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Author: Adam Gacek
Publisher: Springer Science & Business Media
ISBN: 0857298682
Category : Technology & Engineering
Languages : en
Pages : 283
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Book Description
The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.
Author: Adam Gacek
Publisher: Springer Science & Business Media
ISBN: 0857298682
Category : Technology & Engineering
Languages : en
Pages : 283
Get Book Here
Book Description
The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.
Author: Joao Paulo do Vale Madeiro
Publisher: Academic Press
ISBN: 0128140364
Category : Technology & Engineering
Languages : en
Pages : 212
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Book Description
Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG signal processing and their potential to significantly increase the applicability of ECG use in diagnosis. This book details a wide range of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting practical and robust solutions based on digital signal processing techniques. Users will find this to be a comprehensive resource that contributes to research on the automatic analysis of ECG signals and extends resources relating to rapid and accurate diagnoses, particularly for long-term signals. Chapters cover classical and modern features surrounding f ECG signals, ECG signal acquisition systems, techniques for noise suppression for ECG signal processing, a delineation of the QRS complex, mathematical modelling of T- and P-waves, and the automatic classification of heartbeats. - Gives comprehensive coverage of ECG signal processing - Presents development and parametrization techniques for ECG signal acquisition systems - Analyzes and compares distortions caused by different digital filtering techniques for noise suppression applied over the ECG signal - Describes how to identify if a digitized ECG signal presents irreversible distortion through analysis of its frequency components prior to, and after, filtering - Considers how to enhance QRS complexes and differentiate these from artefacts, noise, and other characteristic waves under different scenarios
Author: Gari D. Clifford
Publisher: Artech House Publishers
ISBN:
Category : Computers
Languages : en
Pages : 412
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Book Description
This practical book is the first one-stop resource to offer a thorough, up-to-date treatment of the techniques and methods used in electrocardiogram (ECG) data analysis, from fundamental principles to the latest tools in the field. The book places emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intelligence techniques.
Author: Luigi Fortuna
Publisher: World Scientific
ISBN: 9814313157
Category : Science
Languages : en
Pages : 395
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Book Description
Pt. F. Microfluidics : theory, methods and applications. Moving boundary problems for the BGK model of rarefied gas dynamics / G. Russo. Experimental investigation on parameters for the control of droplets dynamics / F. Sapuppo, F. Schembri and M. Bucolo. Rapid prototyping of Thiolene microfluidic chips / G. Mistura ... [et al.]. Development integrated inductive sensors for magnetic immunoassay in "lab on chip" devices / B. Ando ... [et al.] -- pt. G. Mathematical modelling of dynamic systems for volcano physics. Wavelet multi-resolution analysis for the local separation of microgravity anomalies at Etna volcano / F. Greco ... [et al.]. Integrated inversion of numerical geophysical models using artificial neural networks / A. Di Stefano ... [et al.]. SPH modeling of lava flows with GPU implementation / A. Herault ... [et al.]. 3D dynamic model for channeled model flows with nonlinear rheology / M. Filippucci, A. Tallarico and M. Dragoni. Clustering of infrasonic events as tool to detect and locate explosive activity at Mt. Etna volcano / P. Montalto ... [et al.]. Lava flow susceptibility map of Mt. Etna based on numerical simulations / A. Cappello, C. Del Negro and A. Vicari. Automated detection and analysis of volcanic thermal anomalies through the combined use of SEVIRI and MODIS / G. Ganci ... [et al.]. Modeling volcanomagnetic dynamics by recurrent least-square support vector machines / S. Jankowski ... [et al.] -- pt. H. Geometric control for quantum and classical models.
Author: Leo Anthony Celi
Publisher: Springer Nature
ISBN: 3030479943
Category : Medical
Languages : en
Pages : 471
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Book Description
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Author: Abdulhamit Subasi
Publisher: Academic Press
ISBN: 0128176733
Category : Medical
Languages : en
Pages : 458
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Book Description
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. - Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction - Explains how to apply machine learning techniques to EEG, ECG and EMG signals - Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series
Author: Dawn Y. Bean
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 200
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Book Description
Author: Panicos A. Kyriacou
Publisher: Academic Press
ISBN: 012823525X
Category : Technology & Engineering
Languages : en
Pages : 508
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Book Description
Photoplethysmography: Technology, Signal Analysis, and Applications is the first comprehensive volume on the theory, principles, and technology (sensors and electronics) of photoplethysmography (PPG). It provides a detailed description of the current state-of-the-art technologies/optical components enabling the extreme miniaturization of such sensors, as well as comprehensive coverage of PPG signal analysis techniques including machine learning and artificial intelligence. The book also outlines the huge range of PPG applications in healthcare, with a strong focus on the contribution of PPG in wearable sensors and PPG for cardiovascular assessment. - Presents the underlying principles and technology surrounding PPG - Includes applications for healthcare and wellbeing - Focuses on PPG in wearable sensors and devices - Presents advanced signal analysis techniques - Includes cutting-edge research, applications and future directions
Author: Amir Momeni
Publisher: Springer
ISBN: 3319605437
Category : Medical
Languages : en
Pages : 322
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Book Description
This text provides a comprehensive and practical review of the main statistical methods in pathology and laboratory medicine. It introduces statistical concepts used in pathology and laboratory medicine. The information provided is relevant to pathologists both for their day to day clinical practice as well as in their research and scholarly activities. The text will begins by explaining the fundamentals concepts in statistics. In the later sections, these fundamental concepts are expanded and unique applications of statistical methods in pathology and laboratory medicine practice are introduced. Other sections of the text explain research methodology in pathology covering a broad range of topics from study design to analysis of data. Finally, data-heavy novel concepts that are emerging in pathology and pathology research are presented such as molecular pathology and pathology informatics. Introduction to Statistical Methods in Pathology will be of great value for pathologists, pathology residents, basic and translational researchers, laboratory managers and medical students.
Author: Adam Gacek
Publisher: Springer
ISBN: 9780857298690
Category : Technology & Engineering
Languages : en
Pages : 278
Get Book Here
Book Description
The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.
