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—Optimizing performance of wireless sensor networks leads to trade-offs between local computation and communication. With the usage of on-node processing, the lifetime of the sensor nodes can be extended as raw data does not need to be sent out and logged by an external device. In this paper we present our approach for on-node processing of ECG signals to(More)
For people suffering from nocturnal epileptic seizures it is crucial to have a system that can detect such seizures in real-time. In this paper, we present a preclinical demonstrator for real-time detection of nocturnal seizures based on the heart rate. The system is built on the VITRUVIUS body sensor platform, which consists of a body hub (a smart phone)(More)
—In this paper we present a complete approach to programming sensor networks 1. The main contribution concerns the separation of three abstraction levels, viz., application level, network level and node level, leaving more room for standardization than with current practices. In addition we propose to program the network from an overall perspective rather(More)
BACKGROUND, AIM AND SCOPE European legislation stipulates that genetically modified organisms (GMO) have to be monitored to identify potential adverse environmental effects. A wealth of different types of monitoring data from various sources including existing environmental monitoring programmes is expected to accumulate. This requires an information system(More)
Body Sensor Networks (BSNs) are used for diverse applications ranging from monitoring for medical purposes, sport coaching to computer gaming. This leads to viewing the BSN as an application platform and requires the capability to dynamically extend and configure BSN applications, including reprogramming the sensor nodes of the BSN. We propose a trust(More)