Applied Software Development With Python Machine Learning By Wearable Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation

Author : Robert Lemoyne
Publisher : World Scientific
ISBN 13 : 981123597X
Total Pages : 249 pages
Book Rating : 4.79/5 ( download)

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Download or read book Applied Software Development With Python & Machine Learning By Wearable & Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation written by Robert Lemoyne and published by World Scientific. This book was released on 2021-08-26 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 9789811235962
Total Pages : 249 pages
Book Rating : 4.61/5 ( download)

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Download or read book 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 published by . This book was released on 2021 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 LeMoyne
Publisher : Springer Nature
ISBN 13 : 9819724392
Total Pages : 206 pages
Book Rating : 4.90/5 ( download)

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Download or read book Wearable and Wireless Systems for Healthcare written by Robert LeMoyne and published by Springer Nature. This book was released on 2018 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Robert LeMoyne
Publisher : Springer
ISBN 13 : 9811358087
Total Pages : 128 pages
Book Rating : 4.81/5 ( download)

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Download or read book Wearable and Wireless Systems for Healthcare II written by Robert LeMoyne and published by Springer. This book was released on 2019-02-20 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Charles LeMoyne
Publisher :
ISBN 13 : 9789811358098
Total Pages : 128 pages
Book Rating : 4.95/5 ( download)

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Download or read book Wearable and Wireless Systems for Healthcare written by Robert Charles LeMoyne and published by . This book was released on 2019 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Andreas Miroslaus Wichert
Publisher : World Scientific
ISBN 13 : 9811234078
Total Pages : 641 pages
Book Rating : 4.71/5 ( download)

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Download or read book Machine Learning - A Journey To Deep Learning: With Exercises And Answers written by Andreas Miroslaus Wichert and published by World Scientific. This book was released on 2021-01-26 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.Related Link(s)

Author : Asma Channa
Publisher : Springer Nature
ISBN 13 : 3031450035
Total Pages : 102 pages
Book Rating : 4.37/5 ( download)

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Download or read book Deep Learning in Smart eHealth Systems written by Asma Channa and published by Springer Nature. This book was released on 2023-12-07 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the main benefits of this book is that it presents a comprehensive and innovative eHealth framework that leverages deep learning and IoT wearable devices for the evaluation of Parkinson's disease patients. This framework offers a new way to assess and monitor patients' motor deficits in a personalized and automated way, improving the efficiency and accuracy of diagnosis and treatment. Compared to other books on eHealth and Parkinson's disease, this book offers a unique perspective and solution to the challenges facing patients and healthcare providers. It combines state-of-the-art technology, such as wearable devices and deep learning algorithms, with clinical expertise to develop a personalized and efficient evaluation framework for Parkinson's disease patients. This book provides a roadmap for the integration of cutting-edge technology into clinical practice, paving the way for more effective and patient-centered healthcare. To understand this book, readers should have a basic knowledge of eHealth, IoT, deep learning, and Parkinson's disease. However, the book provides clear explanations and examples to make the content accessible to a wider audience, including researchers, practitioners, and students interested in the intersection of technology and healthcare.

Author :
Publisher : Elsevier
ISBN 13 : 0323992382
Total Pages : 314 pages
Book Rating : 4.81/5 ( download)

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Download or read book Digital Technologies in Movement Disorders written by and published by Elsevier. This book was released on 2023-07-24 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Technologies in Movement Disorders, Volume Five updates on the latest advances in new technologies for the care of common conditions, including Parkinson’s disease and other diseases. The book has been organized in four differentiated sections with chapters that cover an Introduction, key concepts, and overview of digital solutions, Applications of AI in MD, Digital Biomarkers in MD, Sensors basic concepts for the MD specialist, Wearable systems in MD, Quantitative gait analysis, The challenges and opportunities of remote evaluation in MD, Telemedicine in MD, ePROs, eCOA and other digital health solutions, HIFU, Telerrehabilition and other therapeutical applications of technology, and more. Includes a multidisciplinary review of topics such as the input of care providers and engineers Reviews new technological advances Includes practice oriented technologies and innovations that have direct applications in the clinic

Author : Roongroj Bhidayasiri
Publisher : Elsevier
ISBN 13 : 0323994954
Total Pages : 366 pages
Book Rating : 4.58/5 ( download)

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Download or read book Handbook of Digital Technologies in Movement Disorders written by Roongroj Bhidayasiri and published by Elsevier. This book was released on 2024-01-20 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past few years, there have been fundamental changes in the diagnosing and treating patients with chronic diseases, significantly affecting management of neurological movement disorders. In addition, the health and fitness sector developed several devices to better classify, track, and potentially treat chronic diseases. Both handling and interpreting these large datasets has been revolutionized, by machine and deep learning approaches, leading to new and more effective therapies, resulting in longer survival rates. Handbook of Digital Technologies in Movement Disorders aims to unite these factors to provide a comprehensive guide to patient focused treatments for movement disorders. This book is divided into five distinct sections, starting with an introduction to digital technologies, concepts, and terminologies. The following section reviews various perspectives on technology in movement disorders, including patient and medical professionals. The third section presents technologies used in detecting, measuring progression, and determining response to treatments. This is followed by reviewing the technology used in various treatments of movement disorders including assistive and robotic technologies. Finally, the last section examines the challenges with technology including privacy and other ethical issues. Reviews different stakeholders' perspectives on technology in movement disorders Presents technological advancements for diagnosing, monitoring, and managing Parkinson’s disease Discusses challenges with implementing technology into treatment

Author : Davide Bacciu
Publisher : World Scientific Publishing Europe Limited
ISBN 13 : 9781800610934
Total Pages : 0 pages
Book Rating : 4.39/5 ( download)

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Download or read book Deep Learning in Biology and Medicine written by Davide Bacciu and published by World Scientific Publishing Europe Limited. This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biology, medicine and biochemistry have become data-centric fields for which Deep Learning methods are delivering groundbreaking results. Addressing high impact challenges, Deep Learning in Biology and Medicine provides an accessible and organic collection of Deep Learning essays on bioinformatics and medicine. It caters for a wide readership, ranging from machine learning practitioners and data scientists seeking methodological knowledge to address biomedical applications, to life science specialists in search of a gentle reference for advanced data analytics.With contributions from internationally renowned experts, the book covers foundational methodologies in a wide spectrum of life sciences applications, including electronic health record processing, diagnostic imaging, text processing, as well as omics-data processing. This survey of consolidated problems is complemented by a selection of advanced applications, including cheminformatics and biomedical interaction network analysis. A modern and mindful approach to the use of data-driven methodologies in the life sciences also requires careful consideration of the associated societal, ethical, legal and transparency challenges, which are covered in the concluding chapters of this book.