Algorithms for Real-time ECG Compression and Analysis PDF Download
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Author: Patrick Stewart Hamilton
Publisher:
ISBN:
Category :
Languages : en
Pages : 402
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Book Description
Author: Patrick Stewart Hamilton
Publisher:
ISBN:
Category :
Languages : en
Pages : 402
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Book Description
Author: Siddhartha Bhattacharyya
Publisher:
ISBN: 9789811088643
Category : Image processing
Languages : en
Pages :
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Book Description
This book contains interesting findings of some state-of-the-art research in the field of signal and image processing. It contains twenty one chapters covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. Various types of signals including image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals, MRI, PET and CT scan images, THz signals, solar wind speed signals (SWS) and photoplethysmogram (PPG) signals have been dealt with. It demonstrates how new paradigms of intelligent computing like quantum computing can be applied to process and analyze signals in a most precise and effective manner. Processing of high precision signals for real time target recognition by radar and processing of brain images, ECG and EMG signals that feature in this book have significant implications in defense mechanism and medical diagnosis. There are also applications of hybrid methods, algorithms and image filters which are proving to be better than the individual techniques or algorithms. Thus the present volume, enriched in depth and variety of techniques and algorithms concerning processing of various types of signals, is likely to be used as a compact yet handy reference for the young researchers, academicians and scientists working in the domain of signal and image processing and also to the post graduate students of computer science and information technology.
Author: Tatiparti Padma
Publisher: GRIN Verlag
ISBN: 3346640035
Category : Medical
Languages : en
Pages : 174
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Book Description
Doctoral Thesis / Dissertation from the year 2014 in the subject Medicine - Biomedical Engineering, grade: A, , course: PhD, language: English, abstract: The main purpose of the present work is to design and implement a prototype ECG system with wireless links for continuous monitoring of the subject for cardiac related problems. The ECG signal acquired from subject is filtered, digitized, and compressed for wireless communication. The proposed system can be extended, upon interfacing with other devices, for continuous monitoring of other vital parameters of the patient. In automation of the ECG signal analysis, the workload of the medical professionals can be reduced. The automated system provides an alert when critical changes are detected by the system. Concisely stated, ECG of the patient is continuously monitored and deviations from normalcy are detected in real-time. The changes in the ECG could be due to heart attack, fibrillation or arrhythmias. In case of emergency, data is transmitted to a medical practitioner, who in turn can provide necessary directions to take care of the situation. In this manner, as the problems can be detected as and when they occur, the remedial actions are initiated before the problems become serious. The complete ECG diagnostic system includes a low power Instrumentation amplifier, filters, ADC, Microcontroller and ZIGBEE modules. MATLAB / LABVIEW are used for signal analysis and classification. These environments are capable of not only collecting, recording, transmitting, and displaying ECG data on a real time basis but also for analyzing the acquired ECG data in order to detect the cardiac abnormalities. The MIT-BIH database signals were used for validation and evaluation of classification algorithms. In order to reduce the memory requirements for storing the acquired ECG signals, ECG data was compressed. Discrete Cosine Transform (DCT) technique was applied for ECG data compression. Here DCT showed good performance with a Compression Ratio (CR) of 82-90.43% and Percent Root Mean Difference (PRD) of 7.9-0.93. Linear Vector Quantization method (LVQ) is used for identifying the abnormalities associated with the ECG signal. After training the LVQ process with a reasonable number of samples, the algorithm is used for classifying ECG signals. The techniques used in the present work for ECG signal compression and classification gave better results compared to those found in the literature.
Author: Rajarshi Gupta
Publisher: Springer Science & Business Media
ISBN: 8132215575
Category : Technology & Engineering
Languages : en
Pages : 145
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Book Description
The book is focused on the area of remote processing of ECG in the context of telecardiology, an emerging area in the field of Biomedical Engineering Application. Considering the poor infrastructure and inadequate numbers of physicians in rural healthcare clinics in India and other developing nations, telemedicine services assume special importance. Telecardiology, a specialized area of telemedicine, is taken up in this book considering the importance of cardiac diseases, which is prevalent in the population under discussion. The main focus of this book is to discuss different aspects of ECG acquisition, its remote transmission and computerized ECG signal analysis for feature extraction. It also discusses ECG compression and application of standalone embedded systems, to develop a cost effective solution of a telecardiology system.
Author: Srija Unnikrishnan
Publisher: Springer Science & Business Media
ISBN: 3642184391
Category : Computers
Languages : en
Pages : 554
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Book Description
This book constitutes the refereed proceedings of the International Conference on Advances in Computing Communications and Control, ICAC3 2011, held in Mumbai, India, in January 2011. The 84 revised full papers presented were carefully reviewed and selected from 309 submissions. The papers address issues such as AI, artificial neural networks, computer graphics, data warehousing and mining, distributed computing, geo information and statistical computing, learning algorithms, system security, virtual reality, cloud computing, service oriented architecture, semantic web, coding techniques, modeling and simulation of communication systems, network architecture, network protocols, optical fiber/microwave communication, satellite communication, speech/image processing, wired and wireless communication, cooperative control, and nonlinear control, process control and instrumentation, industrial automation, controls in aerospace, robotics, and power systems.
Author: Hamza Baali
Publisher:
ISBN:
Category :
Languages : en
Pages : 300
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Book Description
Though various techniques have been suggested for the analysis of ECG signals, interpretation of these signals, especially as they affect human health, has posed some difficulties. Consequently, the best way of interpreting these physiological signals by electric measurements from the body surface in terms of cardiac electric activity remains an active research topic till today. This research tackles three problems related to ECG analysis namely, parametric modeling, period normalization (interpolation) and classification of arrhythmias. In order to model the signal, each heartbeat is first mapped into a new domain where the transform coefficients vector would be sparse. The coefficients vector is then approximated to a sum of damped sinusoids. The transform matrix is generated based on the combination of linear prediction (LP) and the singular values decomposition (SVD) of the LPC filter impulse response matrix. This approach leads to relatively satisfactory compression ratio (CR) as compared to existing techniques. Though parametric modeling of ECG signals has a central role in real time transmission and classification of heart abnormalities (arrhythmias), the compression ratios achieved are not suitable for storage purpose. Therefore, 2D ECG compression schemes are adopted where the beats of differing periods should be equalized to the same period length and then arranged in an image matrix before the application of image compression algorithm. Limitations of the existing techniques for ECG period equalization are highlighted and a new frequency domain approach for period normalization has been developed. The proposed approach is signal dependent and able to adapt to the signal characteristics. An analytical model to generate basis functions has also been developed. The merits of the proposed technique are appreciated when compared to other techniques commonly used in the literature. Finally, an algorithm for arrhythmia classification that conforms to the recommended practice of the Association for the Advancement of Medical Instrumentation (AAMI) is presented. Three inter-patient classification scenarios have been considered namely, detection of ventricular ectopic beats (VEBs), detection of supraventricular ectopic beats (SVEBs) and the multiclass recommended taxonomy.A novel set of features extraction via the application of orthogonal transformation of the ECG signal has been developed. These features in conjunction with some commonly used features are fed into the Regularized Least Squares Classifier (RLSC) with linear kernel. The proposed classification scheme shows good separation capability between the classes of ECG arrhythmias as it has achieved a Balanced Classification Rate (BCR) of 83.9 % for the multiclass scenario which is comparable to the state-of-the-art performance of automatic arrhythmia classification algorithms.
Author: Chengyu Liu
Publisher: Springer Nature
ISBN: 9811538247
Category : Medical
Languages : en
Pages : 264
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Book Description
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: Arpan Deyasi
Publisher: CRC Press
ISBN: 1498784615
Category : Computers
Languages : en
Pages : 355
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Book Description
Computational Science and Engineering contains peer-reviewed research presented at the International Conference on Computational Science and Engineering (RCC Institute of Information Technology, Kolkata, India, 4-6 October 2016). The contributions cover a wide range of topics: - electronic devices - photonics - electromagnetics - soft computing - artificial intelligence - modern communication systems Focussing on strong theoretical and methodological approaches and applications, Computational Science and Engineering will be of interest to academia and professionals involved or interested in the above mentioned domains.
Author: Wickramasinghe, Nilmini
Publisher: IGI Global
ISBN: 1599048906
Category : Computers
Languages : en
Pages : 1566
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Book Description
Healthcare, a vital industry that touches most of us in our lives, faces major challenges in demographics, technology, and finance. Longer life expectancy and an aging population, technological advancements that keep people younger and healthier, and financial issues area constant strain on healthcare organizations' resources and management. Focusing on the organization's ability to improve access, quality, and value of care to the patient may present possible solutions to these challenges. The Encyclopedia of Healthcare Information Systems provides an extensive and rich compilation of international research, discussing the use, adoption, design, and diffusion of information communication technologies (ICTs) in healthcare, including the role of ICTs in the future of healthcare delivery; access, quality, and value of healthcare; nature and evaluation of medical technologies; ethics and social implications; and medical information management.
Author: Leif Sörnmo
Publisher: Academic Press
ISBN: 0124375529
Category : Medical
Languages : en
Pages : 690
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Book Description
The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal processing techniques have helped to uncover valuable information for improved diagnosis and therapy. This book takes a unique problem-driven approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications-the two "heavyweight" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues with related methodological considerations. Bioelectrical Signal Processing is suitable for a final year undergraduate or graduate course as well as for use as an authoritative reference for practicing engineers, physicians, and researchers. A problem-driven, interdisciplinary presentation of biomedical signal processing Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked potentials, EMG) Covers both classical and recent signal processing techniques Emphasis on model-based statistical signal processing Comprehensive exercises and illustrations Extensive bibliography
