[PDF][PDF] Monitoramento inteligente e sensível ao contexto na assistência domiciliar telemonitorada
Anais do XXVIII Congresso da SBC-SEMISH, 2008•sbc.org.br
We propose a framework for ubiquitous and intelligent health monitoring of a person at
home (remote assisted living). In this context, ubiquitous computing has an important role,
because new classes of variables can be treated. The proposed solution integrates medical
knowledge, environmental conditions, and physiological and behavioral data of the patient.
The relevant modules of the framework are intended for managing context, reasoning, and
learning. A fuzzy logic model with rules based on medical recommendations allows to …
home (remote assisted living). In this context, ubiquitous computing has an important role,
because new classes of variables can be treated. The proposed solution integrates medical
knowledge, environmental conditions, and physiological and behavioral data of the patient.
The relevant modules of the framework are intended for managing context, reasoning, and
learning. A fuzzy logic model with rules based on medical recommendations allows to …
Abstract
We propose a framework for ubiquitous and intelligent health monitoring of a person at home (remote assisted living). In this context, ubiquitous computing has an important role, because new classes of variables can be treated. The proposed solution integrates medical knowledge, environmental conditions, and physiological and behavioral data of the patient. The relevant modules of the framework are intended for managing context, reasoning, and learning. A fuzzy logic model with rules based on medical recommendations allows to analyse and identify critical situations of the patient. A prototype for monitoring blood pressure illustrates the use of the proposed model.
Resumo. Neste trabalho propomos um arcabouço para monitoramento ubıquo e inteligente da saúde de uma pessoa em casa (remote assisted living). Nesse contexto, a computaçao ubıqua tem papel relevante, pois novas classes de variáveis podem ser tratadas. A soluçao proposta integra conhecimentos médicos, condiçoes ambientais, dados fisiológicos e comportamentais do paciente. O arcabouço tem como elementos relevantes módulos de gerenciamento de contexto, raciocınio e aprendizagem. Um modelo em lógica difusa e regras baseadas em recomendaç oes médicas permitem analisar e identificar situaç oes crıticas do paciente. Um protótipo de monitoramento da pressao arterial ilustra a utilizaç ao do modelo proposto.
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