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Phonocardiography Signal Processing de Abbas K. Abbas

Phonocardiography Signal Processing: Synthesis Lectures on Biomedical Engineering

Autor Abbas K. Abbas, Rasha Bassam
en Limba Engleză Paperback – 10 apr 2009
The auscultation method is an important diagnostic indicator for hemodynamic anomalies. Heart sound classification and analysis play an important role in the auscultative diagnosis. The term phonocardiography refers to the tracing technique of heart sounds and the recording of cardiac acoustics vibration by means of a microphone-transducer. Therefore, understanding the nature and source of this signal is important to give us a tendency for developing a competent tool for further analysis and processing, in order to enhance and optimize cardiac clinical diagnostic approach. This book gives the reader an inclusive view of the main aspects in phonocardiography signal processing. Table of Contents: Introduction to Phonocardiography Signal Processing / Phonocardiography Acoustics Measurement / PCG Signal Processing Framework / Phonocardiography Wavelets Analysis / Phonocardiography Spectral Analysis / PCG Pattern Classification / Special Application of Phonocardiography / PhonocardiographyAcoustic Imaging and Mapping
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Specificații

ISBN-13: 9783031005091
ISBN-10: 3031005090
Pagini: 194
Ilustrații: XXIV, 194 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.39 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Biomedical Engineering

Locul publicării:Cham, Switzerland

Cuprins

Introduction to Phonocardiography Signal Processing.- Phonocardiography Acoustics Measurement.- PCG Signal Processing Framework.- Phonocardiography Wavelets Analysis.- Phonocardiography Spectral Analysis.- PCG Pattern Classification.- Special Application of Phonocardiography.- Phonocardiography Acoustic Imaging and Mapping.

Notă biografică

Abbas Khudair Abbas Al-Zubaidy, was born in Baghdad, Iraq, in 1979. He received his B.Sc. degree in Medical Engineering in 2001 from Saddam University, Baghdad, and his M.Sc. degree in Cardio[1]vascular Engineering from the same university in 2004. He has been a DAAD (German Academic Exchange Service) Scholarship holder since 2006 in a doctoral study at the Helmholtz Institute of Biomedical Engineering, RWTH Aachen University-Germany. Currently he is doing his Ph.D. project toward development of non-invasive temperature monitoring based on infrared thermography (IRT) imaging technique, for the prediction of physiological and clinical status of the neonate in response to cold and hot stress. He is interested in biomedical signal processing and physiological data clustering techniques. He has published more than 20 conference and journal papers in the field of mechatronic application and biomedical signal processing in clinical analysis module. Formerly he worked as an application engineer in Philips Medical System in Iraq from 2004-2006, he first applied MRS spectroscopy signal acquisition in Iraq, at Al-Khadumiya Teaching Hospital-Nahrain University as a collaboration with the Neuro[1]surgery Department for the development of the lesions localization method based on the MRS-imaging application. Rasha Bassam was born in Baghdad, Iraq in 1984. She received her B.Sc. degree with honors at the Medical Engineering Department of Saddam University in 2005, in Baghdad. She then got a DAAD (German Academic Exchange Service) scholarship to study for her M.Sc. degree in biomedical engineering. She received her M.Sc. degree in biomedical engineering at Aachen University of Applied Sciences in 2009. Currently she is also a DAAD scholarship holder for a doctoral study at the Bioengineering Institute at Aachen University of Applied Sciences, Juelich. Germany. She is interested in cellular bio[1]physics, protein dynamic obscurities, water problems, nitric oxide mysteries, biomedical signal processing, physiological data classification, and clustering techniques. She has published about 15 conference, research review, and journal papers in the fields of protein biophysical dynamics, mechatronic application, and biomedical signal processing in clinical analysis module.