Evidence map›Paper›PMID 32782764›Full record

ArticleEuropean journal of translational myology2020

Validation of a portable system for spatial-temporal gait parameters based on a single inertial measurement unit and a mobile application.

Pablo Aqueveque, Britam Gómez, Francisco Saavedra, Cristian Canales, Simón Contreras, Paulina Ortega-Bastidas, Roberto Cano-de-la-Cuerda

Open access · greenAbstract read
In one paragraph

Article in European journal of translational myology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 at 2 institutions in 2 countries.

Pablo AquevequeElectrical Engineering Department, Faculty of Enginering, Universidad de Concepción, Concepcion, Biobio, Chile.
Britam GómezElectrical Engineering Department, Faculty of Enginering, Universidad de Concepción, Concepcion, Biobio, Chile.
Francisco SaavedraElectrical Engineering Department, Faculty of Enginering, Universidad de Concepción, Concepcion, Biobio, Chile.
Cristian CanalesMechanical Engineering Department, Faculty of Engineering, Universidad de Concepción, Concepcion, Biobio, Chile.
Simón ContrerasMechanical Engineering Department, Faculty of Engineering, Universidad de Concepción, Concepcion, Biobio, Chile.
Paulina Ortega-BastidasKinesiology Department, Faculty of Medicine, Universidad de Concepción, Concepción, Biobio, Chile.
Roberto Cano-de-la-CuerdaPhysiotherapy, Occupational Therapy, Universidad Rey Juan Carlos, Alcorcón, Madrid, Spain.
University of Concepción · CLUniversidad Rey Juan Carlos · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a lack of commercially available low-cost technologies to assess gait clinically in non-controlled environments. As a consequence of this, there has been poor massification of motion measurement technologies that are both objective and reliable in nature. Advances about the study of gait and its interpretation in recent years using inertial sensors have allowed proposing acceptable alternatives for the development of portable and low-cost systems that contribute to people's health in places and institutions that cannot acquire or maintain the operation of commercially available systems. A system based on a custom single Inertial Measurement Unit and a mobile application is proposed. Thus, an investigation is carried out using methodologies and algorithms found in the literature in order to get the main gait events and the spatial-temporal gait parameters. Twenty healthy Chilean subjects were assessed using a motion capture system simultaneously with the proposed tool. The results show that it is possible to estimate temporal gait parameters with slight differences respect gold--standard. We reach maximum mean differences of -2.35±5.02[step/min] for cadence, 0.03±0.04[sec] for stride time,0.02±0.03[sec] for step time, ±0.02[sec] for a single support time, 0.01±0.02[sec] for double support time and 0.01±0.03[m] for step length. As a result of experimental findings, we propose a new technological tool that can perform gait analysis. Our proposed system is user-friendly, low-cost, and portable. Therefore, we suggest that it could be an attractive technological tool that healthcare professionals could harness to objectively measure gait in environments that are either within the community or controlled. We also suggest that the tool could be used in countries where advanced clinical tools cannot be acquired. Therefore, we propose in this paper that our system is an attractive, alternative system that can be used for gait analysis by health professionals worldwide.

Indexed as

Gait analysisInertial sensorsSpatial-temporal gait parameters

Identifiers

PMID32782764
PMCPMC7385685
OpenAlexW3036113349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.