Digital Technologies in Movement Disorders
- 1st Edition, Volume 5 - July 20, 2023
- Editors: Alvaro Sanchez Ferro, Mariana Hernandez Gonzalez-Monje
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 2 3 7 - 4
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 2 3 8 - 1
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… Read more
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Request a sales quoteDigital 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, 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
Movement disorders specialists, general neurologists, researchers, patients, and other health professionals that wish to expand their knowledge in the field of new technologies
- Cover image
- 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
- 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
- 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
- No. of pages: 422
- Language: English
- Edition: 1
- Volume: 5
- Published: July 20, 2023
- Imprint: Academic Press
- Hardback ISBN: 9780323992374
- eBook ISBN: 9780323992381
AS
Alvaro Sanchez Ferro
Dr. Sánchez Ferro specialized in neurology at the Hospital 12 de Octubre in Madrid (Spain). In the same center, he was trained specifically for the management of Parkinson's disease thanks to a program of the Carlos III Research Institute (Río Hortega Program). During this period, he visited prestigious centers such as the "Hertie Institut" in Tübingen (Germany) and the "MINDS laboratory" from Harvard University where he also received training in neurodegenerative diseases. In 2013, Dr. Sánchez Ferro received a scholarship from a program of the Community of Madrid and the Massachusetts Institute of Technology (Cambridge, USA) to be part of a biomedical innovation program. As part of it, he developed new methods for the objective quantification of Parkinson's disease signs. Currently, Dr. Sánchez-Ferro continues applying these skills in his position as neurologist and researcher at 12 de Octubre Hospital and Chief Medical Officer of Leuko Labs. He is also Director of the Clinical Outcomes Assessment Program at the International Parkinson and Movement Disorders Society (MDS) and is an active member of the Technology Study Group of the MDS Society.
Affiliations and expertise
Movement Disorders Unit, Neurology Department, Hospital Universitario 12 de Octubre, Avda. de Cordoba s/n, Madrid, SpainMG
Mariana Hernandez Gonzalez-Monje
Dr Monje specialized in neurology at the Hospital Clínico San Carlos in Madrid (Spain). She received her PhD in Neuroscience from Universidad Autónoma de Madrid working in a progressive model of Parkinson’s disease in non-human primate. She posteriorly pursued a clinical and research fellowship in Movement in HM-CINAC, where she got experience in new technologies for the objective quantification of movement disorders. Currently, Dr. Monje works as postdoctoral scholar in Northwestern University, Chicago (USA). She is the co-Chair of the Electronic Clinical Outcomes Assessment Program at the International Parkinson and Movement Disorders Society (MDS).
Affiliations and expertise
Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USARead Digital Technologies in Movement Disorders on ScienceDirect