Key result
A physiological data fusion model called Prognosis, based on fuzzy regular language and stochastic Petri nets, was proposed for wearable health-monitoring systems to estimate patient health states.
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WHMSs may enable proactive personal health management; leaves open need for clinical validation in real scenarios.
The paper proposes a novel physiological data fusion model and human-device interaction model for wearable health-monitoring systems to enable proactive personal health management.
Pantelopoulos et al. (2010) studied this question. Prognosis (physiological data fusion model for multisensor WHMS) was evaluated. A physiological data fusion model called Prognosis, based on fuzzy regular language and stochastic Petri nets, was proposed for wearable health-monitoring systems to estimate patient health states.
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