This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications.
Features:
This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Ganesh Naik ranked as Top 2% of researchers in Biomedical Engineering (Stanford University Research), is a leading expert in biomedical engineering and signal processing. He received his Ph.D. degree in Electronics Engineering, specializing in biomedical engineering and signal processing, from RMIT University, Melbourne, Australia, in December 2009.
He held a Postdoctoral Research Fellow position at MARCS Institute, Western Sydney University (WSU) between July 2017 to July 2020 and worked on a CRC project for sleep. During his tenure at WSU, he has developed several novel algorithms for wearables related to sleep projects. Before that, he held a Chancellor's Post-Doctoral Research Fellowship position in the Centre for Health Technologies, University of Technology Sydney (UTS), between February 2013 and June 2017. As an early mid-career researcher, he has edited 12 books, authored around 150 papers in peer-reviewed journals and conferences. Ganesh serves as an associate editor for IEEE ACCESS, Frontiers in Neurorobotics, and two Springer journals (Circuits, Systems, and Signal Processing and Australasian Physical & Engineering Sciences in Medicine). He is a Baden–Württemberg Scholarship recipient from Berufsakademie, Stuttgart, Germany (2006–2007). In 2010, he was awarded an ISSI overseas fellowship from Skilled Institute Victoria, Australia.
Wellington Pinheiro dos Santos
holds a degree in Electrical and Electronic Engineering (2001) and a Master's degree in Electrical Engineering (2003) from the Federal University of Pernambuco, and a PhD in Electrical Engineering from the Federal University of Campina Grande (2009). He is currently an Associate Professor (exclusive dedication) at the Department of Biomedical Engineering at the Center for Technology and Geosciences / School of Engineering of Pernambuco, Federal University of Pernambuco, working in the Undergraduate Program in Biomedical Engineering and the Graduate Program in Biomedical Engineering. He is also a member of the Graduate Program in Computer Engineering at Escola Politécnica de Pernambuco, Universidade de Pernambuco, since 2009. He has experience in the field of Computer Science, with an emphasis on Graphics Processing, working mainly in the following areas: topics: digital image processing, pattern recognition, computer vision, evolutionary computing, numerical optimization methods, computational intelligence, image formation techniques, virtual reality, game design and applications of Computing and Engineering in Medicine and Biology. He is a member of the Brazilian Society of Biomedical Engineering (SBEB), of the Brazilian Society of Computational Intelligence (SBIC, ex-SBRN), and of the International Federation of Medical and Biological Engineering (IFMBE).
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Artikel-Nr. 6666-TNFPD-9781032061924
Anzahl: 5 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. pages cm. Artikel-Nr. 398846801
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. pages cm. Artikel-Nr. 18397563012
Anzahl: 4 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: New. Artikel-Nr. 50595718-n
Anzahl: 10 verfügbar
Anbieter: California Books, Miami, FL, USA
Zustand: New. Artikel-Nr. I-9781032061924
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: As New. Unread book in perfect condition. Artikel-Nr. 50595718
Anzahl: 10 verfügbar
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Paperback. Zustand: new. Paperback. This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications. Features: Explains signal processing of neuroscience applications using modern data science techniques. Provides comprehensible review on biomedical signals nature and acquisition aspects. Focusses on selected applications of neurosciences, cardiovascular and muscle-related biomedical areas. Includes computational intelligence, machine learning and biomedical signal processing and analysis. Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis. This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science. This book presents the theoretical basis and applications of biomedical signal analysis and processing. This covers the nature of the most common biomedical signals followed by theoretical basis of linear signal processing and machine learning concepts, and pertinent applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Artikel-Nr. 9781032061924
Anzahl: 1 verfügbar
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
Paperback. Zustand: New. This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications. Features: Explains signal processing of neuroscience applications using modern data science techniques. Provides comprehensible review on biomedical signals nature and acquisition aspects. Focusses on selected applications of neurosciences, cardiovascular and muscle-related biomedical areas. Includes computational intelligence, machine learning and biomedical signal processing and analysis. Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis. This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science. Artikel-Nr. LU-9781032061924
Anzahl: Mehr als 20 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 294 pages. 9.18x6.12x9.21 inches. In Stock. Artikel-Nr. x-1032061928
Anzahl: 2 verfügbar
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
Paperback. Zustand: New. This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications. Features: Explains signal processing of neuroscience applications using modern data science techniques. Provides comprehensible review on biomedical signals nature and acquisition aspects. Focusses on selected applications of neurosciences, cardiovascular and muscle-related biomedical areas. Includes computational intelligence, machine learning and biomedical signal processing and analysis. Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis. This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science. Artikel-Nr. LU-9781032061924
Anzahl: Mehr als 20 verfügbar