Evidence map›Paper›PMID 35746340›Full record

ArticleSensors (Basel, Switzerland)2022

Integration of Inertial Sensors in a Lower Limb Robotic Exoskeleton.

John Calle-Siguencia, Mauro Callejas-Cuervo, Sebastián García-Reino

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

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

3 authors at 2 institutions in 2 countries.

John Calle-SiguenciaGIIB Research Department, Universidad Politécnica Salesiana, Cuenca 010102, Ecuador.ORCID 0000-0002-2148-3297
Mauro Callejas-CuervoSoftware Research Group, Engineering Department, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia.ORCID 0000-0001-9894-8737
Sebastián García-ReinoGIIB Research Department, Universidad Politécnica Salesiana, Cuenca 010102, Ecuador.ORCID 0000-0002-8065-2652
Politecnica Salesiana University · ECPedagogical and Technological University of Colombia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motion assistance exoskeletons are designed to support the joint movement of people who perform repetitive tasks that cause damage to their health. To guarantee motion accompaniment, the integration between sensors and actuators should ensure a near-zero delay between the signal acquisition and the actuator response. This study presents the integration of a platform based on Imocap-GIS inertial sensors, with a motion assistance exoskeleton that generates joint movement by means of Maxon motors and Harmonic drive reducers, where a near zero-lag is required for the gait accompaniment to be correct. The Imocap-GIS sensors acquire positional data from the user's lower limbs and send the information through the UDP protocol to the CompactRio system, which constitutes a high-performance controller. These data are processed by the card and subsequently a control signal is sent to the motors that move the exoskeleton joints. Simulations of the proposed controller performance were conducted. The experimental results show that the motion accompaniment exhibits a delay of between 20 and 30 ms, and consequently, it may be stated that the integration between the exoskeleton and the sensors achieves a high efficiency. In this work, the integration between inertial sensors and an exoskeleton prototype has been proposed, where it is evident that the integration met the initial objective. In addition, the integration between the exoskeleton and IMOCAP is among the highest efficiency ranges of similar systems that are currently being developed, and the response lag that was obtained could be improved by means of the incorporation of complementary systems.

Indexed as

Exoskeleton DeviceBiomechanical PhenomenaGaitHumansLower ExtremityMovementactuatorsexoskeletonImocap-GISinertial sensorslower limbmotion cycleUDP protocol

Identifiers

PMID35746340
PMCPMC9229016
OpenAlexW4283156421

What OpenQuestion holds

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LicenceCC BY
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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.