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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.
List of contents
Preface
Alvaro Sanchez Ferro and Mariana Hernandez Gonzalez-Monje 1. Applications of artificial intelligence in movement disorders, in the pursuit of personalized healthcareJorge Cancela, Ernst Bos, Jaclyn Loushine, Dario Motti and Foteini Orfaniotou 2. Machine learning basic concepts for the movement disorders specialistElina L. van den Brandhof, A.M. Madelein van der Stouwe, Jelle R. Dalenberg, Inge Tuitert, Marina A.J. Tijssen and Michael Biehl 3. Digital biomarkers in movement disordersDaniele Urso, Daniel J van Wamelen, Dhaval Trivedi, K Ray Chaudhuri and Cristian Falup-Pecurariu 4. Basic concept of sensors for movement disorders specialistsRaquel Bouça-Machado, Linda Azevedo Kauppila, Tiago Guerreiro and Joaquim J Ferreira 5. Wearable systems in movement disordersEdoardo Bianchini and Walter Maetzler 6. Digital gait and balance measuresFay B. Horak, Vrutangkumar Shah and Martina Mancini 7. The challenges and opportunities for remotely evaluating movement disordersRochester Lynn, Del Din Silvia, Hu Michele T, Morgan Catherine and Carroll Camille 8. eCOA, ePROs and other digital health solutions in movement disordersSylvie Grosjean and Tiago A. Mestre 9. Telemedicine in movement disordersEsther Cubo 10. Video and optoelectronics in movement disordersCristina Caro and Norberto Malpica 11. Therapeutic applications and technical developments of focused ultrasound for movement disordersJorge U. Máñez-Miró, Elena Natera-Villalba and Raúl Martínez-Fernández GlossaryAlvaro Sanchez Ferro and Mariana Hernandez Gonzalez-Monje
About the author
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.
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).
