ECG Denoising Based on Total Variation Denoising and Wavelets
Published on 5. February 2024
Book
Paperback/Softback
X, 55 pages
978-3-031-25269-3 (ISBN)
Description
This book details a number of electrocardiogram (ECG) denoising techniques based on total variation denoising and different wavelet transforms. The transforms covered include Lifting Wavelet Transform (LWT) and the Stationary Bionic Wavelet Transform (SBWT). The book includes three chapters that are wavelets and wavelet transforms, a denoising technique based on SBWT and WATV, and an ECG denoising technique based on LWT and TVM. The book is relevant to researchers, students, and academics in signal processing and biomedical engineering.
More details
Series
Edition
2023 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
20 farbige Abbildungen, 18 s/w Abbildungen
X, 55 p. 38 illus., 20 illus. in color.
Dimensions
Height: 240 mm
Width: 168 mm
Thickness: 5 mm
Weight
132 gr
ISBN-13
978-3-031-25269-3 (9783031252693)
DOI
10.1007/978-3-031-25267-9
Schweitzer Classification
Other editions
Additional editions
Book
02/2023
Springer
€85.59
Shipment within 15-20 days
Person
Mourad Talbi is an Associate Professor in Electrical Engineering in the Center of Researches and Technologies of Energy of Borj Cedria, Tunis, Tunisia. He has obtained his Master degree in automatics and signal processing in National Engineering School of Tunis in 2004. He has obtained his PhD Thesis in Electronics in Faculty of Sciences of Tunis, and his HDR in Electronics in Faculty of sciences of Tunis.
Content
Chapter 1 Wavelets and Wavelet Transforms.- Chapter 2 A denoising technique based on SBWT and WATV: Application for ECG denoising.- Chapter 3 An ECG Denoising Technique Based on LWT and TVM.