Distributed Cooperative Sensing Scheme for Wireless Sleep EEG Measurement

The electroencephalogram (EEG) signals reflect local potential changes that occur on pyramidal cells. Based on the received signals, epileptic seizure and sleep patterns can be monitored and diagnosed. This paper proposes a distributed sensing method using cooperative communication and networking between a pair of sensors for wireless sleep EEG signal collection. The proposed scheme is applied to mitigate signal degradation attributed to the clock synchronization problem and wireless channel effects such that good wireless signal quality for stage classification can be achieved. The wireless measurement performance is investigated through 40 real epoch cases. The results show that the segmentation accuracy is 47.5% (without the proposed scheme) and 72.5% (with the proposed scheme) in McNemar test with the value p=0.013, which suggest that the proposed approach may provide a sensible way to collect more precise EEG measurements for signal segmentation in the wireless environment.