ArticleSensors (Basel, Switzerland)2023
Surface Electromyography-Driven Parameters for Representing Muscle Mass and Strength.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- A Systematic Review of Surface Electromyography in Sarcopenia: Muscles Involved, Signal Processing Techniques, Significant Features, and Artificial Intelligence Approaches.Sensors (Basel, Switzerland) · 2025Pooled it
- Electroacupuncture versus conventional acupuncture of scalp motor area for post-stroke wrist dyskinesia and its effect on muscle function: a randomized, controlled clinical trial.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Trial
- Body Acupuncture Conjunction with Rehabilitation for Upper Limb Improves Motor Functions in Children with Spastic Hemiplegic Cerebral Palsy: A Pilot Study.Journal of evidence-based integrative medicineTrial
- Artificial Intelligence and Digital Technologies in Prakriti Assessment: Toward Standardized Evidence-Based Ayurvedic Practice.Journal of Ayurveda and integrative medicine · 2026Review
- Assessment of surface EMG biomarkers in sarcopenic motor dysfunction during postural stabilization.GeroScience · 2026Article
- Discovery of key surface electromyography features during walking for discerning high and low muscle mass using machine learning analysis.Scientific reports · 2026Article
- Neuromuscular characteristics of dynamic balance control in patients with sarcopenia: a combined analysis of surface electromyography and limits of stability.Frontiers in aging neuroscience · 2026Article
- Biomechanical analysis of patients with mild Parkinson's disease during indoor cycling training.Journal of neuroengineering and rehabilitation · 2025Article
- A wearable approach for Sarcopenia diagnosis using stimulated muscle contraction signal.Biomedical engineering letters · 2025Article
- Effects of a mobile app-based biofeedback breathing exercise program on handgrip strength, respiratory muscle activity, and pulmonary function in healthy adults.Frontiers in rehabilitation sciences · 2025Article
- Influence of Gestational Age on Pelvic Floor Muscle Activity, Plantar Contact, and Functional Mobility in High-Risk Pregnant Women: A Cross-Sectional Study.Sensors (Basel, Switzerland) · 2024Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The need for developing a simple and effective assessment tool for muscle mass has been increasing in a rapidly aging society. This study aimed to evaluate the feasibility of the surface electromyography (sEMG) parameters for estimating muscle mass. Overall, 212 healthy volunteers participated in this study. Maximal voluntary contraction (MVC) strength and root mean square (RMS) values of motor unit potentials from surface electrodes on each muscle (biceps brachii, triceps brachii, biceps femoris, rectus femoris) during isometric exercises of elbow flexion (EF), elbow extension (EE), knee flexion (KF), knee extension (KE) were acquired. New variables (MeanRMS, MaxRMS, and RatioRMS) were calculated from RMS values according to each exercise. Bioimpedance analysis (BIA) was performed to determine the segmental lean mass (SLM), segmental fat mass (SFM), and appendicular skeletal muscle mass (ASM). Muscle thicknesses were measured using ultrasonography (US). sEMG parameters showed positive correlations with MVC strength, SLM, ASM, and muscle thickness measured by US, but showed negative correlations with SFM. An equation was developed for ASM: ASM = -26.04 + 20.345 × Height + 0.178 × weight - 2.065 × (1, if female; 0, if male) + 0.327 × RatioRMS(KF) + 0.965 × MeanRMS(EE) (SEE = 1.167, adjusted R
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What OpenQuestion holds
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.