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This paper focuses on developing a novel approach to automatic sleep stage classification based on electroencephalographic (EEG) data. The proposed methodology employs contemporary mathematical tools such as the synchronization likelihood and graph theory metrics applied on sleep EEG data. The derived features are then fitted into three different machine learning techniques, namely k-nearest neighbors,...
This paper deals with the performance analysis of three different medium access techniques, namely contention-based, scheduled and polling-based access, utilized in a simple implementation of the wireless body area network (WBAN) IEEE 802.15.6 standard. Their comparison is focused on the trade-offs between polling and scheduled access, in terms of throughput, latency and energy consumption, and reveals...
This paper deals with the performance assessment of the wireless body area network (WBAN) standards proposed by the institute of electrical and electronics engineers (IEEE), namely IEEE 802.15.4 and IEEE 802.15.6, emphasizing on the different carrier sensing multiple access/collision avoidance (CSMA/CA) mechanisms. By comparing the different proposals, we provide an engineering insight, which elaborates...
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