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Developments and Applications for ECG Signal Processing

Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG;

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Ultra Low Power ECG Processing System for IoT Devices

. Describes digital circuit architecture for implementing ECG processing algorithms on chip; Includes coverage of signal processing techniques for;

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Ultra Low Power ECG Processing System for IoT Devices

. Describes digital circuit architecture for implementing ECG processing algorithms on chip; Includes coverage of signal processing techniques for;

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

, interdisciplinary presentation of biomedical signal processing Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked;

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Biomedical Signal Processing and Artificial Intelligence in Healthcare

analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep;

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Machine Intelligence and Signal Processing

in processing signals, for instance, signals generated from IoT devices, smart systems, speech, and videos and addresses biomedical signal processing;

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Feature Engineering and Computational Intelligence in ECG Monitoring

This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these;

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Electrocardiogram Image Digitization

to inspect the ECG signals by doctors or physicians are not effective and time consuming. This book, therefore, provides an automatic system;

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Biomedical Signal Processing for Healthcare Applications

This book examines the use of biomedical signal processing-EEG, EMG, and ECG-in analyzing and diagnosing various medical conditions;

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Random Signal Processing

chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing. The book;

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Random Signal Processing

chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing. The book;

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Time Frequency And Wavelets In Biomedical Signal Processing

Brimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal;

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Biomedical Signal Analysis for Connected Healthcare

, and healthcare applications of various physiological signalsCovers vital signals, including ECG, EEG, EMG and body sounds

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New Signal Processing Research

signals such as ECG, radar signals, and many others. Processing of such signals includes storage and reconstruction, separation of information;

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Window Functions and Their Applications in Signal Processing

zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their;

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Window Functions and Their Applications in Signal Processing

zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their;

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Mathematics in Signal Processing V

in industry carrying out research into signal processing for communications, sonar, radar, navigation and biomedical applications, and to academic;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive;

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Recent Trends in Signal and Image Processing

text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram;

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Programmable Digital Signal Processors: Architecture

Presents the latest developments in the prgramming and design of programmable digital signal processors (PDSPs) with very-long-instruction;

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Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;

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Latent Variable Analysis and Signal Separation

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017;

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Signal Processing and Image Processing for Acoustical Imaging

This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved;

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Multimedia Signal Processing

Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The;

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Nonlinear Biomedical Signal Processing, Volume 1

For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the;

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Signal Processing and Machine Learning with Applications

presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine;

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Optimal and Adaptive Signal Processing

algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing;

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