Parkinson's Disease Management through ICT: The REMPARK Approach

Parkinson’s Disease  Management through ICT_ The REMPARK Approach.jpg

Dublin Core

Title

Parkinson's Disease Management through ICT: The REMPARK Approach

Subject

Bioscience

Description

Parkinson's Disease (PD) is a neurodegenerative disorder that manifests with motor and non-motor symptoms. PD treatment is symptomatic and tries to alleviate the associated symptoms through an adjustment of the medication. As the disease is evolving and this evolution is patient specific, it could be very difficult to properly manage the disease.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. 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 algorithmics, 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.

Creator

Editor: Joan Cabestany
Editor: Angels Bayes

Source

https://www.taylorfrancis.com/books/oa-edit/10.1201/9781003339038/parkinson-disease-management-ict-angels-bayes-joan-cabestany?context=ubx&refId=2947bd0c-9b66-45dd-9acf-676d830841a7

Publisher

River Publishers

Date

2022

Contributor

Andri Yanti

Rights

Creative Commons,
CC BY-NC

Format

Pdf

Language

English

Identifier

https://doi.org/10.1201/9781003339038

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