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Using the correlation between IMFx (IMF component with the most ECG features) and each IMF, and PCA are then applied to reduce the dimension of each IMF. Finally, the blind separation of the source ECG signals is achieved by using CICA with IMFx as the constraint reference component. The results of our experiments indicate that our algorithm outperformed CEEMDAN-CICA, CEEMDAN-PCA-CICA, and improved CEEMDAN-PCA-CICA. Besides, the number of iterations of the CICA is significantly reduced; the separated source signal is better; the obtained result is stable. Furthermore, the separated ECG signal has a higher correlation with the source ECG signal and a lower RRMSE, especially in the case of high noise-to-signal ratios.<\/jats:p>","DOI":"10.1007\/s40747-020-00188-7","type":"journal-article","created":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T20:02:46Z","timestamp":1598472166000},"page":"2555-2569","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["CEEMDAN-IMFx-PCA-CICA: an improved single-channel blind source separation in multimedia environment for motion artifact reduction in ambulatory ECG"],"prefix":"10.1007","volume":"9","author":[{"given":"Fan","family":"Xiong","sequence":"first","affiliation":[]},{"given":"Dongyi","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,26]]},"reference":[{"key":"188_CR1","doi-asserted-by":"publisher","first-page":"1750","DOI":"10.3390\/s150101750","volume":"15","author":"M Weder","year":"2015","unstructured":"Weder M, Hegemann D, Amberg M, Hess M, Boesel LF, Ab\u00e4cherli R, Meyer VR, Rossi RM (2015) Embroidered electrode with silver\/titanium coating for long-term ECG monitoring. 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