{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T09:28:56Z","timestamp":1773912536903,"version":"3.50.1"},"reference-count":39,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T00:00:00Z","timestamp":1762041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Research and Development Fund of the Institute of Environmental Friendly Materials and Occupational Health, Anhui University of Science and Technology","award":["ALW2022YF06"],"award-info":[{"award-number":["ALW2022YF06"]}]},{"name":"Anhui University of Technology Graduate Student Innovation Fund","award":["2025cx2093"],"award-info":[{"award-number":["2025cx2093"]}]},{"name":"Academic Support Project for Top-notch Talents in Disciplines (Majors) of Colleges and Universities in Anhui Province, China","award":["gxbjZD2021052"],"award-info":[{"award-number":["gxbjZD2021052"]}]},{"name":"University Synergy Innovation Program of Anhui Province, China","award":["GXXT-2022-053"],"award-info":[{"award-number":["GXXT-2022-053"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,16]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Global rehabilitation demands (2.41 billion people) urgently require advanced motion intention recognition for exoskeletons. Surface electromyography signals face challenges in positional ambiguity and noise sensitivity during lower limb motion decoding. We propose DCTran, a hybrid CNN-Transformer model featuring (1) adaptive positional encoding (tAPE\/eRPE) dynamically aligning muscle activation phases; (2) a frequency-aware network (1D DFD-FFN) reducing parameters by 81.5$\\%$ via spectral gating; and (3) dynamic augmentation (DWRA\/TDE) enhancing cross-subject robustness. Evaluated on OYMotion (six subjects, six motions) and public ENABL3S datasets, DCTran achieved 91.86$\\%$ and 94.38$\\%$ accuracy, outperforming ConvTran by +5.2$\\%$. Ablation studies validated tAPE\/eRPE (+4.86$\\%$ accuracy) and 1D DFD-FFN (+3.6$\\%$) contributions. This enables real-time exoskeleton control and multimodal physiological fusion.<\/jats:p>","DOI":"10.1093\/comjnl\/bxaf125","type":"journal-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T12:13:37Z","timestamp":1760012017000},"page":"453-469","source":"Crossref","is-referenced-by-count":0,"title":["A hybrid CNN-Transformer for lower limb motion classification via surface electromyography"],"prefix":"10.1093","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9240-0179","authenticated-orcid":false,"given":"Weiyan","family":"Lu","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Anhui University of Science and Technology , 15 Fengxia Road, Changfeng County, Hefei, 231131, Anhui Province ,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5309-802X","authenticated-orcid":false,"given":"Liuyi","family":"Ling","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Anhui University of Science and Technology , 15 Fengxia Road, Changfeng County, Hefei, 231131, Anhui Province ,","place":["China"]},{"name":"State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining, Anhui University of Science and Technology , 168 Taifeng Street,Huainan, 232001, Anhui Province ,","place":["China"]},{"name":"School of Electrical & Information Engineering, Anhui University of Science and Technology , 168 Taifeng Street,Huainan, 232001, Anhui Province ,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8594-8014","authenticated-orcid":false,"given":"Liyu","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Anhui University of Science and Technology , 15 Fengxia Road, Changfeng County, Hefei, 231131, Anhui Province 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