IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Empowering Patients in Self-Management of Parkinson's Disease Through Cooperative ICT Systems

Empowering Patients in Self-Management of Parkinson's Disease Through Cooperative ICT Systems
View Sample PDF
Author(s): Erika Rovini (Sant'Anna School of Advanced Studies, Italy), Dario Esposito (Sant'Anna School of Advanced Studies, Italy), Carlo Maremmani (Local health authority, Massa & Carrara, Italy), Paolo Bongioanni (Azienda Ospedaliero-Universitaria Pisana, NeuroCare onlus, Italy)and Filippo Cavallo (Sant'Anna School of Advanced Studies, Italy)
Copyright: 2018
Pages: 27
Source title: Wearable Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5484-4.ch028

Purchase

View Empowering Patients in Self-Management of Parkinson's Disease Through Cooperative ICT Systems on the publisher's website for pricing and purchasing information.

Abstract

The objective of this chapter is to demonstrate the technical feasibility and medical effectiveness of personalised services and care programmes for Parkinson's disease, based on the combination of mHealth applications, cooperative ICTs, cloud technologies and wearable integrated devices, which empower patients to manage their health and disease in cooperation with their formal and informal caregivers, and with professional medical staff across different care settings, such as hospital and home. The presented service revolves around the use of two wearable inertial sensors, i.e. SensFoot and SensHand, for measuring foot and hand performance in the MDS-UPDRS III motor exercises. The devices were tested in medical settings with eight patients, eight hyposmic subjects and eight healthy controls, and the results demonstrated that this approach allows quantitative metrics for objective evaluation to be measured, in order to identify pre-motor/pre-clinical diagnosis and to provide a complete service of tele-health with remote control provided by cloud technologies.

Related Content

Tahani R. K. Bsharat, Fariza Behak, Islam A. Ismail. © 2023. 10 pages.
Yousra Banoor Rajabalee. © 2023. 16 pages.
Dorothy Cooshna-Naik, Linda Van Laren, Claudia Mitchell. © 2023. 27 pages.
Gwendoline Laurissa Chan, Jack Whitehead. © 2023. 22 pages.
Zeynep Çetin Köroğlu, Erkan Yüce. © 2023. 19 pages.
Erkan Yüce, Zeynep Çetin Köroğlu. © 2023. 20 pages.
KS Sastry Musti, Harmony Kuitakwashe Musiyarira. © 2023. 24 pages.
Body Bottom