DocumentCode :
2312022
Title :
A Decision Support Service Platform for Neurodegenerative Disease Patients
Author :
Madani, Kambiz ; Lohi, Mahboubeh ; Lohi, Abdolkhalil
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Westminster, London, UK
fYear :
2010
fDate :
7-13 March 2010
Firstpage :
188
Lastpage :
191
Abstract :
The PERFORM project is funded under EC FP7 Program and aims to provide a platform for the remote health status monitoring, classification & modeling, and the personalisation treatment of patient suffering from Parkinson´s disease (PD) and Amyotrophic Lateral Sclerosis (ALS). The remote monitoring of neurodegenerative disease evolution is achieved via micro-sensors worn by the patients at home, forming a local network of specialised devices, which are in turn controlled by a Base Processing Unit (BPU) at patient´s home. The system uses advanced knowledge processing, fusion algorithms, & data mining techniques in order to provide Clinical Decision Support (CDS) for medics & specialist in neurodegenerative disease. This helps with the management & personalised control of the symptoms, for each individual patient, during the evolution of the disease.
Keywords :
decision support systems; microsensors; patient care; patient monitoring; patient treatment; PERFORM project; Parkinson disease; amyotrophic lateral sclerosis; base processing unit; clinical decision support; data mining; decision support service platform; fusion algorithms; knowledge processing; local network; microsensors; neurodegenerative disease evolution; neurodegenerative disease patients; patient personalisation treatment; remote health status monitoring; Decision support systems; Fingers; Hospitals; Medical control systems; Medical treatment; Parkinson´s disease; Patient monitoring; Pulse measurements; Remote monitoring; Testing; Distributed Communications Platform; Healthcare Decision Support System; Home Service Architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Services (ICNS), 2010 Sixth International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-5927-8
Type :
conf
DOI :
10.1109/ICNS.2010.69
Filename :
5460649
Link To Document :
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