Evidence map›Paper›PMID 40381061›Full record

ArticleBiological cybernetics2025

Bond graph analysis of a three-link physiological motor control system: integrating simulation and muscle behavior.

Armeen Saeed, Nadia Sultan, Najam-Ul-Islam Muhammad, A M Mughal

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Biological cybernetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

4 authors.

Armeen SaeedCenter of Excellence in AI (COE-AI), Department of Electrical Engineering, Bahria University, Islamabad, Pakistan.
Nadia SultanCenter of Excellence in AI (COE-AI), Department of Electrical Engineering, Bahria University, Islamabad, Pakistan. nadiaimran.buic@bahria.edu.pk.
Najam-Ul-Islam MuhammadCenter for AI & Big Data (CAID), Namal University, Mianwali, Pakistan.
A M MughalCenter of Excellence in AI (COE-AI), Department of Electrical Engineering, Bahria University, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the process of standing up from a sitting position involves complex biomechanical interactions. Traditional models in biomechanics, which focus on basic movements, often fail to capture the intricate role of muscles. This study improves on current models by concentrating on the contribution of muscles to sit-to-stand movement, specifically addressing three joints in the sagittal plane (hip, knee, and ankle). Bond graph modelling and Hill-type muscle models are used in the study to generate a more realistic representation of the sit-to-stand action. This work emphasizes on the alternate Hill-type model that helps to achieve a more thorough knowledge of muscle mechanics. The complete bond graph model is divided into two subsystems combined with PID controllers, one is the actual system which represents the physiological framework and the second is the virtual system which mimics the behavior of Central Nervous System. It is observed that higher torque results are achieved by the inclusion of muscles in the system as compared to earlier studies. The research adds to the creation of better assistive devices and rehabilitation programs by giving a more realistic model of human mobility. In conclusion, this work introduces an improved method of biomechanical modelling that provides a better understanding of the sit-to-stand action. It questions existing models and suggests a more thorough technique, bringing up new options for biomechanics and rehabilitation research.

Indexed as

Models, BiologicalMuscle, SkeletalBiomechanical PhenomenaComputer SimulationHumansMovementBond graph modellingControl dynamicsHill-type modellingMuscle dynamicsMuscle modellingPhysiological structure

Identifiers

What OpenQuestion holds

Textmetadata
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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.