A novel approach for decomposition of biomedical signals in different applications based on data-adaptive Gaussian average filtering
Authors:
- Yue-Der LinYue-Der Lin
- Yong Kok TanYTYong Kok Tan
- Baofeng TianBTBaofeng Tian
- 1 January 2022
- journal article
- research article
- Published by Elsevier in Biomedical Signal Processing and Control
- Vol. 71
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Science and Technology, Taiwan (106-2221-E-035-024-MY2, 108-2221-E-035-032, MOST 110-2221-E-035-006-MY3)
This publication has 37 references indexed in Scilit:
- Extracting respiratory information from seismocardiogram signals acquired on the chest using a miniature accelerometerPhysiological Measurement, 2012
- On the HHT, its problems, and some solutionsMechanical Systems and Signal Processing, 2008
- Automatic detection of microvolt T-wave alternans in Holter recordings: Effect of baseline wanderingBiomedical Signal Processing and Control, 2006
- An advanced detrending method with application to HRV analysisIEEE Transactions on Biomedical Engineering, 2002
- The impact of the MIT-BIH Arrhythmia DatabaseIEEE Engineering in Medicine and Biology Magazine, 2001
- PhysioBank, PhysioToolkit, and PhysioNetCirculation, 2000
- The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysisProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998
- Heart rate variability: Origins, methods, and interpretive caveatsPsychophysiology, 1997
- A new non-invasive approach for monitoring respiratory movements of sleeping subjectsPhysiological Measurement, 1995
- Computer analysis techniques for phonocardiogram diagnosisComputers and Biomedical Research, 1976