Deep Brain Learning
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Deep Brain Learning
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Author : Larry K. Brendtro
language : en
Publisher: Debolsillo
Release Date : 2009
Deep Brain Learning written by Larry K. Brendtro and has been published by Debolsillo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Child mental health categories.
Deep Brain Learning
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Author : Larry Brendtro
language : en
Publisher:
Release Date : 2015-04-01
Deep Brain Learning written by Larry Brendtro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-01 with categories.
Applied Software Development With Python Machine Learning By Wearable Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation
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Author : Robert Lemoyne
language : en
Publisher: World Scientific
Release Date : 2021-08-26
Applied Software Development With Python Machine Learning By Wearable Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation written by Robert Lemoyne and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-26 with Computers categories.
The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation for treating movement disorders, such as essential tremor, and machine learning. The machine learning distinguishes between distinct deep brain stimulation settings, such as 'On' and 'Off' status. This achievement demonstrates preliminary insight with respect to the concept of Network Centric Therapy, which essentially represents the Internet of Things for healthcare and the biomedical industry, inclusive of wearable and wireless inertial sensor systems, machine learning, and access to Cloud computing resources.Imperative to the realization of these objectives is the organization of the software development process. Requirements and pseudo code are derived, and software automation using Python for post-processing the inertial sensor signal data to a feature set for machine learning is progressively developed. A perspective of machine learning in terms of a conceptual basis and operational overview is provided. Subsequently, an assortment of machine learning algorithms is evaluated based on quantification of a reach and grasp task for essential tremor using a smartphone as a wearable and wireless accelerometer system.Furthermore, these skills regarding the software development process and machine learning applications with wearable and wireless inertial sensor systems enable new and novel biomedical research only bounded by the reader's creativity.Related Link(s)
Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications
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Author : Xiang Zhang
language : en
Publisher: World Scientific
Release Date : 2021-09-14
Deep Learning For Eeg Based Brain Computer Interfaces Representations Algorithms And Applications written by Xiang Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Computers categories.
Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.Related Link(s)
Applied Software Development With Python Machine Learning By Wearable Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation
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Author : Robert Charles LeMoyne
language : en
Publisher:
Release Date : 2021
Applied Software Development With Python Machine Learning By Wearable Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation written by Robert Charles LeMoyne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Electronic books categories.
"The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation for treating movement disorders, such as essential tremor, and machine learning. The machine learning distinguishes between distinct deep brain stimulation settings, such as 'On' and 'Off' status. This achievement demonstrates preliminary insight with respect to the concept of Network Centric Therapy, which essentially represents the Internet of Things for healthcare and the biomedical industry, inclusive of wearable and wireless inertial sensor systems, machine learning, and access to Cloud computing resources. Imperative to the realization of these objectives is the organization of the software development process. Requirements and pseudo code are derived, and software automation using Python for post-processing the inertial sensor signal data to a feature set for machine learning is progressively developed. A perspective of machine learning in terms of a conceptual basis and operational overview is provided. Subsequently, an assortment of machine learning algorithms is evaluated based on quantification of a reach and grasp task for essential tremor using a smartphone as a wearable and wireless accelerometer system. Furthermore, these skills regarding the software development process and machine learning applications with wearable and wireless inertial sensor systems enable new and novel biomedical research only bounded by the reader's creativity"--
Learning And Memory From Molecules And Cells To Mind And Behavior
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Author : Thomas Heinbockel
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-06-05
Learning And Memory From Molecules And Cells To Mind And Behavior written by Thomas Heinbockel and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-05 with Psychology categories.
This book is dedicated to “learning and memory,” a concept at the heart of neuroscience. Learning is about acquiring knowledge and skills, forming memories, and how behavior changes based on past experiences. Learning is closely related to memory. Memory is about the recall and expression of what one has learned. This book presents contributions to learning and memory, ranging from molecular, cellular, anatomical, developmental, and systems to disease-oriented studies. As such, the book provides a gateway for newly interested investigators and serves as a resource for seasoned researchers of learning and memory. Targeted at students and researchers in biological, medical, and behavioral disciplines, this book offers an overview of the work that is being done in this field and highlights any gaps and areas that would benefit from further exploration. Individual chapters focus on research advances in different brain regions and experimental models. In addition, the book will contribute to the training of current and future neuroscientists.
Closed Loop Deep Brain Stimulation Algorithm For Parkinson S Disease Based On Reinforcement Learning And Basal Ganglia Thalamus Network Dynamics
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Author : 卓嘉虹
language : en
Publisher:
Release Date : 2022
Closed Loop Deep Brain Stimulation Algorithm For Parkinson S Disease Based On Reinforcement Learning And Basal Ganglia Thalamus Network Dynamics written by 卓嘉虹 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Learning Deep Brain Stimulation Management Through Clinical Cases
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Author : Martijn Beudel
language : en
Publisher: Academic Press
Release Date : 2024-03-01
Learning Deep Brain Stimulation Management Through Clinical Cases written by Martijn Beudel and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with Medical categories.
Deep Brain Stimulation (DBS) uses electrical stimulation to regulate electrical signals in neural circuits to and from identified areas in the brain to improve movement symptoms. The management of DBS in a movement disorders can be challenging, optimizing patient journeys and grasping all clinical aspects of the highly technological therapy. Learning Deep Brain Stimulation Management through Clinical Cases, reviews the clinical practice of applying deep brain stimulation (DBS) to patients with movement disorders using a case-based approach. The book explores the cardinal aspects of applying DBS in diverse movement disorders based on patient's needs. Every case takes the reader on a journey answering all questions through case descriptions and step by step procedures for optimal replication. Every chapter will include a clinical decision support systems (CDSS) depicted in flowcharts that can be used for reference.
Machine Learning And Deep Learning In Neuroimaging Data Analysis
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Author : Anitha S. Pillai
language : en
Publisher: CRC Press
Release Date : 2024-02-15
Machine Learning And Deep Learning In Neuroimaging Data Analysis written by Anitha S. Pillai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-15 with Computers categories.
Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.
Deep Brain Stimulation
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Author : Shilpa Chitnis MD, PhD
language : en
Publisher: Oxford University Press
Release Date : 2020-06-30
Deep Brain Stimulation written by Shilpa Chitnis MD, PhD and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-30 with Medical categories.
Deep Brain Stimulation addresses the practical tips required to program and manage deep brain stimulation devices in the clinic. The number of deep brain stimulation devices worldwide will soon eclipse 200,000 and is an approved surgical treatment for medically refractory neurological movement disorders such as Parkinson disease, tremors, and dystonia. It is, therefore, inevitable that clinicians and nurses will require the necessary tools, and exemplary real-life cases, to manage these complex patients. This book offers a case-based approach to common and uncommon neurologic problems related to deep brain stimulator problems. Each case is a clinical pearl, accompanied by a discussion as well as practical tips to improve patient management.