Parkinson's Disease (PD) is a neurodegenerative disorder that manifests with motor and non-motor symptoms. PD treatment is symptomatic with the goal of alleviating associated symptoms through an adjustment of the medication. It is very difficult to properly manage the disease, because its evolution is patient specific. The current available technology (electronics, communication, computing, etc.), correctly combined with wearables, can be of great use for obtaining and processing useful information for both clinicians and patients allowing them to become actively involved in their condition. Parkinson's Disease Management through ICT: The REMPARK Approach presents the work done, main results, and conclusions of the REMPARK project (2011 – 2015) funded by the European Union under contract FP7-ICT-2011-7-287677. The REMPARK system was proposed and developed as a real Personal Health Device for the Remote and Autonomous Management of Parkinson’s Disease, composed of different levels of interaction with the patient, clinician, and carers, and integrating a set of interconnected sub-systems: sensor, auditory cueing, Smartphone, and server. The sensor subsystem, using embedded algorithms, is able to detect the motor symptoms associated with PD in real time. This information, sent through the Smartphone to the REMPARK server, is used for an efficient management of the disease. Implementation of REMPARK will increase the independence and quality of life of patients and improve their disease management, treatment, and rehabilitation.
|Series:||River Publishers Series in Biomedical Engineering Series|
|Product dimensions:||6.12(w) x 9.25(h) x (d)|
About the Author
Joan Cabestany is at Universitat Politècnica de Catalunya UPC, Barcelona, Spain.
Angels Bayes is with Uparkinson Teknon, Grupo Hospitalario Quirón, Barcelona, Spain.
Table of Contents
PrefaceParticipants in the project1. Parkinson's disease management: trends and challenges2. Objective symptoms detection3. The REMPARK system4. Assessment of motor symptoms5. Sensor subsystem6. User interaction7. Actuator subsystem ACS8. Disease Management subsystem9. REMPARK system assessment. Main results10. ConclusionsAuthor indexKeyword index