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Secure communications in wireless networks for biomedical EEG sensor networks applications.

Abstract : The general framework of the thesis concerns sensor networks and the privacy protocols for wireless communications in the implementation of reliable healthcare systems. More precisely, it presents a novel biomedical wireless sensor Network monitoring system, as a predictor and advance sensitive portable electroencephalogram (EEG). The EEG wireless sensor network proposed to monitor spontaneous brain waves, including normal and abnormal waves, for the patients suffering from different types of epilepsy. The biomedical epilepsy wireless sensor Network monitoring system (WSN-EEG) read’s signals from a wireless sensor network on the patient scalp, and filter these signals to run parallel data processing for the brain waves. However, the predicting procedure for the severity of the forthcoming epileptic attack based on, a proposed mathematical model, which analyses the abnormality in the brain waves and alerts by giving signals for the patient. This method can save many patients by predicting the seizure before it occurs and helps them from different injuries and risky behavior arising during epilepsy attack. In addition, the proposed approaches can use the patient data for further medical diagnosis measures. Another approach is proposed as a learning-based approach for prediction using Feed Forward Neural Network (FFNN) for the alert system. The research used the IEEE802.11n as a communication method for the wireless sensor networks and measure the IEEE802.11n security performances as privacy protocol for data transmission of the proposed systems. The measurements indicated the calibration of the prediction algorithms to take account of the delays introduced by the security of the communications in the data transmission and seizure prediction which might significantly reduce prediction time and delay the alert signals.
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Submitted on : Monday, March 25, 2019 - 3:37:07 PM
Last modification on : Wednesday, September 16, 2020 - 10:42:50 AM
Long-term archiving on: : Wednesday, June 26, 2019 - 3:29:08 PM


Version validated by the jury (STAR)


  • HAL Id : tel-02078749, version 1


Mohammad Saleh. Secure communications in wireless networks for biomedical EEG sensor networks applications.. Networking and Internet Architecture [cs.NI]. Université Bourgogne Franche-Comté, 2018. English. ⟨NNT : 2018UBFCA024⟩. ⟨tel-02078749⟩



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