Handbook of Digital Technologies in Movement Disorders

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.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.

"...a clearly written and strikingly attractive text with detailed explanations of the practical applications of using sensors for people with movement disorders and the science underlying and their use. The text is detailed and technical but also easy to understand, and the figures are plentiful and useful. The purpose of this book is to provide descriptions of sensor technologies and their applications to the study of people with movement disorders as well as the science underlying their use.... [It] is accessible, understandable, and useful for professionals who work with people with movement disorders and for scientists who are studying their movements.... This superb book provides a unique and useful training experience and reference for any practitioner of movement disorder rehabilitation who is using or considering using digital technologies for assessment or treatment, and for scientists involved in studies on the topic, unlike any other text." ©Doody's Book Review Service, 2025, Elliot J Roth, MD (Shirley Ryan AbilityLab)

• Part 1: Digital technology: The primer1. Digital technology: A multifacet discipline2. Understanding medical and technical terminologies3. Potential role of digital technologies in the management of PD: Unmet needs for diagnosis, monitoring and treatment4. Parkinson’s disease and other movement disorders for technologistsPart 2: Different stakeholders` perspectives on technology in movement disorders5. Technology in movement disorders: patients` points of view and expectations6. Technology in movement disorders: medical professionals` points of view and expectations7. Which technology is available, what is in the pipeline?8. Novel analysis approachesPart 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 systemsPart 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