{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T15:04:22Z","timestamp":1790262262812,"version":"4.1.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province, China","doi-asserted-by":"publisher","award":["2024A1515012014"],"award-info":[{"award-number":["2024A1515012014"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82272617"],"award-info":[{"award-number":["82272617"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Syst. Rehabil. Eng."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tnsre.2026.3674934","type":"journal-article","created":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T20:25:28Z","timestamp":1773779128000},"page":"1626-1637","source":"Crossref","is-referenced-by-count":1,"title":["LLM-Powered Dysphagia Screening With Multimodal Physiological Signal Analysis and Medically Informed Prompts"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5113-037X","authenticated-orcid":false,"given":"Yanxia","family":"Liu","sequence":"first","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1003-9783","authenticated-orcid":false,"given":"Le","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9599-3532","authenticated-orcid":false,"given":"Lian","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaomei","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nrgastro.2015.49"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000190056.76543.eb"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/1747493016639057"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1136\/pgmj.2005.043281"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0148424"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/23969873211039721"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.38.2.317"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmr.2008.06.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-016-1561-2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1044\/2021_JSLHR-21-00134"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-65492-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-014-9547-4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-018-09974-5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2025.3540842"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s21082603"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1098\/rsos.181982"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.059"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1044\/2020_AJSLP-19-00155"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1044\/2020_PERSP-20-00073"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-021-10317-0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2935302"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-020-10177-0"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2019.8834576"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74048-3_4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-016-0483-9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0377-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779939"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00822-7"},{"key":"ref29","article-title":"TimesNet: Temporal 2D-variation modeling for general time series analysis","author":"Wu","year":"2022","journal-title":"arXiv:2210.02186"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3342137"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1877"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-industry.69"},{"key":"ref33","first-page":"1","article-title":"Time-LLM: Time series forecasting by reprogramming large language models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Jin"},{"key":"ref34","first-page":"1","article-title":"TEMPO: Prompt-based generative pre-trained transformer for time series forecasting","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Cao"},{"key":"ref35","article-title":"MedTsLLM: Leveraging LLMs for multimodal medical time series analysis","author":"Chan","year":"2024","journal-title":"arXiv:2408.07773"},{"key":"ref36","first-page":"3","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"Proc. ICLR","author":"Hu"},{"key":"ref37","first-page":"2790","article-title":"Parameter-efficient transfer learning for NLP","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Houlsby"},{"key":"ref38","article-title":"Prefix-tuning: Optimizing continuous prompts for generation","author":"Lisa Li","year":"2021","journal-title":"arXiv:2101.00190"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-short.1"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2017.00676"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2021.696071"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.2147\/cia.s97481"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-011-9350-4"},{"key":"ref44","article-title":"A time series is worth 64 words: Long-term forecasting with transformers","author":"Nie","year":"2022","journal-title":"arXiv:2211.14730"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3560815"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1516"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-022-10472-y"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20729"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i10.28978"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-016-9758-y"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref53","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ke"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.067"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1201\/9781003612742-2"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0718"},{"key":"ref57","article-title":"TimeMixer: Decomposable multiscale mixing for time series forecasting","author":"Wang","year":"2024","journal-title":"arXiv:2405.14616"},{"issue":"8","key":"ref58","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI Blog"},{"key":"ref59","article-title":"OPT: Open pre-trained transformer language models","author":"Zhang","year":"2022","journal-title":"arXiv:2205.01068"},{"key":"ref60","article-title":"DeepSeek-r1: Incentivizing reasoning capability in LLMs via reinforcement learning","author":"Guo","year":"2025","journal-title":"arXiv:2501.12948"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/AISP.2017.8324095"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/MetroInd4.0IoT51437.2021.9488503"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.otc.2013.08.005"}],"container-title":["IEEE Transactions on Neural Systems and Rehabilitation Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7333\/11311371\/11436121.pdf?arnumber=11436121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T19:51:56Z","timestamp":1774554716000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11436121\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/tnsre.2026.3674934","relation":{},"ISSN":["1534-4320","1558-0210"],"issn-type":[{"value":"1534-4320","type":"print"},{"value":"1558-0210","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}