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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection
A Book

by Sandeep Kumar Satapathy,Satchidananda Dehuri,Alok Kumar Jagadev,Shruti Mishra

  • Publisher : Academic Press
  • Release : 2019-02-10
  • Pages : 134
  • ISBN : 0128174277
  • Language : En, Es, Fr & De
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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification. Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizures Encompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchers Provides a number of experimental analyses, with their results discussed and appropriately validated

Brain Seizure Detection and Classification Using Electroencephalographic Signals

Brain Seizure Detection and Classification Using Electroencephalographic Signals
A Book

by Varsha K. Harpale,Vinayak Bairagi

  • Publisher : Academic Press
  • Release : 2021-07-15
  • Pages : 232
  • ISBN : 9780323911207
  • Language : En, Es, Fr & De
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Electroencephalogram (EEG) remains the most immediate, simple, and rich source of information for understanding phenomena related to brain electrical activities. The objective of the book is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance. The seizures are predominantly characterized by unpredictable interruptions of normal brain function. A seizure occurs when too many nerve cells in the brain "fire” too quickly causing an "electrical storm.” The EEG signals recorded from epileptic patients are analyzed for monitoring extracting behavior of signals during onset seizures. Epileptic seizure detection still poses challenges in the field of accurate seizure detection and prediction of seizures. Mostly these techniques are analyzed on the basis of detection and classification accuracy, sensitivity and specificity. Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The Time and Frequency Domain (TFD), Wavelet Transform (WT) and Empirical Mode Decomposition (EMD) are optimized feature extraction methods presented by the authors. The book also covers the feature selection method based on One-way ANOVA along with high performance machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system will be compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The machine learning classifiers are used for classification of EEG signal in normal, epileptic seizure, non-epileptic seizure, and thus non-epileptic patients. One of the major new contributions of the book is identification of non-epileptic patients using SSEWT. Presents EEG signal processing and analysis with high performance feature extraction Discusses recent trends in seizure detection, prediction and classification methodologies Classification of epileptic and non-epileptic seizures is still a demanding issue, and misdiagnosing NES leads to the unnecessary use of antiepileptic medication, which can worsen NES and affect learning or working ability The authors present new guidance and technical discussion in these areas Presents a variety of feature-extraction methods, including Time and Frequency Domain (TFD), Wavelet Transform (WT), Empirical Mode Decomposition (EMD), and feature selection methods based on One-way ANOVA along with high performance machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals. Presents new methods of feature extraction developed by the authors, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and NonEpileptic Seizures (NES)

KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis

KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis
A Book

by Harikumar Rajaguru,Sunil Kumar Prabhakar

  • Publisher : Anchor Academic Publishing
  • Release : 2017-05
  • Pages : 56
  • ISBN : 3960671407
  • Language : En, Es, Fr & De
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Epilepsy is a chronic disorder, the hallmark of which is recurrent, unprovoked seizures. Many people with epilepsy have more than one type of seizures and may have other symptoms of neurological problems as well. Epilepsy is caused due to sudden recurrent firing of the neurons in the brain. The symptoms are convulsions, dizziness and confusion. One out of every hundred persons experiences a seizure at some time in their lives. It may be confused with other events like strokes or migraines. Unfortunately, the occurrence of an epileptic seizure seems unpredictable and its process still is hardly understood. In India, the number of persons suffering from epilepsy is increasing every year. The complexity involved in the diagnosis and therapy has to be cost effective. In this project, the authors applied an algorithm which is used for a classification of the risk level of epilepsy in epileptic patients from Electroencephalogram (EEG) signals. Dimensionality reduction is done on the EEG dataset by applying Power Spectral density. The KNN Classifier and K-Means clustering is implemented on these spectral values to epilepsy risk level detection. The Performance Index (PI) and Quality Value (QV) are calculated for the above methods. A group of twenty patients with known epilepsy findings are used in this study.

Cumulated Index Medicus

Cumulated Index Medicus
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1999
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Databases Theory and Applications

Databases Theory and Applications
27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28-29, 2016, Proceedings

by Muhammad Aamir Cheema,Wenjie Zhang,Lijun Chang

  • Publisher : Springer
  • Release : 2016-09-20
  • Pages : 486
  • ISBN : 3319469223
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 27th Australasian Database Conference, ADC 2016, held in Sydney, NSW, Australia, in September 2016. The 33 full papers presented together with 11 demo papers were carefully reviewed and selected from 55 submissions. The mission of ADC is to share novel research solutions to problems of today’s information society that fulfill the needs of heterogeneous applications and environments and to identify new issues and directions for future research. The topics of the presented papers are related to all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences.

Intelligent Internet of Things

Intelligent Internet of Things
From Device to Fog and Cloud

by Farshad Firouzi,Krishnendu Chakrabarty,Sani Nassif

  • Publisher : Springer Nature
  • Release : 2020-01-21
  • Pages : 647
  • ISBN : 3030303675
  • Language : En, Es, Fr & De
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This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.

Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011
A Book

by Kusum Deep,Atulya Nagar,Millie Pant,Jagdish Chand Bansal

  • Publisher : Springer Science & Business Media
  • Release : 2012-04-13
  • Pages : 1059
  • ISBN : 8132204913
  • Language : En, Es, Fr & De
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The objective is to provide the latest developments in the area of soft computing. These are the cutting edge technologies that have immense application in various fields. All the papers will undergo the peer review process to maintain the quality of work.

EEG Signal Processing

EEG Signal Processing
A Book

by Saeid Sanei,Jonathon A. Chambers

  • Publisher : John Wiley & Sons
  • Release : 2013-05-28
  • Pages : 312
  • ISBN : 1118691237
  • Language : En, Es, Fr & De
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Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.

Epilepsy Abstracts

Epilepsy Abstracts
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1987
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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EEG/ERP Analysis

EEG/ERP Analysis
Methods and Applications

by Kamel Nidal,Aamir Saeed Malik

  • Publisher : CRC Press
  • Release : 2014-10-23
  • Pages : 334
  • ISBN : 1482224712
  • Language : En, Es, Fr & De
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Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and other monitoring systems used in preventive diagnostic procedures incorporate innovative features for brain monitoring functions such as real-time automated signal processing techniques and sophisticated amplifiers. Highlighting the US, Europe, Australia, New Zealand, Japan, Korea, China, and many other areas, EEG/ERP Analysis: Methods and Applications examines how researchers from various disciplines have started to work in the field of brain science, and explains the different techniques used for processing EEG/ERP data. Engineers can learn more about the clinical applications, while clinicians and biomedical scientists can familiarize themselves with the technical aspects and theoretical approaches. This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and presents the neurological aspects in a simplified way so that those with an engineering background can better design clinical instruments. It consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and quantitative EEG. In addition, some of the chapters are contributed by neurologists and neurosurgeons providing the clinical aspects of EEG/ERP analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines new applications related to 3D display devices Includes MATLAB® codes EEG/ERP Analysis: Methods and Applications is a resource for biomedical and neuroscience scientists who are working on neural signal processing and interpretation, and biomedical engineers who are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and postgraduate students doing research in neural engineering, as well as electronic engineers in neural signal processing and instrumentation.

Indexes to the Epilepsy Accessions of the Epilepsy Information System: 40001-50000

Indexes to the Epilepsy Accessions of the Epilepsy Information System: 40001-50000
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1982
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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"Most of the current scientific literature on the subject, as well as much of the pertinent past literature." Worldwide coverage. Includes monographic and serial literature. Classified arrangement. Each entry gives bibliographical information and classification codes.

EMBC 2004

EMBC 2004
26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : Conference Proceedings : Linkages for Innovation in Biomedicine : 1-5 September, 2004, San Francisco, California

by IEEE Engineering in Medicine and Biology Society. Conference,IEEE Engineering in Medicine and Biology Society

  • Publisher : IEEE Computer Society Press
  • Release : 2004
  • Pages : 5459
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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"IEEE Catalog Number: 04CH37558"--T.p. verso.

Computational Vision and Bio-Inspired Computing

Computational Vision and Bio-Inspired Computing
ICCVBIC 2019

by S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu

  • Publisher : Springer Nature
  • Release : 2020-01-06
  • Pages : 1413
  • ISBN : 3030372189
  • Language : En, Es, Fr & De
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This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Excerpta Medica

Excerpta Medica
Neurology and neurosurgery

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1991
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Monthly. References and abstracts to international journal literature. Topical arrangement of entries. Subject, author indexes

The Metabolic & Molecular Bases of Inherited Disease

The Metabolic & Molecular Bases of Inherited Disease
A Book

by Charles R. Scriver

  • Publisher : New York ; Montreal : McGraw-Hill
  • Release : 2001
  • Pages : 6338
  • ISBN : 9780071363228
  • Language : En, Es, Fr & De
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Presents clinical, biochemical, and genetic information concerning those metabolic anomalies grouped under inborn errors of metabolism.

Automated Epileptic Seizure Onset Detection

Automated Epileptic Seizure Onset Detection
A Book

by Arvind Dorai

  • Publisher : Unknown Publisher
  • Release : 2009
  • Pages : 96
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures due to abnormal or excessive neuronal activity in the brain. An estimated 50 million people around the world suffer from this condition, and it is classified as the second most serious neurological disease known to humanity, after stroke. With early and accurate detection of seizures, doctors can gain valuable time to administer medications and other such anti-seizure countermeasures to help reduce the damaging effects of this crippling disorder. The time-varying dynamics and high inter-individual variability make early prediction of a seizure state a challenging task. Many studies have shown that EEG signals do have valuable information that, if correctly analyzed, could help in the prediction of seizures in epileptic patients before their occurrence. Several mathematical transforms have been analyzed for its correlation with seizure onset prediction and a series of experiments were done to certify their strengths. New algorithms are presented to help clarify, monitor, and cross-validate the classification of EEG signals to predict the ictal (i.e. seizure) states, specifically the preictal, interictal, and postictal states in the brain. These new methods show promising results in detecting the presence of a preictal phase prior to the ictal state.

Early Detection of Neurological Disorders Using Machine Learning Systems

Early Detection of Neurological Disorders Using Machine Learning Systems
A Book

by Paul, Sudip,Bhattacharya, Pallab,Bit, Arindam

  • Publisher : IGI Global
  • Release : 2019-06-28
  • Pages : 376
  • ISBN : 1522585680
  • Language : En, Es, Fr & De
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While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

Techniques in Clinical Neurophysiology

Techniques in Clinical Neurophysiology
A Practical Manual

by Ray Cooper (BSc, PhD.),C. D. Binnie,Richard Billings (PhD, MSc.)

  • Publisher : Churchill Livingstone
  • Release : 2005
  • Pages : 428
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Offers a complete exploration of clinical techniques associated with the neurosciences, building from a strong foundation in neuroanatomy and neurophysiology. Straightforward discussions explain exactly how to undertake appropriate neurophysiological investigations. Both biological and electrical scientific principles are addressed, as well as recording techniques, electrical potentials in normal subjects, and ways in which these are disturbed by physical factors or disease. Well-referenced sections reflect clinical applications through discussions of nerve conduction studies, electromyography, evoked potentials, EEG and EEG analysis, monitoring of epilepsy for surgery, recording in the neonatal and pediatric patient, monitoring during surgery and intensive care, sleep studies, and magnetoencephalography. Content addresses the uses, limitations, advantages, calibration, etc. of digital instruments.

The Lippincott Manual of Nursing Practice

The Lippincott Manual of Nursing Practice
A Book

by Doris Smith Suddarth

  • Publisher : Lippincott Williams & Wilkins
  • Release : 1991
  • Pages : 1607
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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This practical guide for the nursing student and practicing nurses contains more than 120 common procedural guidelines with rational and step-by-step descriptions.

Excerpta medica. Section 22: Human genetics

Excerpta medica. Section 22: Human genetics
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1979
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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