Evidence map›Paper›PMID 39398532›Full record

ArticleHardwareX2024

Design of a low-cost force insoles to estimate ground reaction forces during human gait.

Nelson E Guevara, Carlos F Rengifo, Yamir H Bolaños, Daniel A Fernández, Wilson A Sierra, Luis E Rodríguez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in HardwareX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nelson E GuevaraResearch Group of Automation, Universidad del Cauca, Colombia.
Carlos F RengifoResearch Group of Automation, Universidad del Cauca, Colombia.
Yamir H BolañosFaculty of Engineering and Natural Science, Corporación Universitaria Autónoma del Cauca, Colombia.
Daniel A FernándezResearch Group of Automation, Universidad del Cauca, Colombia.
Wilson A SierraFaculty of Biomedical Engineering, Escuela Colombiana de Ingeniería Julio Garavito, Colombia.
Luis E RodríguezFaculty of Biomedical Engineering, Escuela Colombiana de Ingeniería Julio Garavito, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a low-cost electronic system for estimating ground reaction forces (GRF) during human gait. The device consists of one master node and two slave nodes. The master node sends instructions to slave nodes that sample and store data from two force insoles located at the participant's feet. These insoles are equipped with 14 piezo-resistive FlexiForce A301 sensors (FSR). The slave nodes are attached to the ankles and feet of each participant. Subsequently, the start command is transmitted through the master node, which is connected to the USB port of a personal computer (PC). Once the walking session is completed, the information obtained by the slave nodes can be downloaded by accessing the access point generated by these devices through Wi-Fi communication. The GRF estimation system was validated with force platforms (

Indexed as

3D printingESP32 microcontrollersForce insolesGround reaction forcesLow-costPiezo-resistive sensors

Identifiers

PMID39398532
PMCPMC11471240

What OpenQuestion holds

Textmetadata
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.