Evidence map›Paper›PMID 37112261›Full record

ArticleSensors (Basel, Switzerland)2023

Base of Support, Step Length and Stride Width Estimation during Walking Using an Inertial and Infrared Wearable System.

Rachele Rossanigo, Marco Caruso, Stefano Bertuletti, Franca Deriu, Marco Knaflitz, Ugo Della Croce, Andrea Cereatti

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
–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

4 citing papers in PubMed.

  1. Article
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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.

Rachele RossanigoDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0009-0003-0805-5364
Marco CarusoPolitoBIOMed Lab-Biomedical Engineering Lab, Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0002-1529-8095
Stefano BertulettiDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-6422-1676
Franca DeriuDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-8235-6091
Marco KnaflitzPolitoBIOMed Lab-Biomedical Engineering Lab, Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0001-5396-5103
Ugo Della CroceDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-5151-7403
Andrea CereattiDepartment of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0002-7276-5382

Funding

MUR ECS00000036Sardegna Ricerche (Italy) F21B17000800005
6 · The paper itself

Abstract

The analysis of the stability of human gait may be effectively performed when estimates of the base of support are available. The base of support area is defined by the relative position of the feet when they are in contact with the ground and it is closely related to additional parameters such as step length and stride width. These parameters may be determined in the laboratory using either a stereophotogrammetric system or an instrumented mat. Unfortunately, their estimation in the real world is still an unaccomplished goal. This study aims at proposing a novel, compact wearable system, including a magneto-inertial measurement unit and two time-of-flight proximity sensors, suitable for the estimation of the base of support parameters. The wearable system was tested and validated on thirteen healthy adults walking at three self-selected speeds (slow, comfortable, and fast). Results were compared with the concurrent stereophotogrammetric data, used as the gold standard. The root mean square errors for the step length, stride width and base of support area varied from slow to high speed between 10-46 mm, 14-18 mm, and 39-52 cm

Indexed as

WalkingWearable Electronic DevicesAdultFootGaitHumansPhotogrammetrybase of supportdynamic stabilitygait analysisinertial sensorsinfrared time-of-flight distance sensorswearable system

Identifiers

PMID37112261
PMCPMC10144762

What OpenQuestion holds

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Registered trials

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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.