MATLAB® Primer for Speech Language Pathology and Audiology

Plural Publishing
Free sample

MATLAB® Primer for Speech-Language Pathology and Audiology provides training and access to MATLAB®, the computational language developed by MathWorks®. While there are MATLAB® textbooks and manuals written for the field of engineering, there are no textbooks targeting allied heath disciplines, particularly speech-language pathology and audiology. Research and practice in this field can greatly benefit from quantification and automation in data management, a domain that is increasingly labor-intensive. The text anticipates and promotes increased reliance on quantification and automation in the fields of speech-language pathology and audiology.

This book is intended for students, practitioners, and researchers in speech-language pathology and audiology who wish to increase their productivity by incorporating and automating common research procedures and data-analysis calculations, or who wish to develop new tools and methods for their own paradigms and data processing. It assumes no prior knowledge of programming, but requires the reader to have a grasp of basic computer skills, such as managing folders, moving files, and navigating file paths and folder structures. Content and style are chosen so as to lower the threshold for an audience who has limited training in computer science. Concepts are presented in a personalized writing style (almost a dialogue with the reader), along with a didactic format similar to programmed instruction, using applications and work assignments that are concrete and manageable.

Key features include:

* A comprehensive introduction for the user in an effort to limit background knowledge needed to understand the content
* Several mathematical review appendices
* Exercises for the student to apply skills learned in laboratory and clinical applications

Disclaimer: Please note that ancillary content (such documents, audio, and video) may not be included as published in the original print version of this book. 

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About the author

Frank R. Boutsen, PhD, CCC-SLP, is an associate professor in speech-language pathology in the Department of Communication Sciences and Disorders at the University of Oklahoma Health Sciences Center. He is the director of the Motor Speech and Prosody Research Laboratory. He holds a master’s degree in psychology and a doctorate in speech pathology. He was a post-doctoral fellow in medical speech pathology at Mayo Clinic, Rochester. He has published numerous papers on neurogenic speech disorders and prosody. 

Justin D. Dvorak, MS, is a doctoral candidate in the Department of Communication Sciences and Disorders at the University of Oklahoma Health Sciences Center. He also serves as a research consultant at the Motor Speech and Prosody Research Laboratory. He has presented at both the national and international levels on the computer automation of experimental paradigms and quantitative techniques for natural language and biosignal processing. His research interests include signal statistics and speech analysis.

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Additional Information

Publisher
Plural Publishing
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Published on
Nov 30, 2015
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Pages
232
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ISBN
9781597569491
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Language
English
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Genres
Computers / Computer Simulation
Computers / Mathematical & Statistical Software
Medical / Audiology & Speech Pathology
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Content Protection
This content is DRM protected.
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Available on Android devices
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Eligible for Family Library

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 Now in its third edition, Clinical Research Methods in Speech-Language Pathology and Audiology is a valuable and comprehensive resource for understanding and conducting clinical research in communication sciences and disorders.

Graduate students and practicing clinicians will benefit from the text's detailed coverage of various research topics. Specifically, readers will learn the strengths and weaknesses of different research methodologies, apply the results of research to clinical practice and decision-making, and understand the importance of research ethics.

Clinical Research Methods is the only text to take into account qualitative research and evidence-based practice, and to provide a detailed discussion of research ethics.

Key Features

Chapters begin with an outline of covered topics and learning objectivesEnd-of-chapter discussion questions apply concepts and incorporate real-life research situationsNumerous tables and charts display critical models and research procedures


New to the Third Edition

New co-authors, Mary Ellen Koay, PhD, CCC-SLP, FASHA, and Jennifer S. Whited, PhD, CCC-SLP, bring new and extensive research experiences to the team of authorsExpanded discussion of qualitative research methodsAdditional and updated examples of mixed method designs published in speech-language pathologyUpdated list of databases and sources for research in communication sciences and disordersUpdated references throughout, including many ASHA and AAA Codes of EthicsDisclaimer: Please note that ancillary content (such as documents, audio, and video, etc.) may not be included as published in the original print version of this book. 
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.

Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Learn the basics of 3D modeling for the popular Farming Simulator game

Do you want to get started with creating your own vehicles, maps, landscapes, and tools that you can use in the game and share with the Farming Simulator community? Then this is the resource for you! With the help of Jason van Gumster, you'll get up and running on everything you need to master 3D modeling and simulation—and have fun while doing it! Inside, you'll find out how to create and edit maps, start using the material panel, customize your mods by adding texture, use the correct file-naming conventions, test your mod in single and multiplayer modes, get a grip on using Vehicle XML, and so much more.

There's no denying that Farming Simulator players love modding—and now there's a trusted, friendly resource to help you take your modding skills to the next level and get even more out of your game. Written in plain English and packed with tons of step-by-step explanations, Farming Simulator Modding For Dummies is a great way to learn the ropes of 3D modeling with the tools available to you in the game. In no time, you'll be wowing your fellow gamesters—and yourself—with custom, kick-butt mods. So what are you waiting for?

Includes an easy-to-follow introduction to using the GIANTS 3D modeling tools Explains how to export models to Blender, Maya, 3DS Max, or FBX Provides tips for using the correct image format for textures Details how to use Photoshop and Audacity to create custom mods for Farming Simulator

Whether you're one of the legions of rabid fans of the popular Farming Simulator game or just someone who wants to learn the basics of 3D modeling and animation, you'll find everything you need in this handy guide.

 Covering an array of evidence-based content, including aphasia, traumatic brain injury, dementia, and language in aging, Aphasia and Other Acquired Neurogenic Language Disorders: A Guide for Clinical Excellence is a must-have textbook for clinicians and students studying to be speech-language pathologists. This clinical guide strategically addresses scientific foundations, service delivery, international and multicultural perspectives, assessment, and treatment.

Organized to maximize adult learning, the book is adaptable for multiple pedagogic methods for classroom-based courses, independent study, and online learning.Aphasia and Other Acquired Neurogenic Language Disorders: A Guide for Clinical Excellence provides clinicians and students a clear pathway for quality and effectiveness in clinical practice.

Key features include:

* A rigorous approach to the art and science of clinical practice, integrating diverse theoretical perspectives for a global readership
* Guidance on advocacy, ethics, reimbursement, legal aspects, and counseling
* An emphasis on person-centered, empowering approaches to maximize life participation
* Extensive assessment resources and a process analysis approach for analyzing communicative performance and interpreting assessment results
* How-to content on more than 50 intervention approaches
* Diagrams, charts, illustrations, summary tables, a substantial glossary, a detailed index, and rich up-to-date references
* Systematic queries that enliven clear learning objectives


Pedagogy includes:

* Extensive assessment resources and a process analysis approach for analyzing communicative performance and interpreting assessment results
* Clear and concise clinical examples to ensure relevance of information based on realistic scenarios
* Systematic queries that enliven clear learning objectives
* Diagrams, charts, illustrations, summary tables, a substantial glossary, a detailed index, and rich up-to-date references
* Key terms in bold within the chapter and listed in a glossary

Disclaimer: Please note that ancillary content (such as documents, audio, and video, etc.) may not be included as published in the original print version of this book. 

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