SynthesisPloS one2018
Wavelet analyses of electromyographic signals derived from lower extremity muscles while walking or running: A systematic review.
Synthesis in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed.
- Effects of Minimalist vs. Traditional Running Shoes on Abdominal Lumbopelvic Muscle Activity in Women Running at Different Speeds: A Randomized Cross-Over Clinical Trial.Sensors (Basel, Switzerland) · 2024Trial
- Effects of minimalist shoes on pelvic floor activity in nulliparous women during running at different velocities: a randomized cross-over clinical trial.Scientific reports · 2022Trial
- Activation patterns of pelvic floor muscles in women with incontinence while running: a randomized controlled trial.International urogynecology journal · 2021Trial
- Shoulder angle effects on neuromuscular activation and rapid force production: sEMG time-frequency and force-time analyses.Frontiers in bioengineering and biotechnology · 2026Article
- Muscle Fiber Recruitment Characteristics in Trained Older Adults: An EMG Frequency Analysis During Voluntary Contraction.Journal of functional morphology and kinesiology · 2025Article
- Comparison of Time-Frequency Characteristics of Lower Limb EMG Signals Among Different Foot Strike Patterns During Running Using the EEMD Algorithm.Life (Basel, Switzerland) · 2025Article
- Children With Fragile X Syndrome Display a Switch Towards Fast Fibres in Their Recruitment Strategy During Gait.Journal of intellectual disability research : JIDR · 2025Article
- Effects of the walking independence on lower extremity and trunk muscle activity during straight-leg raising following incomplete cervical cord injury.Scientific reports · 2024Article
- Coactivation of the Pelvic Floor and Gluteus Medius Muscles While Walking and Running in Female Runners.Sensors (Basel, Switzerland) · 2024Article
- Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing.Frontiers in big data · 2023Article
- Lower Limb Kinematic Coordination during the Running Motion of Stroke Patient: A Single Case Study.Journal of functional morphology and kinesiology · 2022Article
- Correlation Between Skin Autofluorescence and Muscle Activities of Lower Limb in Aging Without Disease and Disability.Gerontology & geriatric medicineArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surface electromyography is often used to assess muscle activity and muscle function. A wavelet approach provides information about the intensity of muscle activity and motor unit recruitment strategies at every time point of the gait cycle. The aim was to review papers that employed wavelet analyses to investigate electromyograms of lower extremity muscles during walking and running. Eleven databases were searched up until June 1st 2017. The composition was based on the PICO model and the PRISMA checklist. First author, year, subject characteristics, intervention, outcome measures & variables, results and wavelet specification were extracted. Eighteen studies included the use of wavelets to investigate electromyograms of lower extremity muscles. Three main topics were discussed: 1.) The capability of the method to correctly assign participants to a specific group (recognition rate) varied between 68.4%-100%. 2.) Patients with ankle osteoarthritis or total knee arthroplasty presented a delayed muscle activation in the early stance phase but a prolonged activation in mid stance. 3.) Atrophic muscles did not contain type II muscle fiber components but more energy in their lower frequencies. The simultaneous information of time, frequency and intensity is of high clinical relevance because it offers valuable information about pre-and reflex activation behavior on different walking and running speeds as well as spectral changes towards high or low frequencies at every time point of the gait cycle.
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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.