A novel feature representation approach for single-lead heartbeat classification based on adaptive Fourier decomposition

DOI10.1142/S0219691321500107zbMath1480.92116arXiv1906.07361OpenAlexW3121314025MaRDI QIDQ5022934

Tao Qian, Chunyu Tan, Hau-Tieng Wu, Li-Ming Zhang

Publication date: 20 January 2022

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1906.07361

zbMATH Keywords

time-frequency representationinstantaneous frequencyadaptive Fourier decompositionheartbeat classification

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type (42A38)

Uses Software

• LIBSVM
• PhysioToolkit

Cites Work

• Unnamed Item
• A survey of uncertainty principles and some signal processing applications
• FFT formulations of adaptive Fourier decomposition
• Nonlinear phase unwinding of functions
• Adaptive Fourier series---a variation of greedy algorithm
• TRANSIENT TIME-FREQUENCY DISTRIBUTION BASED ON MONO-COMPONENT DECOMPOSITIONS
• Carrier Frequencies, Holomorphy, and Unwinding
• Adaptive Fourier decomposition‐based Dirac type time‐frequency distribution

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