Evidence map›Paper›PMID 42351888›Full record

ArticleBioengineering (Basel, Switzerland)2026

Mechatronic Design and Development of a Lower-Limb Exoskeleton System Based on Knee Joint Biomechanical Principles Using Electro-Pneumatic Actuation with an Embedded EMG Controller for Experimental Validation in Elderly Gait Rehabilitation Support.

Adrian Nacarino, Bryan Sanchez, Sandra Charapaqui, Renzo Charapaqui, Renzo R Maldonado-Gómez, Leslie M Mendoza-Arias, Daira de la Barra, Cristina Ccellcaro, Ricardo Palomares, Jose Cornejo and 3 more

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Adrian NacarinoInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.ORCID 0009-0000-1151-761X
Bryan SanchezInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.
Sandra CharapaquiInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.
Renzo CharapaquiInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.
Renzo R Maldonado-GómezInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.ORCID 0009-0004-5895-3557
Leslie M Mendoza-AriasInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.
Daira de la BarraInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.ORCID 0009-0007-2986-9243
Cristina CcellcaroInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.ORCID 0000-0003-0328-6895
Ricardo PalomaresResearch Group of Advanced Robotics and Mechatronics (GI-ROMA), Ricardo Palma University, Lima 15039, Peru.
Jose CornejoInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.ORCID 0000-0003-4096-9337
Mariela VargasInstituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma, Lima 15039, Peru.ORCID 0000-0002-9155-9904
Robert CastroProfessional School of Mechatronics Engineering, Ricardo Palma University, Lima 15039, Peru.
Jorge CornejoMayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0001-9703-3340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is the second leading cause of death globally and a major contributor to lower-limb disability, affecting gait, balance, and functional independence in elderly populations. While robot-assisted rehabilitation has demonstrated effectiveness in motor recovery, access remains limited due to high costs and geographic barriers, particularly in Latin America. This study presents ExoKnee, a low-cost knee exoskeleton designed through biomimetic principles and 3D-printed fabrication as a proof-of-concept device targeting gait rehabilitation in elderly adults. The system integrates a single-degree-of-freedom pneumatic actuator controlled by electromyography (EMG) signals from the quadriceps muscle, enabling knee flexion and extension (90° to 180°). The design was evaluated through finite element analysis and dynamic simulations in MATLAB/Simulink R2024a under constant, stepwise, and sinusoidal reference inputs in a digital-twin environment. Expert validation using the Content Validity Coefficient yielded a mean score of 0.8747, reflecting preliminary expert agreement on the conceptual design's coherence and relevance. The prototype demonstrated controlled movements through a 6-bar pneumatic system with EMG-triggered relay activation, validated at the proof-of-concept level through simulation and single-subject threshold calibration. ExoKnee addresses critical gaps by offering an anthropometrically informed, biosignal-driven, and locally manufacturable rehabilitation platform for low- and middle-income countries, pending clinical validation. Future work will focus on clinical trials and adaptive EMG control strategies.

Indexed as

3D printingelderly rehabilitationelectromyographyelectro-pneumaticembedded control systemsgait assistanceknee exoskeletonlower-limb orthosis

Identifiers

PMID42351888
PMCPMC13295496

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.