Evidence map›Paper›PMID 34577200›Full record

ArticleSensors (Basel, Switzerland)2021

A Comparative Evaluation of Inertial Sensors for Gait and Jump Analysis.

Isaia Andrenacci, Riccardo Boccaccini, Alice Bolzoni, Giulio Colavolpe, Cosimo Costantino, Michelangelo Federico, Alessandro Ugolini, Armando Vannucci

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Isaia AndrenacciDepartment of Engineering and Architecture (DEA), University of Parma, 43124 Parma, Italy.
Riccardo BoccacciniDepartment of Engineering and Architecture (DEA), University of Parma, 43124 Parma, Italy.ORCID 0000-0002-3571-3671
Alice BolzoniDepartment of Engineering and Architecture (DEA), University of Parma, 43124 Parma, Italy.
Giulio ColavolpeDepartment of Engineering and Architecture (DEA), University of Parma, 43124 Parma, Italy.ORCID 0000-0002-0577-8626
Cosimo CostantinoDepartment of Medicine and Surgery, University of Parma, 43126 Parma, Italy.ORCID 0000-0003-0563-5235
Michelangelo FedericoDepartment of Engineering and Architecture (DEA), University of Parma, 43124 Parma, Italy.
Alessandro UgoliniDepartment of Engineering and Architecture (DEA), University of Parma, 43124 Parma, Italy.ORCID 0000-0001-7021-9145
Armando VannucciDepartment of Engineering and Architecture (DEA), University of Parma, 43124 Parma, Italy.ORCID 0000-0002-5939-4134
University of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gait and jump anomalies are often used as indicators to identify the presence and state of disorders that involve motor symptoms. Physical tests are often performed in specialized laboratories, which offer reliable and accurate results, but require long and costly analyses performed by specialized personnel. The use of inertial sensors for gait and jump evaluation offers an easy-to-use low-cost alternative, potentially applicable by the patients themselves at home. In this paper, we compared three inertial measurement units that are available on the market by means of well-known standardized tests for the evaluation of gait and jump behavior. The aim of the study was to highlight the strengths and weaknesses of each of the tested sensors, considered in different tests, by comparing data collected on two healthy subjects. Data were processed to identify the phases of the movement and the possible inaccuracies of each sensor. The analysis showed that some of the considered inertial units could be reliably used to identify the gait and jump phases and could be employed to detect anomalies, potentially suggesting the presence of disorders.

Indexed as

GaitMovementHumansgait analysisinertial measurement unitwearable sensors

Identifiers

PMID34577200
PMCPMC8473286
OpenAlexW3198202888

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.