ArticleSensors (Basel, Switzerland)2024
Development of Surface EMG for Gait Analysis and Rehabilitation of Hemiparetic Patients.
Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Altered Neuromuscular Time-Frequency Organization During Sit-to-Walk in Parkinson's Disease: An Explainable Artificial Intelligence Approach Using Surface Electromyography.Sensors (Basel, Switzerland) · 2026Article
- Machine learning classification of early-stage Parkinson's disease using sit-to-walk biomechanical features.Scientific reports · 2026Article
- Development of an RGB-depth camera-based gait analysis system: a single-case study of a patient with stroke.Journal of Yeungnam medical science · 2026Article
- Analysis of the Temporo-Spatial and Electromyographic Characteristics of Gait in a Hemiplegic Patient: A Single-Subject Case Report.Reports (MDPI) · 2025Article
- Mechanical Structure Design and Motion Simulation Analysis of a Lower Limb Exoskeleton Rehabilitation Robot Based on Human-Machine Integration.Sensors (Basel, Switzerland) · 2025Article
- A Transfer Learning Approach for Toe Walking Recognition Using Surface Electromyography on Leg Muscles.Sensors (Basel, Switzerland) · 2025Article
- Characteristics of Force Development and Muscle Excitation in Resisted and Assisted Jumps in Comparison with the Isometric Mid-Shin Pull.Sensors (Basel, Switzerland) · 2025Article
- The Design and Application of an Assistive Hip Joint Exoskeleton for Tower Climbing.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
4 authors.
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Abstract
backgroundThe quantification of electromyographic activity using surface electrodes is invaluable for understanding gait disorders in patients with central nervous system lesions. We propose to evaluate a commercially available low-cost system compared to a reference system in participants with stroke-related movement disorders in functional situations.
methodsThree hemiparetic participants performed three functional tasks: two treadmill walks at different speeds and a sit-to-stand test. The vastus lateralis and gastrocnemius medialis muscles were equipped with two EMG sensors. The comparison between the two EMG systems was based on 883 identified cycles. Spearman's correlation coefficients (SCs), linear correlation coefficients (LCCs), and cross-correlation coefficients (CCCs) were calculated.
resultsThe main results indicate good to very good similarity of the EMG signals collected from the two tested sEMG systems. In the comfortable-walking condition, an SC of 0.894 ± 0.091 and an LCC of 0.909 ± 0.094 were noted. In the fast-walking condition, an SC of 0.918 ± 0.064 and an LCC of 0.935 ± 0.056 were observed. For the 1 min sit-to-stand test, an SC of 0.880 ± 0.058 and an LCC of 0.881 ± 0.065 were noted.
conclusionsThis study demonstrates good to very good similarity between the two sEMG systems, enabling the analysis of muscle activity during functional tasks.
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