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Journal Abstract Search
208 related items for PubMed ID: 26964297
1. [An Improved Empirical Mode Decomposition Algorithm for Phonocardiogram Signal De-noising and Its Application in S1/S2 Extraction]. Gong J, Nie S, Wang Y. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Oct; 32(5):970-4. PubMed ID: 26964297 [Abstract] [Full Text] [Related]
9. Application of Empirical Mode Decomposition Combined With Notch Filtering for Interpretation of Surface Electromyograms During Functional Electrical Stimulation. Pilkar R, Yarossi M, Ramanujam A, Rajagopalan V, Bayram MB, Mitchell M, Canton S, Forrest G. IEEE Trans Neural Syst Rehabil Eng; 2017 Aug; 25(8):1268-1277. PubMed ID: 27834646 [Abstract] [Full Text] [Related]
11. [Empirical mode of combination of the wavelet threshold filtering and empirical mode decomposition (EMD) based on energy estimate]. Li X, Wang H, Wang Y, Zhao F. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Dec; 28(6):1098-102. PubMed ID: 22295693 [Abstract] [Full Text] [Related]
12. Unsupervised detection and classification of heartbeats using the dissimilarity matrix in PCG signals. Torre-Cruz J, Martinez-Muñoz D, Ruiz-Reyes N, Muñoz-Montoro AJ, Puentes-Chiachio M, Canadas-Quesada FJ. Comput Methods Programs Biomed; 2022 Jun; 221():106909. PubMed ID: 35649297 [Abstract] [Full Text] [Related]
18. A feature extraction method for adaptive DBS using an improved EMD. Sun Q, Zhao D, Cheng S, Hou X, Zhao X, Tian Y. Int J Neurosci; 2018 Oct; 128(10):975-986. PubMed ID: 29527963 [Abstract] [Full Text] [Related]
20. Improved Segmentation with Dynamic Threshold Adjustment for Phonocardiography Recordings. Ozkan I, Yilmaz A, Celebi G. Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6681-6684. PubMed ID: 31947374 [Abstract] [Full Text] [Related] Page: [Next] [New Search]