Multivariate Statistical Analysis in Neuroscience : Advanced Mathematical Modeling Applied to Electroencephalographic Signals in Complex Data Problems

Langue : anglais

Edité par GRIN Verlag, 2015

3656973768 / 9783656973768

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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. …

N° de réf. du vendeur 9783656973768

Titre
Multivariate Statistical Analysis in Neuroscience : Advanced Mathematical Modeling Applied to Electroencephalographic Signals in Complex Data Problems
Auteur
Marco Ivaldi
Éditeur
GRIN Verlag
Année de publication
2015
État de l'article
Neu
Reliure
Taschenbuch
Langue
anglais
ISBN à 10 chiffres
3656973768
ISBN à 13 chiffres
9783656973768
Poids de l'article
275 grammes
Dimensions
210x148x14 mm

AHA-BUCH GmbH

Einbeck, Allemagne

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 14 août 2006

Frais d'expédition de Allemagne vers Etats-Unis

Article30 à 40 jours ouvrés7 à 14 jours ouvrés
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