ArticleBMC musculoskeletal disorders2026
Correlation study: electrical impedance-based approximation of knee joint angle and extensor.
Article in BMC musculoskeletal disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Correction: Correlation study: electrical impedance-based approximation of knee joint angle and extensor strength during concentric knee extension.BMC musculoskeletal disorders · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Musculoskeletal disorders often lead to pain, limited mobility, and reduced quality of life. Monitoring muscle function is crucial for understanding and treating these conditions, yet current methods like dynamometry are impractical for daily use. Consequently, there is a clear need for practical, clinically applicable solutions to estimate muscle function. This work used electrical impedance tomography (EIT) measurements as a non-invasive alternative. EIT data were recorded from the thigh during concentric knee extension at predefined torque levels, simultaneously measured with a dynamometer. A data-driven model was applied to analyze conductivity changes linked to muscle activation. Results indicate that EIT signals reflect knee joint angle and extensor strength, highlighting its potential for portable, real-time monitoring in clinical settings.
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Registered trials
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.