March 09, 2026 preprint Open access Exploring Machine Learning Algorithms for Optimized Muscle Activity Detection Using sEMG Signals: A Systematic Review Research Square DOI: 10.21203/rs.3.rs-9048584/v1 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach 2022 Clinical Neurophysiology article Engineering Muscle activation and electromyography studies Open access 60 citations Artificial intelligence-based classification of motor unit action potentials in real-world needle EMG recordings 2023 Clinical Neurophysiology article Engineering Muscle activation and electromyography studies Open access 14 citations 2 results