Evidence map›Paper›PMID 40410558›Full record

ArticleMedical & biological engineering & computing2025

Estimation of the equivalent external force using a musculoskeletal model with muscle coactivation.

Pau Zamora-Ortiz, Rafael J Escarabajal, José L Pulloquinga, Ángel Valera, Marina Valles

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Article in Medical & biological engineering & computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

5 authors.

Pau Zamora-OrtizGrupo de investigación de Ingeniería, Florida Universitària, Carrer del Rei En Jaume I, 2, Catarroja, 46470, Valencia, Spain. pazamora@florida-uni.es.ORCID http://orcid.org/0000-0002-7284-2181
Rafael J Escarabajal *Instituto de Automática e Informática Industrial (ai2), Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Valencia, Spain.ORCID https://orcid.org/0000-0001-6535-9098
José L Pulloquinga *Departamento Matemática Aplicada, Ciencia e Ingeniería de los Materiales y Tecnología Electrónica, Universidad Rey Juan Carlos, Calle Tulipan s/n, Móstoles, 28933, Madrid, Spain.ORCID https://orcid.org/0000-0003-0403-4593
Ángel ValeraInstituto de Automática e Informática Industrial (ai2), Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Valencia, Spain.ORCID https://orcid.org/0000-0001-6843-6394
Marina VallesInstituto de Automática e Informática Industrial (ai2), Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Valencia, Spain.ORCID https://orcid.org/0000-0002-6396-0098

Funding

Agencia Nacional de Investigación y Desarrollo PID2021-125694OB-I00Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana CIAICO/2023/074
6 · The paper itself

Abstract

The present work introduces a novel method to determine the force vector that a subject must exert at the end of a limb in order to achieve the desired muscle force, taking into account muscle coactivation. The obtained force vector is referred to as the equivalent external force, as it represents the exerted force at the end-effector needed to provoke a desired muscle force. By using a musculoskeletal model of the lower limb and applying the Karush-Kuhn-Tucker conditions, a precise solution has been achieved to calculate the equivalent external force at the foot for the desired muscle force. The method has been tested with a four-degree-of-freedom robot, generating optimal activation trajectories for the vasti and confirming that the desired force level is achieved. The results validate the effectiveness of the proposed method and highlight its potential applications in both medical rehabilitation and sports training. This significant advancement in the field of biomechanics would provide a valuable tool for health and sports professionals, improving training and rehabilitation strategies.

Indexed as

Models, BiologicalMuscle, SkeletalBiomechanical PhenomenaHumansLower ExtremityMuscle ContractionKarush-Kuhn-TuckerLower limbMultidimensional optimisationMusculoSkeletal modelRehabilitation

Identifiers

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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.