Most Reviewed
Most Reviewed



Biomedical Signal Processing: A Modern Approach (Biomedical Signal and Image Processing) by Ganesh R. Naik
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773 sales
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$6.29629
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Biomedical Signal Processing: A Modern Approach (Biomedical Signal and Image Processing) by Ganesh R. Naik
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About this item
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.
note:
Please be aware that the product you have purchased is an electronic file in PDF format and not a physical book. This file comes with numerous features that make your experience unique and beneficial. You can open and read it using most modern electronic devices, such as tablets and smartphones.
About this item
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.
note:
Please be aware that the product you have purchased is an electronic file in PDF format and not a physical book. This file comes with numerous features that make your experience unique and beneficial. You can open and read it using most modern electronic devices, such as tablets and smartphones.
$629
$17.99
people viewing this product right now.people are viewing this. Don’t miss out!
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Most Reviewed



Biomedical Signal Processing: A Modern Approach (Biomedical Signal and Image Processing) by Ganesh R. Naik
Nexara
773 sales
NaN
NaN
-65%
$6.29629
$17.99
& Instant Download
You Save:$11.70
65% off
Biomedical Signal Processing: A Modern Approach (Biomedical Signal and Image Processing) by Ganesh R. Naik
0review
NaN
people viewing this product right now.people are viewing this. Don’t miss out!
Payment Methods:
Payment Methods:
Payment Methods:
Payment Methods:
About this item
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.
note:
Please be aware that the product you have purchased is an electronic file in PDF format and not a physical book. This file comes with numerous features that make your experience unique and beneficial. You can open and read it using most modern electronic devices, such as tablets and smartphones.
About this item
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.
note:
Please be aware that the product you have purchased is an electronic file in PDF format and not a physical book. This file comes with numerous features that make your experience unique and beneficial. You can open and read it using most modern electronic devices, such as tablets and smartphones.
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