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.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Dedication - p. iii 7. List of contributors - p. xiii 8. Preface - p. xv 9. Acknowledgments - p. xv 10. Part I: Digital technologies: The primer - p. xv 11. Chapter 1. We are living in the Parkinson's pandemic: how can multi-stakeholders utilize digital technologies effectively? - p. 3 12. Chapter 2. Embracing the promise of artificial intelligence to improve patient care in movement disorders - p. 11 13. Part II: Different stakeholders' perspectives on technology in movement disorders - p. 23 14. Chapter 3. Medical professional's viewpoint and clinical adoption - p. 27 15. Chapter 4. Applying technologies to unmet clinical needs in movement disorders - p. 39 16. Chapter 5. Drug development for movement disorders: using digital measures for decision making - p. 49 17. Chapter 6. Novel analytics in the management of movement disorders - p. 67 18. Part III: Technologies in movement disorders: Detecting disease, monitoring symptoms and treatment response, and measuring progression - p. 88 19. Chapter 7. Digital outcomes: potentials and clinical considerations - p. 91 20. Chapter 8. Technologies for identification of prodromal movement disorder phases and at-risk individuals - p. 109 21. Chapter 9. Toward digitalization of clinical rating scales - p. 119 22. Chapter 10. Patient diaries in movement disorders: opportunities and limitations - p. 129 23. Chapter 11. Wearables for diagnosis and predicting clinical milestones - p. 149 24. Chapter 12. Applications and wearables for disease monitoring - p. 167 25. Chapter 13. Nonwearable stationary systems for movement disorders - p. 181 26. Chapter 14. Technologies for the management of hyperkinetic movement disorders - p. 207 27. Part IV: Technologies in movement disorders: Therapeutic innovations - p. 229 28. Chapter 15. Engaging multi-stakeholders to develop a great digital assistive technology that Parkinson's disease patients love, value, and use to improve motor aspects of daily living - p. 233 29. Chapter 16. Robotics and exoskeletons: Are we close to daily clinical implementation? - p. 257 30. Chapter 17. Closed-loop systems - p. 269 31. Part V: Challenges and future directions - p. 284 32. Chapter 18. (Re)configuration of digital health records to optimize diagnosis and therapy - p. 287 33. Chapter 19. Overcoming our shared challenge: reducing climate change burdens and improving movement disorders management through digital technology - p. 301 34. Chapter 20. Harmonization of data sets: basic principles and ethical aspects - p. 315 35. Glossary - p. 329 36. Index - p. 335
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.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Dedication - p. iii 7. List of contributors - p. xiii 8. Preface - p. xv 9. Acknowledgments - p. xv 10. Part I: Digital technologies: The primer - p. xv 11. Chapter 1. We are living in the Parkinson's pandemic: how can multi-stakeholders utilize digital technologies effectively? - p. 3 12. Chapter 2. Embracing the promise of artificial intelligence to improve patient care in movement disorders - p. 11 13. Part II: Different stakeholders' perspectives on technology in movement disorders - p. 23 14. Chapter 3. Medical professional's viewpoint and clinical adoption - p. 27 15. Chapter 4. Applying technologies to unmet clinical needs in movement disorders - p. 39 16. Chapter 5. Drug development for movement disorders: using digital measures for decision making - p. 49 17. Chapter 6. Novel analytics in the management of movement disorders - p. 67 18. Part III: Technologies in movement disorders: Detecting disease, monitoring symptoms and treatment response, and measuring progression - p. 88 19. Chapter 7. Digital outcomes: potentials and clinical considerations - p. 91 20. Chapter 8. Technologies for identification of prodromal movement disorder phases and at-risk individuals - p. 109 21. Chapter 9. Toward digitalization of clinical rating scales - p. 119 22. Chapter 10. Patient diaries in movement disorders: opportunities and limitations - p. 129 23. Chapter 11. Wearables for diagnosis and predicting clinical milestones - p. 149 24. Chapter 12. Applications and wearables for disease monitoring - p. 167 25. Chapter 13. Nonwearable stationary systems for movement disorders - p. 181 26. Chapter 14. Technologies for the management of hyperkinetic movement disorders - p. 207 27. Part IV: Technologies in movement disorders: Therapeutic innovations - p. 229 28. Chapter 15. Engaging multi-stakeholders to develop a great digital assistive technology that Parkinson's disease patients love, value, and use to improve motor aspects of daily living - p. 233 29. Chapter 16. Robotics and exoskeletons: Are we close to daily clinical implementation? - p. 257 30. Chapter 17. Closed-loop systems - p. 269 31. Part V: Challenges and future directions - p. 284 32. Chapter 18. (Re)configuration of digital health records to optimize diagnosis and therapy - p. 287 33. Chapter 19. Overcoming our shared challenge: reducing climate change burdens and improving movement disorders management through digital technology - p. 301 34. Chapter 20. Harmonization of data sets: basic principles and ethical aspects - p. 315 35. Glossary - p. 329 36. Index - p. 335
