Download or read book Using Neural Networks for the Recognition of Cardiac ECG Signals written by Ali Isin and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: An electrocardiogram (ECG) is a bioelectrical signal which records the heart's electrical activity versus time. It is an important diagnostic tool for assessing heart functions. In this book, pattern recognition techniques are used for the interpretation of an ECG signal. The techniques used in this pattern recognition application are, signal pre-processing, QRS detection, feature extraction and artificial neural network for signal and cardiac condition (healthy or a certain disease) classification. In this book, the signal processing and neural network toolbox are used in Matlab environment. The processed signal source came from the Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmia database which was developed for research in cardiac electrophysiology. Three conditions of ECG waveform were selected from MIT-BIH database in this book. The ECG samples were pre-processed, then features representing the each sample were extracted to produce a set of features that can be used in a neural network to make the classification of samples and the recognition rates were recorded. The book is focused on finding an easy but reliable feature extraction method.

Download or read book ECG Signal Processing Classification and Interpretation written by Adam Gacek and published by Springer Science & Business Media. This book was released on 2011-09-18 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Feature Engineering and Computational Intelligence in ECG Monitoring written by Chengyu Liu and published by Springer Nature. This book was released on 2020-06-24 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a “snapshot” of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.

Download or read book Advances in Cardiac Signal Processing written by U. Rajendra Acharya and published by Springer Science & Business Media. This book was released on 2007-04-25 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive review of progress in the acquisition and extraction of electrocardiogram signals. The coverage is extensive, from a review of filtering techniques to measurement of heart rate variability, to aortic pressure measurement, to strategies for assessing contractile effort of the left ventricle and more. The book concludes by assessing the future of cardiac signal processing, leading to next generation research which directly impact cardiac health care.

Download or read book Classification in BioApps written by Nilanjan Dey and published by Springer. This book was released on 2017-11-10 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges. Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.

Download or read book Biometric Recognition written by Zhenan Sun and published by Springer. This book was released on 2014-10-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th Chinese Conference on Biometric Recognition, CCBR 2014, held in Shenyang, China, in November 2014. The 60 revised full papers presented were carefully reviewed and selected from among 90 submissions. The papers focus on face, fingerprint and palmprint, vein biometrics, iris and ocular biometrics, behavioral biometrics, application and system of biometrics, multi-biometrics and information fusion, other biometric recognition and processing.

Download or read book Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems ICITES2014 written by Jengnan Juang and published by Springer. This book was released on 2015-11-12 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the original, peer reviewed research from the 3rd International Conference on Intelligent Technologies and Engineering Systems (ICITES2014), held in December, 2014 at Cheng Shiu University in Kaohsiung, Taiwan. Topics covered include: Automation and robotics, fiber optics and laser technologies, network and communication systems, micro and nano technologies and solar and power systems. This book also Explores emerging technologies and their application in a broad range of engineering disciplines Examines fiber optics and laser technologies Covers biomedical, electrical, industrial and mechanical systems Discusses multimedia systems and applications, computer vision and image & video signal processing

Download or read book Pattern Recognition of Abnormal ECG Signal Using Back propagation Neural Network written by Gioan Dinh Duong and published by . This book was released on 1991 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Classification of ECG Signals written by Sahana Ramesh and published by . This book was released on 2016 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrocardiogram (ECG) plays an enormous role in the medical field. An electrocardiograph is a device used in cardiology, which records heart's electrical signals over time. ECG can be used to determine various heart diseases or damages to the heart along with the pace at which the heart beats as well as the effects of drugs or devices used to control the heart. The interpretation of the ECG signals is an application of pattern recognition. The technique used in this project integrates the study of the ECG signals and their classification. Analysis of ECG signals is done using neural network pattern recognition and classification methods. The study includes simulation of ECG signals, comparison between ECG signals, and detection of any abnormalities in the signal by using effective learning algorithms & pattern recognition techniques. The processed signals used in this project are obtained from an arrhythmia database, which was developed for research in cardiac electrophysiology by Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH). The neural clustering application available in the pattern recognition tool software is used to classify ECG signals based on self-organizing maps. Self-organizing maps are used to cluster the data, based on the similarity and topology, which reduces the dimensionality of the data. Thus, after training the network using the classification tool, a given ECG signal can be classified as normal or arrhythmic signal based on its features.

Download or read book Time frequency Analysis with Neural Network Classification for Intracardiac Arrhythmia Recognition written by Ming-Chuan Yan and published by . This book was released on 1995 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing written by Rajesh Kumar Tripathy and published by Elsevier. This book was released on 2024-06-17 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detection of cardiovascular diseases, heart valve disorders, hypertension, and activity monitoring using ECG, PPG, and PCG signals. In addition, this book also includes the applications of digital signal processing (time-frequency analysis, multiscale decomposition, feature extraction, non-linear analysis, and transform domain methods), machine learning and deep learning (convolutional neural network (CNN), recurrent neural network (RNN), transformer and attention-based models, etc.) techniques for the analysis of cardiac signals. The interpretable machine learning and deep learning models combined with signal processing for cardiovascular data analysis are also covered. Provides details regarding the application of various signal processing and machine learning-based methods for cardiovascular signal analysis Covers methodologies as well as experimental results and studies Helps readers understand the use of different cardiac signals such as ECG, PCG, and PPG for the automated detection of heart ailments and other related biomedical applications

Download or read book Synthesis of Neural Network Approaches Used for Ecg Classification written by Benali Radhwane and published by LAP Lambert Academic Publishing. This book was released on 2011-12 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cardiovascular diseases represent the most frequent cause of death in Europe. Consequently, their diagnoses appear a vital task. In cardiology unit, ECG signal still remains the dominant used tools for arrhythmia and heart diseases analysis. In fact, the ECG is a non-invasive tool to explore the functional heart sate. It is an electrical signal varying according to the electrical heart state. From the ECG signal, some significant parameters can be extracted. Generally, the durations and the shapes of the different waves are taken as bio-indicators of certain cardiac anomalies. In fact, manual detection and classification of ECG waves is a difficult and annoying task especially for the analysis of the long recordings as in Holters and ambulatory cases. Besides, a detailed analysis of 12-leads ECG used to identify the presence or the absence of the cardiac malfunction is also irritating. However, and due to large number of patients in intensive care units, the need for continuous heart activity monitoring is necessary requiring therefore the automatic analysis of the ECG signal.

Download or read book Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting written by Hongen Liao and published by Springer Nature. This book was released on 2019-10-12 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For MLMECH 2019, 16 papers were accepted for publication from a total of 21 submissions. They focus on machine learning techniques and analyzing of ECG data in the diagnosis of heart diseases. CVII-STENT 2019 accepted all 8 submissiones for publication. They contain technological and scientific research concerning endovascular procedures.

Download or read book Electrocardiogram Signal Classification and Machine Learning Emerging Research and Opportunities written by Moein, Sara and published by IGI Global. This book was released on 2018-05-25 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress in the diagnosis of heart disorders. Electrocardiogram Signal Classification and Machine Learning: Emerging Research and Opportunities is a critical scholarly resource that examines the importance of automatic normalization and classification of electrocardiogram (ECG) signals of heart disorders. Featuring a wide range of topics such as common heart disorders, particle swarm optimization, and benchmarks functions, this publication is geared toward medical professionals, researchers, professionals, and students seeking current and relevant research on the categorization of ECG signals.

Download or read book Fundamentals of Deep Learning written by Nikhil Buduma and published by "O'Reilly Media, Inc.". This book was released on 2017-05-25 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning

Download or read book Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition written by Serkan Kiranyaz and published by Springer Science & Business Media. This book was released on 2013-07-16 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach. After an introduction to the key optimization techniques, the authors introduce their unified framework and demonstrate its advantages in challenging application domains, focusing on the state of the art of multidimensional extensions such as global convergence in particle swarm optimization, dynamic data clustering, evolutionary neural networks, biomedical applications and personalized ECG classification, content-based image classification and retrieval, and evolutionary feature synthesis. The content is characterized by strong practical considerations, and the book is supported with fully documented source code for all applications presented, as well as many sample datasets. The book will be of benefit to researchers and practitioners working in the areas of machine intelligence, signal processing, pattern recognition, and data mining, or using principles from these areas in their application domains. It may also be used as a reference text for graduate courses on swarm optimization, data clustering and classification, content-based multimedia search, and biomedical signal processing applications.

Download or read book Proceedings of The International Conference on Inter Disciplinary Research in Engineering and Technology 2015 written by Kokula Krishna Hari Kunasekaran and published by Association of Scientists, Developers and Faculties (ASDF). This book was released on 2015-04-30 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the International Conference on Inter Disciplinary Research in Engineering and Technology (ICIDRET) 2015 in DSIIDC, Government of NCT, New Delhi, India, Asia on 29 – 30 April, 2015. If this is your first time to New Delhi, you need to look on more objects which you could never forget in your lifetime. There is much to see and experience at The National Capital of Republic of India. The concept of Inter Disciplinary research was a topic of focus by various departments across the Engineering and Technology area. Flushing with major areas, this ICIDRET ’15 has addressed the E&T areas like Mechanical Engineering, Civil Engineering, Electrical Engineering, Bio-Technology, Bio-Engineering, Bio-Medical, Computer Science, Electronics & Communication Engineering, Management and Textile Engineering. This focus has brought a new insight on the learning methodologies and the terminology of accepting the cross definition of engineering and the research into it. We invite you to join us in this inspiring conversation. I am pretty sure that this conference would indulge the information from the various parts of the world and could coin as a global research gathering. With more and more researchers coming into ICIDRET, this event would be as an annual event. This conference is sure that, this edition and the future edition will serve as a wise platform for the people to come with better research methodologies integrating each and every social component globally. If there would have been a thought of not integrating the RJ45 and few pieces of metal / plastic along with a PCB, today we could haven’t used the telephones and mobile phones. With an ear-mark inspiration and constant support from the Global President Dr. S. Prithiv Rajan, ASDF International President Dr. P. Anbuoli, this publication stands in front of your eyes, without them this would haven’t been possible in a very shortest span. Finally, I thank my family, friends, students and colleagues for their constant encouragement and support for making this type of conference. -- Kokula Krishna Hari K Editor-in-Chief www.kokulakrishnaharik.in