Cognitively aligned pattern learning: a knowledge-sensitive adaptive framework for multi-class pattern recognition in sEMG systems.

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Bibliographic Details
Title: Cognitively aligned pattern learning: a knowledge-sensitive adaptive framework for multi-class pattern recognition in sEMG systems.
Authors: Vanarasan S; Department of Artificial Intelligence and Machine Learning, Sri Sairam College of Engineering, Anekal, Bengaluru, 562106, India., Pandiaraja P; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Avadi, 600062, TamilNadu, India. sppandiaraja@gmail.com., Kanimozhi R; Department of Artificial Intelligence and Data Science, A.V.C. College of Engineering, Mayiladuthurai, 609305, Tamil Nadu, India., Muthumanickam K; Department of Information Technology, Kongunadu College of Engineering and Technology, Tholurpatti, Tiruchirappalli, 621215, TamilNadu, India.
Source: Scientific reports [Sci Rep] 2026 Jul 07. Date of Electronic Publication: 2026 Jul 07.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-61360-6