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Developments and Applications for ECG Signal Processing, do Vale Madeiro, Joao Paulo


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Цена: 17517.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: do Vale Madeiro, Joao Paulo
Название:  Developments and Applications for ECG Signal Processing
ISBN: 9780128140352
Издательство: Elsevier Science
Классификация:


ISBN-10: 0128140356
Обложка/Формат: Paperback
Страницы: 212
Вес: 0.42 кг.
Дата издания: 2019
Язык: English
Размер: 235 x 191 x 11
Основная тема: Biomedical Engineering
Подзаголовок: Modeling, Segmentation, and Pattern Recognition
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

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



Digital Signal Processing and Applications with the OMAP- L138 eXperimenter

Автор: Reay
Название: Digital Signal Processing and Applications with the OMAP- L138 eXperimenter
ISBN: 047093686X ISBN-13(EAN): 9780470936863
Издательство: Wiley
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Цена: 21218.00 р.
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Описание: This is the most comprehensive text available on hands-on teaching of Digital Signal Processing, and the first book to feature the new floating point DSP development system to be promoted by the Texas Instruments University Program: the OMAP L138 eXperimenter and CCS v4 (which replaces the C6713DSK).

Applications, Challenges, And Advancements In Electromyography Signal Processing

Автор: Naik
Название: Applications, Challenges, And Advancements In Electromyography Signal Processing
ISBN: 1466660902 ISBN-13(EAN): 9781466660908
Издательство: Mare Nostrum (Eurospan)
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Цена: 34234.00 р.
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Описание: Electromyography (EMG) is a procedure for assessing and recording the electrical activity produced by skeletal muscles. Since the contracting skeletal muscles are greatly responsible for loading the bones and joints, information about the muscle EMG is important to gain knowledge about muscular-skeletal biomechanics.Applications, Challenges, and Advancements in Electromyography Signal Processing provides an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research. Presenting new results, concepts, and further developments in the field of EMG signal processing, this publication is an ideal resource for graduate and post-graduate students, academicians, engineers, and scientists in the fields of signal processing and biomedical engineering.

Algorithm Collections for Digital Signal Processing Applications Using Matlab

Автор: E.S. Gopi
Название: Algorithm Collections for Digital Signal Processing Applications Using Matlab
ISBN: 1402064098 ISBN-13(EAN): 9781402064098
Издательство: Springer
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Цена: 20896.00 р.
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Описание: The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. There remains a need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. This book attempts to satisfy the above requirement. The algorithms are made clear using MATLAB programs.

Spline and Spline Wavelet Methods with Applications to Signal and Image Processing

Автор: Amir Z. Averbuch; Pekka Neittaanm?ki; Valery A. Zh
Название: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing
ISBN: 331922302X ISBN-13(EAN): 9783319223025
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing Vol. II

Applications of Digital Signal Processing to Audio and Acoustics

Автор: Mark Kahrs; Karlheinz Brandenburg
Название: Applications of Digital Signal Processing to Audio and Acoustics
ISBN: 1475783868 ISBN-13(EAN): 9781475783865
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Karlheinz Brandenburg and Mark Kahrs With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio.

Advances in Heuristic Signal Processing and Applications

Автор: Amitava Chatterjee; Hadi Nobahari; Patrick Siarry
Название: Advances in Heuristic Signal Processing and Applications
ISBN: 364237879X ISBN-13(EAN): 9783642378799
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

Chap. 1: Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design.- Chap. 2: Robust Reduced-Rank Adaptive LCMV Beamforming Algorithms Based on Joint Iterative Optimization of Parameters.- Chap. 3: Designing OFDM Radar Waveform for Target Detection Using Multiobjective Optimization.- Chap. 4: Multiobject Tracking using Particle Swarm Optimization on Target Interactions.- Chap. 5: A Comparative Study of Modified BBO Variants and Other Metaheuristics for Optimal Power Allocation in Wireless Sensor Networks.- Chap. 6: Joint Optimization of Detection and Tracking in Adaptive Radar Systems.- Chap. 7: Iterative Design of FIR Filters.- Chap. 8: A Metaheuristic Approach to Two-Dimensional Recursive Digital Filter Design.- Chap. 9: A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization.- Chap. 10: Swarm Intelligence Techniques Applied to Nonlinear Systems State Estimation.- Chap. 11: Heuristic Optimal Design of Multiplier-less Digital Filter.- Chap. 12: Hybrid Correlation-Neural Network Synergy for Gait Signal Classification.- Chap. 13: Image Denoising Using Wavelets: Application in Medical Imaging.- Chap. 14: Signal Separation with A Priori Knowledge Using Sparse Representation.- Chap. 15: Definition of a Discrete Color Monogenic Wavelet Transform.- Chap. 16: On Image Matching and Feature Tracking for Embedded Systems: State of the Art.


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