NA-MEMD Is Actually What You Need for Computational Pulse Analysis

• Published in: IEEE access Vol. 10; pp. 93981 - 93991
• Main Authors: Xu, Huaxing, Tian, Yunzhi, Wang, Qia, Mao, Xiaobo, Zhao, Yuping, Huang, Luqi
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive algorithms; Algorithms; Biomedical monitoring; Biomedical signal processing; Computational modeling; Computational pulse analysis; Diagnosis; Electrocardiography; Empirical analysis; Feature extraction; Heart rate; Inspection; noise-assisted EMD; objective evaluation; Orthogonality; Performance enhancement; Pulse modulation; Redundant components; Signal analysis; Signal processing algorithms; Smartwatches; Software; Time-frequency analysis; Tracking devices; Visual signals; Visualization; Wrist

Time-frequency analysis is of necessity for wrist pulse signal due to its complexity, among which, empirical mode decomposition (EMD) algorithm and its improved noise-assisted versions (such as ensemble EMD, noise-assisted multivariate EMD (NA-MEMD) and very recently median EMD) are deemed to be the...