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|a 9780323992381
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|2 23/eng/20230801
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|a Digital technologies in movement disorders /
|c edited by Alvaro Sanchez Ferro, Mariana H.G. Monje.
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|a [Place of publication not identified] :
|b Academic Press,
|c 2023.
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|a 1 online resource (422 pages)
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|a text
|b txt
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|a online resource
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|a International review of movement disorders ;
|v 5
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|a 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.
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|a Print version record.
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|a Intro -- Title page -- Table of Contents -- Copyright -- Contributors -- Preface -- References -- Chapter One: Applications of artificial intelligence in movement disorders, in the pursuit of personalized healthcare -- Abstract -- 1: Introduction -- 2: Examples throughout the care delivery pathway in movement disorders -- 3: Additional considerations and challenges -- 4: Conclusions -- References -- Chapter Two: Machine learning basic concepts for the movement disorders specialist -- Abstract -- 1: Basic vocabulary -- 2: Generalization in supervised learning -- 3: Classification methods -- 4: Explainable artificial intelligence (XAI) -- 5: Summary and conclusion -- References -- Chapter Three: Digital biomarkers in movement disorders -- Abstract -- 1: Introduction -- 2: Parkinson's disease -- 3: Huntington's disease -- 4: Other movement disorders -- 5: Discussion -- Acknowledgments -- References -- Chapter Four: Basic concept of sensors for movement disorders specialists -- Abstract -- 1: Performance of sensors in movement disorders: What can they add to our knowledge? -- 2: Which sensors can be used in movement disorders? -- 3: How do sensors relate to the internet of things, big data, machine learning, and deep learning? -- 4: Do technological devices follow a development and validation process? -- 5: What are patients' and healthcare professionals' perspectives on the use of sensors for disease management? -- 6: Current challenges and future directions -- 7: Conclusion -- References -- Chapter Five: Wearable systems in movement disorders -- Abstract -- 1: Introduction -- 2: Parkinson's disease and other parkinsonisms -- 3: Other movement disorders -- 4: Conclusions -- References -- Chapter Six: Digital gait and balance measures -- Abstract -- 1: Introduction -- 2: Domains of mobility -- 3: Components of gait.
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|a 4: Different movement disorders affect different gait components -- 5: Different treatments affect different gait components -- 6: Brain imaging supports independent mobility domains and gait components -- 7: How to decide which digital gait measure to use? -- 8: Automaticity of gait -- 9: Measuring gait in daily life -- 10: Summary -- References -- Chapter Seven: The challenges and opportunities for remotely evaluating movement disorders -- Abstract -- 1: Introduction -- 2: Aims -- 3: The opportunities of remote monitoring to address the needs of the research community, healthcare professionals and patients -- 4: How are digital health technologies used for remote monitoring: Broad principles and opportunities -- 5: Remote monitoring with DHT in research -- 6: How is remote monitoring being implemented in clinical care: The healthcare professional and the patient perspective -- 7: Challenges to implementation of remote monitoring with DHT -- 8: Next steps: A view to the future -- References -- Chapter Eight: eCOA, ePROs and other digital health solutions in movement disorders -- Abstract -- 1: Introduction -- 2: Electronic clinical outcome assessment (eCOA) -- 3: ePRO: A particular case of an eCOA -- 4: Other patient-focused digital health solutions -- 5: Designing accessible and acceptable self-care technologies for PD -- 6: Concluding remarks -- References -- Chapter Nine: Telemedicine in movement disorders -- Abstract -- 1: Background -- 2: Conclusions -- References -- Chapter Ten: Video and optoelectronics in movement disorders -- Abstract -- 1: Introduction -- 2: Video technologies applied to movements disorders -- 3: Deep learning for video analysis -- 4: Motion analysis -- 5: Estimating traditional scales with video assessment methods -- 6: Movement disorder analysis using video systems -- 7: Conclusions -- References.
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|a Chapter Eleven: Therapeutic applications and technical developments of focused ultrasound for movement disorders -- Abstract -- 1: Introduction: An overview of focused ultrasound applications -- 2: Historical perspective of functional neurosurgery for the treatment of movement disorders -- 3: High-intensity focused ultrasound for thermoablation: Technical principles and procedure performance -- 4: Clinical applications of FUS thermoablation for movement disorders -- 5: Towards technical improvement and expansion of clinical indications of HIFU ablation -- 6: Low intensity focused ultrasound (LIFU): Blood-brain barrier opening and neuromodulation -- 7: Conclusions -- References -- Glossary.
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|a Movement disorders.
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|a Parkinson's disease.
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|a Ferro, Alvaro Sanchez.
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|a Monje, Mariana H. G.
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|i Print version:
|t DIGITAL TECHNOLOGIES IN MOVEMENT DISORDERS.
|d [Place of publication not identified] : ELSEVIER ACADEMIC PRESS, 2023
|z 0323992374
|w (OCoLC)1355483469
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|u https://sciencedirect.uam.elogim.com/science/bookseries/26667878/5
|z Texto completo
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