Author: Robert Lemoyne
Publisher: World Scientific
ISBN: 981123597X
Category : Computers
Languages : en
Pages : 249
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Book Description
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)
Author: Robert Charles LeMoyne
Publisher:
ISBN: 9789811235962
Category : Electronic books
Languages : en
Pages : 249
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Book Description
"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"--
Author: Robert Charles LeMoyne
Publisher: Springer Nature
ISBN: 9819724392
Category : Electronic books
Languages : en
Pages : 206
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Book Description
This book is the second edition of the one originally published in 2017. The original publication features the discovery of numerous novel applications for the use of smartphones and portable media devices for the quantification of gait, reflex response, and an assortment of other concepts that constitute first-in-the-world applications for these devices. Since the first edition, numerous evolutions involving the domain of wearable and wireless systems for healthcare have transpired warranting the publication of the second edition. This volume covers wearable and wireless systems for healthcare that are far more oriented to the unique requirements of the biomedical domain. The paradigm-shifting new wearables have been successfully applied to gait analysis, homebound therapy, and quantifiable exercise. Additionally, the confluence of wearable and wireless systems for healthcare with deep learning and neuromorphic applications for classification is addressed. The authors expect that these significant developments make this book valuable for all readers.
Author: Robert LeMoyne
Publisher: Springer
ISBN: 9789811358074
Category : Technology & Engineering
Languages : en
Pages : 128
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Book Description
This book provides a far-sighted perspective on the role of wearable and wireless systems for movement disorder evaluation, such as Parkinson’s disease and Essential tremor. These observations are brought together in the application of quantified feedback for deep brain stimulation systems using the wireless accelerometer and gyroscope of a smartphone to determine tuning efficacy. The perspective of the book ranges from the pioneering application of these devices, such as the smartphone, for quantifying Parkinson’s disease and Essential tremor characteristics, to the current state of the art. Dr. LeMoyne has published multiple first-of-their-kind applications using smartphones to quantify movement disorder, with associated extrapolation to portable media devices.
Author: Robert LeMoyne
Publisher: Springer Nature
ISBN: 9819746353
Category :
Languages : en
Pages : 204
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Book Description
Author: R. Simon Sherratt
Publisher: MDPI
ISBN: 3039364790
Category : Science
Languages : en
Pages : 146
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Book Description
Advances in technology have produced a range of on-body sensors and smartwatches that can be used to monitor a wearer’s health with the objective to keep the user healthy. However, the real potential of such devices not only lies in monitoring but also in interactive communication with expert-system-based cloud services to offer personalized and real-time healthcare advice that will enable the user to manage their health and, over time, to reduce expensive hospital admissions. To meet this goal, the research challenges for the next generation of wearable healthcare devices include the need to offer a wide range of sensing, computing, communication, and human–computer interaction methods, all within a tiny device with limited resources and electrical power. This Special Issue presents a collection of six papers on a wide range of research developments that highlight the specific challenges in creating the next generation of low-power wearable healthcare sensors.
Author: Samee U. Khan
Publisher: Springer
ISBN: 3319582801
Category : Computers
Languages : en
Pages : 630
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Book Description
This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.
Author: Marie-therese Averbuch-pouchot
Publisher: World Scientific
ISBN: 9814499056
Category : Science
Languages : en
Pages : 421
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Book Description
This book aims to open new fields of interest in phosphate chemistry and to suggest a new system of classification for phosphates. Due to the very rapid development of this branch of chemistry during the last thirty years and the very confusing nomenclature often used in chemical literature, this first attempt seems not only justified but necessary. The suggested classification is not revolutionary, with respect to condensed phosphates for instance, but establishes clear boundaries between some categories of compounds such as adducts and heteropolyanion-compounds. The first chapters cover the present state of phosphate chemistry in a general way and could serve as an introduction to phosphates for some categories of students or teachers. The next few chapters are devoted to more specialized topics which would be of interest to chemists, crystallographers or solid-state specialists.Some specific aspects of the crystal chemistry of phosphates, such as the geometry of the networks built by acidic phosphoric anions, for instance, are covered for the first time. The final chapter suggests some improvements for the present system of classification for phosphates.In addition, presented for the first time are the results recently obtained for the replacement of asbestos by harmless biodegradable phosphate fibers.
Author: Aamir Saeed Malik
Publisher: Academic Press
ISBN: 0128111410
Category : Psychology
Languages : en
Pages : 297
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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
Author: Aleksandra Przegalinska
Publisher: Palgrave Pivot
ISBN: 9783030009069
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This innovative book considers the positive and negative impact of wearable technologies on organization and work. First discussing the development and use of this software within the workspace, the author highlights potential issues such as privacy, addiction and lack of work efficiency. Technology has had a major impact on workspace and workforce, and the second section explores how it has emerged as a key driver of collaboration, and what the shortfalls are in terms of autonomy, solidarity and authenticity. Cloud technology, mobile technology, collaboration apps, the Internet of Things, and highly specialized AI bear the promise of a radical enhancement of the way we work and interact. This book discusses the potential future scenarios for wearable technologies in the context of the IoT and as a social and organizational phenomenon.
