Help4Mood personal monitoring system: management of interoperatibilty in a wireless home for mental health treatment
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Data publicació2012
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Abstract
Help4Mood is a project inside 7th European Framework Programme (FP7) for developing a computational distributed
system to support remotely the treatment of patients with major depression at home. Core components are integrated with
the ICE framework. One of the main goals of this system is to use the paradigm of a Virtual Agent to support the first
symptoms of clinician alert of a patient, to interact with him an to prevent some causes of relapse after monitoring he/she
with different sensors. The system processes inputs from different devices for monitoring patient activity at home and
how he/she sleeps (also know as the Personal Monitoring System), transmitting this data to a Decision Support System,
and defining how a Virtual Agent should interact with the patient before clinical support from hospital is needed if an
alert is detected. This data is transmitted by a wireless network designed to improve data communication from sensors in
a home environment (easy of installation and maintenance) and implemented using customized protocols and algorithms
for reducing power consumption of these sensors. The technical framework is using open source implementations of ICE
and HL7-standard-based healthcare integration engines to interact with the different subsystems. Particularly, the use of
these standards will contribute to commercialization of the project results and the potential impact through the
development, dissemination and use.
CitacióCastro, J.C. [et al.]. Help4Mood personal monitoring system: management of interoperatibilty in a wireless home for mental health treatment. A: IADIS Multi Conference on Computer Science and Information Systems. "Proceedings of the IADIS International Conferences on e-Health 2012". Lisboa: 2012, p. 139-145.
ISBN978-972-8939-70-0
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