Handbook of Digital Technologies in Movement Disorders aims to unite these factors to provide a comprehensive guide to patient focused treatments for movement disorders. Sections cover an introduction to digital technologies, concepts, and terminologies, review various perspectives on technology in movement disorders, including patient and medical professionals, and present technologies used in detecting, measuring progression, and determining response to treatments. Additional chapters review 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. 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.
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Table of Contents
Part 1: Digital technology: The primer 1. Digital technology: A multifacet discipline 2. Understanding medical and technical terminologies 3. Potential role of digital technologies in the management of PD: Unmet needs for diagnosis, monitoring and treatment 4. Parkinson's disease and other movement disorders for technologists
Part 2: Different stakeholders` perspectives on technology in movement disorders 5. Technology in movement disorders: patients` points of view and expectations 6. Technology in movement disorders: medical professionals` points of view and expectations 7. Which technology is available, what is in the pipeline? 8. Novel analysis approaches
Part 3: Technology in movement disorders: detecting disease, measuring progression and determining response to treatment 9. Technologies for Diagnosis of Parkinson's disease 10. Technologies for monitoring of Parkinson's disease 11. Technologies for management of other movement disorders (chorea, dystonia, gait disorders, etc)
Part 4: Technology in movement disorders: Treatment 12. Assistive technologies 13. Robotic technologies in movement disorders 14. Closed loop systems
Part 5: Challenges and future directions 15. The optimal digital health record: Implementation of technology 16. Challenges ahead: Harmonization of (digital) datasets, privacy and other ethical issues
Authors
Roongroj Bhidayasiri Chulalongkorn Comprehensive Movement Disorders Center, Chulalongkorn University Hospital, Bangkok, Thailand.Professor Bhidayasiri graduated in medicine from Chulalongkorn University, Thailand, in 1993, receiving membership of the Royal College of Physicians of London and Ireland in 1998 and certified by the American Board of Psychiatry and Neurology in 2005. He was awarded the fellowship of the Royal College of Physicians of London in 2008 and the Royal College of Physicians of Ireland in 2010.
Professor Bhidayasiri established the Chulalongkorn Centre of Excellence for Parkinson's Disease, the tertiary care centre affiliated with Chulalongkorn University, providing multidisciplinary care for patients with PD, tremor, dystonia, and various forms of movement disorders in Thailand. His research interests are in data science and technology-based objective assessment, with several of the devices he has developed with his team adopted for clinical use, including a diagnostic tremor algorithm, a nocturnal device for monitoring nocturnal hypokinesia, a tremor suppression glove, a PD shoe, and a PD anti-choking mug. Importantly, adjustable laser-guided walking stick has been taken on nationwide by the Ministry of Social Development and Human Security of Thailand for patients with freezing of gait, with established cost-effectiveness. He is currently working with various stakeholders to implement national digital screening for PD, and nationwide lifestyle preventive strategies focusing on the mantra "Eat, Move, Sleep�.
Professor Bhidayasiri serves as the Specialty Chief Editor for the section Neurotechnology in Frontiers in Neurology and Associate Editor of Journal of Parkinson's Disease. He published the first American Academy of Neurology practice parameters for tardive syndromes with Stan Fahn, and also three international textbooks, with his first "Neurological Differential Diagnosis�, being one of the best-selling neurological textbooks on amazon.com in 2005. A Lancet review called it "a pearl of a book for any clinician who is asked to assess patients with symptoms and signs, suggestive of neurological disorders�. The other two books are International Neurology (endorsed by the World Federation of Neurology), and Movement Disorders: A Video Atlas. In addition, he has authored over 230 peer-reviewed publications and has filed 17 patent and petty-patent applications on algorithms, wearable sensors, and assistive devices.
Professor Bhidayasiri has received both a National Distinguished Researcher in Medical Sciences Award and the President's Distinguished Service Award from the MDS in 2015, and a Leader in Innovation Fellowship Award from the Royal Academy of Engineering (UK) in 2016. He is also a member of the Academy of Science of the Royal Society of Thailand, a past chair of the Asian-Oceanian section of the International Parkinson and Movement Disorder Society (MDS-AOS) and currently an international executive committee member of the MDS.
Walter Maetzler Full Professor for neurogeriatrics and Deputy Director of the neurology department of the University Hospital in Kiel, Germany.. Prof. Maetzler, Full Professor for neurogeriatrics and Deputy Director of the neurology department of the University Hospital in Kiel, Germany. His main clinical interest is Parkinson's disease and other neurological disorders associated with functionally relevant movement and cognitive disabilities. He leads a research group focusing on the analysis and validation of mobile sensor technology in supervised ("lab- or clinic-based�) and unsupervised ("home-based, daily life�) assessments of older adults and neurodegenerative diseases. He is involved as principal investigator, chief clinical investigator and work package leader in multiple international projects investigating the potential of mobile sensor technology to improve our understanding of disease progression and treatment response in chronic conditions, such as Parkinson's disease. Currently, he serves as the co-chair of the technology task force of the Movement Disorders Society and as an advisory board member of the Critical Path for Parkinson's (CPP) Consortium.He has co-authored about 300 articles in international peer-review journals and is Chief Editor of Neurogeriatrie - ICF-basierte Diagnose und Behandlung (https://www.springer.com/de/book/9783662573570) and Associate Editor of the Journal Geriatric Care.
