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Wireless Sensors and Actors Networks (WSANs) emphasize the necessity of accurate event detection in order to achieve ubiquitous monitoring in realistic environments and perform appropriate actions on them. One of the most significant applications is health monitoring. This paper is aiming to propose a fuzzy logic system based on multi-sensor vital and environmental data, in order to detect distress situations. Also, a data accuracy fuzzy system is presented in order to estimate the network confidence. Both systems have been evaluated in order to demonstrate their validity and usefulness. The outputs of the aforementioned systems are associated so as to trigger the optimal acting tasks. The proposed data fusion scheme aims at improving the reliability of the system and can be adaptively modified and further enhanced in terms of more sensor readings, number of rules etc.