Feature Engineering And Computational Intelligence In Ecg Monitoring

Author : Chengyu Liu
Publisher : Springer Nature
ISBN 13 : 9811538247
Total Pages : 264 pages
Book Rating : 4.47/5 ( download)

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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.

Author : Adam Gacek
Publisher : Springer Science & Business Media
ISBN 13 : 0857298682
Total Pages : 283 pages
Book Rating : 4.83/5 ( download)

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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.

Author : Rezaul Begg
Publisher : CRC Press
ISBN 13 : 1420005898
Total Pages : 396 pages
Book Rating : 4.99/5 ( download)

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Download or read book Computational Intelligence in Biomedical Engineering written by Rezaul Begg and published by CRC Press. This book was released on 2007-12-04 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-

Author : Chang Yan
Publisher : Frontiers Media SA
ISBN 13 : 2832540082
Total Pages : 127 pages
Book Rating : 4.84/5 ( download)

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Download or read book Smart Wearable Devices in Healthcare—Methodologies, Applications, and Algorithms written by Chang Yan and published by Frontiers Media SA. This book was released on 2023-12-14 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wearable health devices have been an emerging technology that enables an ambulatory acquisition of physiological signals to monitor health status over a long time (hours/days/weeks/years) inside and outside clinical environments. Big data and deep learning, in particular, are receiving a lot of attention in this rapidly growing digital health community. A key benefit of deep learning is to analyze and learn massive amounts of data, which makes it especially valuable in healthcare since raw data is largely gathered from personalized wearable health devices. A wide range of users may benefit from unobstructed and even remote monitoring of pertinent or vital signs, which makes it easier to detect life-threatening diseases early, track the progression of pathologies and stress levels, evaluate the efficacy of therapies, provide low-cost and reliable diagnoses, etc. Today’s personal health devices have provided an amazing insight into people’s health and wellness, which allow clinicians to use these smart wearables to collect and analyze measuring data like electroencephalogram (EEG), electrocardiogram (ECG or EKG), respiration, heart rate, temperature level, blood oxygen, and blood pressure for health monitoring or clinical trials. This Research Topic mainly focuses on the technical revolution in wearable health systems, which aims to design more smart and useful wearables, contributing to a substantial change in the methodologies, applications, and algorithms of machine learning for wearable health devices. With the help of deep learning and sensor fusion capabilities from wearable health platforms, this data will be used more effectively, which can help to construct smart, novel, specific solutions to improve the quality of healthcare and capabilities of utilizing new deep learning technologies.

Author : P. Karthikeyan
Publisher : CRC Press
ISBN 13 : 1000930637
Total Pages : 213 pages
Book Rating : 4.34/5 ( download)

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Download or read book Healthcare Industry 4.0 written by P. Karthikeyan and published by CRC Press. This book was released on 2023-08-28 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring. Features: Provides a state-of-the-art computer vision application in the digital health care industry Reviews advances in computer vision and data science technologies for analyzing information on human function and disability Includes practical implementation of computer vision application using recent tools and software Explores computer vision-enabled medical/clinical data security in the cloud Includes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and Google This book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

Author : Rajshree Srivastava
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110648199
Total Pages : 346 pages
Book Rating : 4.95/5 ( download)

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Download or read book Computational Intelligence for Machine Learning and Healthcare Informatics written by Rajshree Srivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-22 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Author : José Ruiz-Shulcloper
Publisher : Springer
ISBN 13 : 3642418279
Total Pages : 600 pages
Book Rating : 4.73/5 ( download)

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Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by José Ruiz-Shulcloper and published by Springer. This book was released on 2013-11-04 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013. The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.

Author : Lisheng Xu
Publisher : Frontiers Media SA
ISBN 13 : 2832542190
Total Pages : 215 pages
Book Rating : 4.94/5 ( download)

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Download or read book AI empowered cerebrocardiovascular health engineering written by Lisheng Xu and published by Frontiers Media SA. This book was released on 2024-01-02 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Jieyun Bai
Publisher : Frontiers Media SA
ISBN 13 : 2832533876
Total Pages : 379 pages
Book Rating : 4.71/5 ( download)

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Download or read book Diagnosis, Monitoring, and Treatment of Heart Rhythm: New Insights and Novel Computational Methods written by Jieyun Bai and published by Frontiers Media SA. This book was released on 2023-09-13 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Adam Gacek
Publisher : Springer
ISBN 13 : 9780857298690
Total Pages : 278 pages
Book Rating : 4.90/5 ( download)

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Download or read book ECG Signal Processing, Classification and Interpretation written by Adam Gacek and published by Springer. This book was released on 2013-01-02 with total page 278 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.