists for formal assessment, has been recommended. Currently, low-cost Kinect motion capture sensors with a natural user interface are the most feasible implementations for upper limb motion analysis. An active range of motion (AROM) measuring system based on a Kinect v2 sensor for upper limb motion analysis using Fugl-Meyer Assessment (FMA) scoring is described in this paper. Two test groups of children, each having eighteen participants, were analyzed in the experimental stage, where upper limbs’ AROM and motor performance were assessed using FMA. Participants in the control group (mean age of 7.83 ± 2.54 years) had no cognitive impairment or upper limb musculoskeletal problems. The study test group comprised children aged 8.28 ± 2.32 years with spastic hemiparesis. A total of 30 samples of elbow flexion and 30 samples of shoulder abduction of both limbs for each participant were analyzed using the Kinect v2 sensor at 30 Hz. In both upper limbs, no significant differences (p < 0.05) in the measured angles and FMA assessments were observed between those obtained using the described Kinect v2-based system and those obtained directly using a universal goniometer. The measurement error achieved by the proposed system was less than ±1° compared to the specialist’s measurements. According to the obtained results, the developed measuring system is a good alternative and an effective tool for FMA assessment of AROM and motor performance of upper limbs, while avoiding direct contact in both healthy children and children with spastic hemiparesis.

Indexed as

COVID-19ChildChild, PreschoolCommunicable Disease ControlHemiplegiaHumansRange of Motion, ArticularUpper ExtremityCOVID-19Fugl-MeyerKinect v2measurementupper limb

Identifiers

PMID35336429
PMCPMC8948852
OpenAlexW4221022395

What OpenQuestion holds

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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.