Published by Elsevier (edition 1), 2017
ISBN 10: 0128032790 ISBN 13: 9780128032794
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1482256576 ISBN 13: 9781482256574
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1482256576 ISBN 13: 9781482256574
Language: English
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Published by Chapman and Hall/CRC 2019-05-16, 2019
ISBN 10: 1482256576 ISBN 13: 9781482256574
Language: English
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1482256576 ISBN 13: 9781482256574
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1482256576 ISBN 13: 9781482256574
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (postgraduate) from the year 2015 in the subject Medicine - Other, grade: II Level Master, University of Pavia (Unit of Medical and Genomic Statistics), course: Medical and Genomic Statistics, language: English, abstract: Electroencephalography, commonly called 'EEG', estimates through the application of electrodes, the electrical activity of the brain (which is the sum of the electrical activity of each neuron). In recent years, with the goal of making more reliable the EEG, many researchers have turned their interest in the development of tools, methods and software. This thesis describes some best procedures for the experimental design, data visualization and descriptive or inferential statistical analysis. The application of statistical models to single or multiple subjects study-design are also described, including parametric and non-parametric approaches. Methods for processing multivariate data (PCA, ICA, clustering) were described. Re-sampling methods (bootstrap) using many randomly software-generated samples were also described. The aim of this work is to provide, with statistical concepts and examples, information on the qualitative and quantitative approaches related to the electroencephalographic signals. The work consists into three parts: INTRODUTION TO ELECTROENCEPHALOGRAPHY (GENERAL CHARACTERISTICS); DATA MINING AND STATISTICAL ANALYSIS; EXPERIMENTAL STUDY DESIGNS. The six works included in the section called 'EXPERIMENTAL STUDY DESIGNS' analyze EEG alterations in the protocols: Electrocortical activity in dancers and non-dancers listening to different music genre and during imaginative dance motor activity; Electrocortical activity during monosynaptic reflex in athletes; Monitoring of electrocortical activity for evaluation of seasickness; Electrocortical activity in different body positions; Electrocortical activity in athletes and non-athletes during body balance tasks; Electrocortical responses in volunteers with and without specific experience watching movies including the execution of complex motor gestures. In the section called 'OTHER INTERESTING THINGS' were included one work that analyze EMG (electromyography) alterations in pathological and healthy subjects in the protocol: Comparison between clinical diagnostic criteria of sleep bruxism and those provided by a validated portable holter. The described procedures can be used for clinical trials, although the studies proposed in this work do not refer to samples from pathological subjects. With its multi-specialist approach, through many theoretical and practical feedback, this work will be useful for specializing in neuroscience, statistics, engineering or physiology.
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Add to baskethardcover. Condition: Befriedigend. 440 Seiten; 9780470090435.4 Gewicht in Gramm: 1.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1482256576 ISBN 13: 9781482256574
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Add to basketTaschenbuch. Condition: Neu. Multivariate Statistical Analysis in Neuroscience | Advanced Mathematical Modeling Applied to Electroencephalographic Signals in Complex Data Problems | Marco Ivaldi (u. a.) | Taschenbuch | 184 S. | Englisch | 2015 | GRIN Verlag | EAN 9783656973768 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Add to basketHardcover. Condition: new. Hardcover. This reprint comprises a compilation of 15 insightful research papers published in the Special Issue "Applied Statistical Modeling and Data Mining" within the Mathematics journal. Spanning multiple domains at the intersection of statistics, machine learning, and real-world applications, the collection presents diverse perspectives and innovative approaches in the field of applied statistical modeling and data mining. These selected papers explore diverse and important topics, including predictive modeling in healthcare, cybersecurity in transportation systems, data quality assessment, emergency call modeling, and innovative crime prevention strategies, among others. By covering a wide spectrum of subjects, this reprint serves as a valuable resource for researchers, academics, and practitioners interested in addressing contemporary challenges across diverse domains through statistical modeling, data mining, and machine learning applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1482256576 ISBN 13: 9781482256574
Language: English
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Published by Elsevier Science Publishing Co Inc, 2017
ISBN 10: 0128032790 ISBN 13: 9780128032794
Language: English
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 571.
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Published by Elsevier Science Ltd, 2017
ISBN 10: 0128032790 ISBN 13: 9780128032794
Language: English
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Add to basketPaperback. Condition: Brand New. 250 pages. 8.75x7.25x0.50 inches. In Stock.
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