Optimal selection of wavelet basis function applied to ECG signal denoising

By Brijraj Singh, Arvind Kumar Tiwari. Digit. Signal Process., 2006

538 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/91fdc98704afc6ea1d723ccb853b60d783628a3d

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In Cardiology and Cardiovascular Medicine

In Computer Vision and Pattern Recognition

In Signal Processing

Citations in the corpus

ECG-based heartbeat classification for arrhythmia detection: A survey (2016, methodology): “In the last decade, many methods based on wavelet transforms have been employed to remove noise, since they preserve ECG signal properties avoiding loss of its important physiological details and are simple from a computational point of view [27, 28, 29].”
Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring (2017, methodology): “Among various preprocessing approaches in the literature, we have analyzed the performance of various filtering and denoising methods including finite impulse response filters, infinite impulse response, empirical mode decomposition [22], and discrete wavelet decomposition (DWT) [23].”
Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals (2016, methodology): “The inverse wavelet transform is computed from the third to the ninth level detail sub-bands to obtain the denoised and smoothed ECG signal (Singh and Tiwari, 2006).”
Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations (2017, background): “Other common choices of Bk include spline (De Boor, 1972) and wavelet bases (Singh and Tiwari, 2006).”
Application of mother wavelet functions for automatic gear and bearing fault diagnosis (2010, background): “The dominant contributions to optimum mother wavelet selection can be found in literature (e.g. Ahuja, Lertrattanapanich, & Bose, 2005; Brechet, Lucas, Doncarli, & Farina, 2007; Flanders, 2002; Singh & Tiwari, 2006; Tse, Yang, & Tam, 2004).”