Volume 4, Issue 9, 2014

By | August 11, 2018

Discrete Wavelet Transform Based Algorithm for Recognition of QRS Complexes

Rachid HADDADI, Elhassane ABDELMOUNIM, Mustapha EL HANINE, Univ. Hassan I, ASTI Laboratory, 26000 Settat, Morocco
Abdelaziz BELAGUID, University Mohammed V-Souissi, Laboratory of Physiology, Rabat, Morocco.

Abstract – this paper proposes the application of Discrete Wavelet Transform (DWT) to detect the QRS (ECG is characterized by a recurrent wave sequence of P, QRS and T-wave) of an electrocardiogram (ECG) signal. Wavelet Transform provides localization in both time and frequency. In preprocessing stage, DWT is used to remove the baseline wander in the ECG signal. The performance of the algorithm of QRS detection is evaluated against the standard MIT BIH (Massachusetts Institute of Technology, Beth Israel Hospital) Arrhythmia database. The average QRS complexes detection rate of 98.1 % is achieved.

Keywords- Detection; ECG; DWT; QRS complexes; MIT BIH.

Analysis of Performance Parameters in Wireless Networks by using Game Theory for the non Cooperative Slotted Aloha Enhanced by ZigZag Decoding Mechanism

Abdellah ZAALOUL, Computer, Networks, Mobility and Modeling laboratory FST, Hassan 1st University, Settat, Morocco.
Abdelkrim HAQIQ, e-NGN research group, Africa and Middle East.

Abstract – In wireless communication networks, when the workload increases, sources become more aggressive at the equilibrium in the game setting in comparison with the team problem by using slotted Aloha mechanism. Consequently, more packets are in collision and are lost. To reduce these phenomena and to enhance the performance of the networks, we propose to combine ZigZag decoding approach with non cooperative slotted Aloha mechanism. This approach was introduced in our previous work based on the cooperative slotted Aloha mechanism. The obtained results showed that this approach has significantly improved the cooperative slotted Aloha mechanism and gave best results for the throughput and delay.
In this paper, we analyze the impact of combining non cooperative slotted Aloha and ZigZag Decoding. We model the system by a two dimensional Markov chain that integrates the effect of ZigZag decoding. The states of the Markov chain describe the number of backlogged packets among the users. We use a stochastic game to achieve our objective; we evaluate and compare the performances parameters of the proposed approach with those of a simple slotted Aloha mechanism. All found results show that our approach improves the performance parameters of the system.

Keywords- Non Cooperative Slotted Aloha; Markov Process; MAC Protocol; ZigZag Decoding; Performance Metrics.

 

 

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