{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:54:48Z","timestamp":1756000488895,"version":"3.37.3"},"reference-count":15,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["108-2221-E-009-087"],"award-info":[{"award-number":["108-2221-E-009-087"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv. Data Sci. Adapt. Data Anal."],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p> The cardiovascular diseases are the major cause of death globally. To diagnose heart disease, automatic recognition of ECG\u2019s T-wave is necessary. Empirical mode decomposition (EMD) can be used to decompose nonlinear and nonstationary signals. However, using EMD to decompose ECG potentially leads to a mode mixing problem. This study proposes modulated EEMD (mEEMD) as a solution, which can solve mode mixing problems with almost no influence from noise. Furthermore, the mEEMD has a less problematic boundary side effect and does not cause any phase shift. The sensitivity of T-wave onset and offset recognition is [Formula: see text] and [Formula: see text]. <\/jats:p>","DOI":"10.1142\/s2424922x21500029","type":"journal-article","created":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T10:15:40Z","timestamp":1612952140000},"page":"2150002","source":"Crossref","is-referenced-by-count":2,"title":["Toward T-Wave Recognition of ECG Signals Through Modulated Ensemble Empirical Mode Decomposition"],"prefix":"10.1142","volume":"13","author":[{"given":"Chun-Hsiang","family":"Huang","sequence":"first","affiliation":[{"name":"Institute of Biomedical Engineering, College of Electrical and Computer Engineering, Graduate Program of College of Computer Science, Institute of Computer Science and Engineering, College of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan R. O. 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