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Design of an EEG-based transceiver with data decomposition for IoHT applications

Recently the importance of the Internet of Things (IoT) has opened up the possibility of developing new applications related to mobile-Health. These include real-time monitoring of various physiological data such as EEG and ECG. Due to the complexity of remote monitoring applications, the need for continuous sensing is often overwhelming. This causes data processing to consume a large amount of energy. This research work introduces a data specific transceiver design, which takes the advantage of physical layer data collection characteristics. The proposed design shows excellent performance in terms of low complexity and signal distortion with high data gain.