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Designing Eeg Experiments For Studying The Brain

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Designing EEG Experiments for Studying the Brain

Designing EEG Experiments for Studying the Brain Book
Author : Aamir Saeed Malik,Hafeez Ullah Amin
Publisher : Academic Press
Release : 2017-05-25
ISBN : 0128111410
Language : En, Es, Fr & De

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Book Description :

Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those who are excited about neuroscience and want to explore various applications related to the brain. The first chapter describes how to design an EEG experiment and details the various parameters that should be considered for success, while remaining chapters provide experiment design for a number of neurological applications, both clinical and behavioral. As each chapter is accompanied with experiment design codes and example datasets, those interested can quickly design their own experiments or use the current design for their own purposes. Helpful appendices provide various forms for one’s experiment including recruitment forms, feedback forms, ethics forms, and recommendations for related hardware equipment and software for data acquisition, processing, and analysis. Written to assist neuroscientists in experiment designs using EEG Presents a step-by-step approach to designing both clinical and behavioral EEG experiments Includes experiment design codes and example datasets Provides inclusion and exclusion criteria to help correctly identify experiment subjects and the minimum number of samples Includes appendices that provide recruitment forms, ethics forms, and various subjective tests associated with each of the chapters

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection Book
Author : Sandeep Kumar Satapathy,Satchidananda Dehuri,Alok Kumar Jagadev,Shruti Mishra
Publisher : Academic Press
Release : 2019-02-10
ISBN : 0128174277
Language : En, Es, Fr & De

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Book Description :

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

The Routledge Companion to Marketing Research

The Routledge Companion to Marketing Research Book
Author : Len Tiu Wright,Luiz Moutinho,Merlin Stone,Richard P. Bagozzi
Publisher : Routledge
Release : 2021-06-28
ISBN : 1134826869
Language : En, Es, Fr & De

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Book Description :

This single-volume reference provides an alternative to traditional marketing research methods handbooks, focusing entirely on the new and innovative methods and technologies that are transforming marketing research and practice. Including original contributions and case studies from leading global specialists, this handbook covers many pioneering methods, such as: Methods for the analysis of user- and customer-generated data, including opinion mining and sentiment analysis Big data Neuroscientific techniques and physiological measures Voice prints Human–computer interaction Emerging approaches such as shadowing, netnographies and ethnographies Transcending the old divisions between qualitative and quantitative research methods, this book is an essential tool for market researchers in academia and practice.

To Investigate Power of Brain Activity Using EEG Comparison Between Creative and Non creative Design Task

To Investigate Power of Brain Activity Using EEG Comparison Between Creative and Non creative Design Task Book
Author : Dalvir Singh
Publisher : Unknown
Release : 2017
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

In recent times, neurophysiological measurement methods such as EEG and fMRI are widely used in an Engineering field to study designer's brain activity during creative thinking. In literature, many researchers reported the synchronization and desynchronization of EEG activity in specific brain cortex during creative thinking. However, we do not find many studies associated to comparison of designer's brain activity during creativity/non-creativity related task demands. The chief objective of present thesis is to investigate the power of brain activity using EEG comparison between creative and non-creative design task. For psychometric measures of creative thinking, Torrance Test of Creative Thinking (TTCT) (Torrance, 1966) is widely used. In present thesis, we use modified TTCT according to our experiment requirement. The test was decomposed between creative and non-creative design task. In creative design task, designers were instructed to think creatively whereas in non-creative design task they were required to think intuitively. When designers were performing these design tasks, their EEG recordings were obtained to investigate brain activity during design tasks. The EEG powers are calculated through spectral analysis. We aggregate electrode positions to identify distribution of EEG powers among brain regions during cognitive task performance. In order to compare EEG between creative and non-creative design task using cortical area to area approach, we perform repeated measure ANOVA for within-subject factors such as design task and brain areas. However, we found non-significant interaction effect between creative/non-creative design task and cortical areas.

User Preference Extraction from Bio Signals

User Preference Extraction from Bio Signals Book
Author : Golam Mohammad Moshiuddin Aurup
Publisher : Unknown
Release : 2011
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

The purpose of this study is to extract user preferences about a product from emotional responses. Literature on psychology reveals that human preferences are related to their emotions. In addition, literature on emotion recognition reveals that emotion can be extracted from physiological signals like the heart rate, skin conductance, brain signal etc. In this study, these two streams were brought together and a new approach was proposed to extract preference of users through the analysis of emotional responses from physiological signals. Brain signal (electroencephalography or EEG) was chosen in this regard for its relevance in emotion recognition literature. For the experimental study, Thought Technology's biofeedback system was used in order to capture and process the users' EEG signals while users are exposed to various images where each image represents a possible feature of a product. Experiments were performed in two phases. In the first phase, proposed method, hardware setting, and the hypothesis relating user preference and EEG values were tested on an image library. In the second phase, images relating to a product (automobile in our case) design or features were used to get preferences between competing products. In the first phase, International Affective Picture System (IAPS) library images were used to develop experiments. This library provides a large database for emotion affecting images and is widely accepted in the emotion detection literature. Three participants and three two-image sets were used in this study. The relationship between preference and extracted values were established through graph plot and trend line analysis and effects of repetition of experiments or images were identified. Results supported that analysis of EEG signals can distinguish pleasant and unpleasant feeling about images. A maximum of 80% accuracy was obtained in establishing relationship between preference and signal values. Left frontal side of the brain provided with the best results and was utilized in the rest of the study. Possibility to use different frequency bands of EEG signal was also studied in this phase. In the second phase of experiments, 8 image-sets relating to automobile design and features were used for a group of 11 participants. 60% of the participants responded with 70% or more accuracy. It was found that the cognitive preference of a participant was stronger than the aesthetic preference whenever there was a conflict between the two. Accuracy rate showed by participants varied with the quality of the tests; i.e. with the factors like image resolution, clarity, composition, subject, and background of images; and with the capability of the participant to identify the images properly. Literature on brain activity reports that, for some people, the left side of the brain is more active than the right one. The opposite is true for others. The hypothesis relating preference and extracted values was corrected in this regard. The corrected hypothesis was termed the reverse hypothesis. At the beginning of phase 2 experiments, 4 experiments were developed with IAPS images to identify if the participant followed the preliminary hypothesis or the reversed one. The results showed that most participants performed better in the experiments with product images than the experiments with standard IAPS images.

In Vivo Optical Imaging of Brain Function Second Edition

In Vivo Optical Imaging of Brain Function  Second Edition Book
Author : Ron D. Frostig
Publisher : CRC Press
Release : 2009-05-06
ISBN : 142007685X
Language : En, Es, Fr & De

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Book Description :

These are exciting times for the field of optical imaging of brain function. Rapid developments in theory and technology continue to considerably advance understanding of brain function. Reflecting changes in the field during the past five years, the second edition of In Vivo Optical Imaging of Brain Function describes state-of-the-art techniques and their applications for the growing field of functional imaging in the live brain using optical imaging techniques. New in the Second Edition: Voltage-sensitive dyes imaging in awake behaving animals Imaging based on genetically encoded probes Imaging of mitochondrial auto-fluorescence as a tool for cortical mapping Using pH-sensitive dyes for functional mapping Modulated imaging Calcium imaging of neuronal activity using 2-photon microscopy Fourier approach to optical imaging Fully updated chapters from the first edition Leading Authorities Explore the Latest Techniques Updated to reflect continuous development in this emerging research area, this new edition, as with the original, reaches across disciplines to review a variety of non-invasive optical techniques used to study activity in the living brain. Leading authorities from such diverse areas as biophysics, neuroscience, and cognitive science present a host of perspectives that range from a single neuron to large assemblies of millions of neurons, captured at various temporal and spatial resolutions. Introducing techniques that were not available just a few years ago, the authors describe the theory, setup, analytical methods, and examples that highlight the advantages of each particular method.

Multivariate Statistical Analysis in Neuroscience

Multivariate Statistical Analysis in Neuroscience Book
Author : Giovanni Cugliari,Marco Ivaldi
Publisher : GRIN Verlag
Release : 2015-06-08
ISBN : 365697375X
Language : En, Es, Fr & De

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Book Description :

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.

EEG Based Experiment Design for Major Depressive Disorder

EEG Based Experiment Design for Major Depressive Disorder Book
Author : Aamir Saeed Malik,Wajid Mumtaz
Publisher : Academic Press
Release : 2019-05-16
ISBN : 0128174218
Language : En, Es, Fr & De

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Book Description :

EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for diagnosis and assessment of treatment efficacy for a variety of conditions. With a unique combination of background and practical perspectives for the use of automated EEG methods for mental illness, it details for readers how to design a successful experiment, providing experiment designs for both clinical and behavioral applications. This book details the EEG-based functional connectivity correlates for several conditions, including depression, anxiety, and epilepsy, along with pathophysiology of depression, underlying neural circuits and detailed options for diagnosis. It is a necessary read for those interested in developing EEG methods for addressing challenges for mental illness and researchers exploring automated methods for diagnosis and objective treatment assessment. Written to assist in neuroscience experiment design using EEG Provides a step-by-step approach for designing clinical experiments using EEG Includes example datasets for affected individuals and healthy controls Lists inclusion and exclusion criteria to help identify experiment subjects Features appendices detailing subjective tests for screening patients Examines applications for personalized treatment decisions

The Oxford Handbook of Social Neuroscience

The Oxford Handbook of Social Neuroscience Book
Author : Jean Decety,John T. Cacioppo
Publisher : Oxford University Press
Release : 2015-04-15
ISBN : 0199711828
Language : En, Es, Fr & De

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Book Description :

The complexities of the brain and nervous system make neuroscience an inherently interdisciplinary pursuit, one that comprises disparate basic, clinical, and applied disciplines. Behavioral neuroscientists approach the brain and nervous system as instruments of sensation and response; cognitive neuroscientists view the same systems as a solitary computer with a focus on representations and processes. The Oxford Handbook of Social Neuroscience marks the emergence of a third broad perspective in this field. Social neuroscience emphasizes the functions that emerge through the coaction and interaction of conspecifics, the neural mechanisms that underlie these functions, and the commonality and differences across social species and superorganismal structures. With an emphasis on the neural, hormonal, cellular, and genetic mechanisms underlying social behavior, social neuroscience places emphasis on the associations and influences between social and biological levels of organization. This complex interdisciplinary perspective demands theoretical, methodological, statistical, and inferential rigor to effectively integrate basic, clinical, and applied perspectives on the nervous system and brain. Reflecting the diverse perspectives that make up this field, The Oxford Handbook of Social Neuroscience brings together perspectives from across the sciences in one authoritative volume.

Research Education in Design People Processes Products Philosophy

Research   Education in Design  People   Processes   Products   Philosophy Book
Author : Rita Almendra,João Ferreira
Publisher : CRC Press
Release : 2020-05-31
ISBN : 1000097439
Language : En, Es, Fr & De

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Book Description :

Design is about the creation of meaningful connections to solve problems and advance human wellbeing; the discipline has always explored the beneficial links between form and function, technology and meaning, beauty and utility, people and artefacts and problems and solutions, among others. This book focuses on the crucial connection between design research and design education. Contemporary society grows increasingly hyper-complex and globally competitive. This state of affairs raises fundamental questions for both Design Education and Design Research: Should research skills be integrated into undergraduate courses? How can we modify design courses without compromising the positive aspects of the educational studio experience? Can the three cycles of higher education in design be combined into a creative and inquisitive educational continuum? To examine the relationship between research and education in Design we must address the topic of knowledge, keeping in mind that the development and dissemination of new and useful knowledge is the core purpose of a University. If we agree that design has its own things to know and ways to find out about them, then design knowledge resides in people, processes, products, and philosophy. This book explores the intersection of these four areas with the aim of uncovering insights to advance the current state of the design discipline.

Brain Informatics

Brain Informatics Book
Author : Peipeng Liang,Vinod Goel,Chunlei Shan
Publisher : Springer Nature
Release : 2019-12-05
ISBN : 303037078X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 12th International Conference on Brain Informatics, BI 2019, held in Haikou, China, in December 2019. The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health.

Journal of Mental Imagery

Journal of Mental Imagery Book
Author : Anonim
Publisher : Unknown
Release : 2004
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Journal of Mental Imagery book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Web Intelligence Meets Brain Informatics

Web Intelligence Meets Brain Informatics Book
Author : Ning Zhong,Jiming Liu,Yiyu Yao,Jinglong Wu,Shengfu Lu,Kuncheng Li
Publisher : Springer Science & Business Media
Release : 2007-11-29
ISBN : 3540770275
Language : En, Es, Fr & De

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Book Description :

This book constitutes the thoroughly refereed post-workshop proceedings of the First WICI International Workshop on Web Intelligence meets Brain Informatics, WImBI 2006, which was held in Beijing, China, in December 2006. The workshop explores a new perspective of Web Intelligence (WI) research from the viewpoint of Brain Informatics (BI). The 26 revised full-length papers presented together with three introductory lectures have been carefully reviewed and selected.

Experimental Design Research

Experimental Design Research Book
Author : Philip Cash,Tino Stanković,Mario Štorga
Publisher : Springer
Release : 2016-05-17
ISBN : 3319337815
Language : En, Es, Fr & De

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Book Description :

This book presents a new, multidisciplinary perspective on and paradigm for integrative experimental design research. It addresses various perspectives on methods, analysis and overall research approach, and how they can be synthesized to advance understanding of design. It explores the foundations of experimental approaches and their utility in this domain, and brings together analytical approaches to promote an integrated understanding. The book also investigates where these approaches lead to and how they link design research more fully with other disciplines (e.g. psychology, cognition, sociology, computer science, management). Above all, the book emphasizes the integrative nature of design research in terms of the methods, theories, and units of study—from the individual to the organizational level. Although this approach offers many advantages, it has inherently led to a situation in current research practice where methods are diverging and integration between individual, team and organizational understanding is becoming increasingly tenuous, calling for a multidisciplinary and transdiscipinary perspective. Experimental design research thus offers a powerful tool and platform for resolving these challenges. Providing an invaluable resource for the design research community, this book paves the way for the next generation of researchers in the field by bridging methods and methodology. As such, it will especially benefit postgraduate students and researchers in design research, as well as engineering designers.

Cyber Physical Systems for Social Applications

Cyber Physical Systems for Social Applications Book
Author : Dimitrova, Maya,Wagatsuma, Hiroaki
Publisher : IGI Global
Release : 2019-04-03
ISBN : 1522578803
Language : En, Es, Fr & De

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Book Description :

Present day sophisticated, adaptive, and autonomous (to a certain degree) robotic technology is a radically new stimulus for the cognitive system of the human learner from the earliest to the oldest age. It deserves extensive, thorough, and systematic research based on novel frameworks for analysis, modelling, synthesis, and implementation of CPSs for social applications. Cyber-Physical Systems for Social Applications is a critical scholarly book that examines the latest empirical findings for designing cyber-physical systems for social applications and aims at forwarding the symbolic human-robot perspective in areas that include education, social communication, entertainment, and artistic performance. Highlighting topics such as evolinguistics, human-robot interaction, and neuroinformatics, this book is ideally designed for social network developers, cognitive scientists, education science experts, evolutionary linguists, researchers, and academicians.

Towards a New Cognitive Neuroscience Modeling Natural Brain Dynamics

Towards a New Cognitive Neuroscience  Modeling Natural Brain Dynamics Book
Author : Klaus Gramann,Tzyy-Ping Jung,Daniel P. Ferris,Chin-Teng Lin,Scott Makeig
Publisher : Frontiers E-books
Release : 2014-10-03
ISBN : 2889192717
Language : En, Es, Fr & De

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Book Description :

Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic resonance tomography (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) severely limit participants’ movements during experiments. As a consequence, our knowledge of the neural basis of human cognition is rooted in a dissociation of human cognition from what is arguably its foremost, and certainly its evolutionarily most determinant function, organizing our behavior so as to optimize its consequences in our complex, multi-scale, and ever-changing environment. The concept of natural cognition, therefore, should not be separated from our fundamental experience and role as embodied agents acting in a complex, partly unpredictable world. To gain new insights into the brain dynamics supporting natural cognition, we must overcome restrictions of traditional brain imaging technology. First, the sensors used must be lightweight and mobile to allow monitoring of brain activity during free participant movements. New hardware technology for electroencephalography (EEG) and near infrared spectroscopy (NIRS) allows recording electrical and hemodynamic brain activity while participants are freely moving. New data-driven analysis approaches must allow separation of signals arriving at the sensors from the brain and from non-brain sources (neck muscles, eyes, heart, the electrical environment, etc.). Independent component analysis (ICA) and related blind source separation methods allow separation of brain activity from non-brain activity from data recorded during experimental paradigms that stimulate natural cognition. Imaging the precisely timed, distributed brain dynamics that support all forms of our motivated actions and interactions in both laboratory and real-world settings requires new modes of data capture and of data processing. Synchronously recording participants’ motor behavior, brain activity, and other physiology, as well as their physical environment and external events may be termed mobile brain/body imaging ('MoBI'). Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. During an intense workshop researchers from all over the world presented their projects and discussed new technological developments and challenges of this new imaging approach. Several of the presentations are compiled in this Research Topic that we hope may inspire new research using the MoBI paradigm to investigate natural cognition by recording and analyzing the brain dynamics and behavior of participants performing a wide range of naturally motivated actions and interactions.

Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures

Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures Book
Author : Felix Putze,Christian Mühl,Fabien Lotte,Stephen Fairclough,Christian Herff
Publisher : Frontiers Media SA
Release : 2019-02-05
ISBN : 2889456919
Language : En, Es, Fr & De

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Book Description :

Executive cognitive functions like working memory determine the success or failure of a wide variety of different cognitive tasks, such as problem solving, navigation, or planning. Estimation of constructs like working memory load or memory capacity from neurophysiological or psychophysiological signals would enable adaptive systems to respond to cognitive states experienced by an operator and trigger responses designed to support task performance (e.g. by simplifying the exercises of a tutor system when the subject is overloaded, or by shutting down distractions from the mobile phone). The determination of cognitive states like working memory load is also useful for automated testing/assessment or for usability evaluation. While there exists a large body of research work on neural and physiological correlates of cognitive functions like working memory activity, fewer publications deal witt the application of this research with respect to single-trial detection and real-time estimation of cognitive functions in complex, realistic scenarios. Single-trial classifiers based on brain activity measurements such as electroencephalography, functional near-infrared spectroscopy, physiological signals or eye tracking have the potential to classify affective or cognitive states based upon short segments of data. For this purpose, signal processing and machine learning techniques need to be developed and transferred to real-world user interfaces. The goal of this Frontiers Research Topic was to advance the State-of-the-Art in signal-based modeling of cognitive processes. We were especially interested in research towards more complex and realistic study designs, for example collecting data in the wild or investigating the interaction between different cognitive processes or signal modalities. Bringing together many contributions in one format allowed us to look at the state of convergence or diversity regarding concepts, methods, and paradigms.

Interaction Design for 3D User Interfaces

Interaction Design for 3D User Interfaces Book
Author : Francisco R. Ortega,Fatemeh Abyarjoo,Armando Barreto,Naphtali Rishe,Malek Adjouadi
Publisher : CRC Press
Release : 2016-01-06
ISBN : 1482216957
Language : En, Es, Fr & De

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Book Description :

In this new era of computing, where the iPhone, iPad, Xbox Kinect, and similar devices have changed the way to interact with computers, many questions have risen about how modern input devices can be used for a more intuitive user interaction. Interaction Design for 3D User Interfaces: The World of Modern Input Devices for Research, Applications, a

Development of an Electroencephalography based Brain Controlled Switch and Nerve Conduction Study Simulator Software

Development of an Electroencephalography based Brain Controlled Switch and Nerve Conduction Study Simulator Software Book
Author : Kai Qian
Publisher : Unknown
Release : 2010
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This thesis investigated the development of an EEG-based brain controlled switch and the design of a software for nerve conduction study. For EEG-based brain controlled switch, we proposed a novel paradigm for an online brain-controlled switch based on Event-Related Synchronizations (ERDs) following external sync signals. Furthermore, the ERD feature was enhanced by 3 event-related moving averages and the performance was tested online. Subjects were instructed to perform an intended motor task following an external sync signal in order to turn on a virtual switch. Meanwhile, the beta-band (16-20Hz) relative ERD power (ERD in reverse value order) of a single EEG Laplacian channel from primary motor area was calculated and filtered by 3 event-related moving average in real-time. The computer continuously monitored the filtered relative ERD power level until it exceeded a pre-set threshold selected based on the observations of ERD power range to turn on the virtual switch. Four right handed healthy volunteers participated in this study. The false positive rates encountered among the four subjects during the operation of the virtual switch were 0.8 [plus or minus] 0.4%, whereby the response time delay was 36.9 [plus or minus] 13.0s and the subjects required approximately 12.3 [plus or minus] 4.4 s of active urging time to perform repeated attempts in order to turn on the switch in the online experiments. The aim of nerve conduction simulator software design is to create software that can be used by nerve conduction simulator to serve as a medical simulator or education tool to train novice physicians for nerve conduction study test. The real response waveform of 10 different upper limb nerves in conduction studies were obtained from the equipment used in real patient studies. A waveform generation model was built to generalize the response waveform near the standard stimulus site within study interest region based on the extracted waveforms and normal reference parameters of each study and stimulus site coordinates. Finally, based on the model, a software interface was created to simulate 10 different nerve conduction studies of the upper limb with 9 pathological conditions.

Case Study Designs in Music Therapy

Case Study Designs in Music Therapy Book
Author : David Aldridge
Publisher : Jessica Kingsley Publishers
Release : 2004-09-29
ISBN : 9781846420009
Language : En, Es, Fr & De

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Book Description :

Research and clinical work are often perceived as opposites in the field of music therapy. This book shows, for the first time, how these two areas of work can creatively complement one another, proving beneficial to both disciplines. Each chapter is written by a leading researcher and practitioner in the field, and the book covers a wide spectrum of approaches within different settings. Beginning with methodological and musicological approaches to case studies, the book then moves on to more specific topics such as the use of case studies in an interactive play setting and in music therapy with the elderly. Later chapters explore theoretical aspects, looking at a worked example of music and progressive change during therapy, and how case study designs can be used in practice. A must for all professionals working and studying within the music therapy area, this is also an informative and useful book for health researchers.