Abstract-During the past ten years, a great interest in the research of metamaterials has been observed. Metamaterials are artificially invented materials that show the properties which are not detected in naturally occurring materials. Metamaterials exhibits negative permittivity and/ or negative permeability. This paper presents a review of different types of metamaterials, their own unique properties and advantages. Keywords-Metamaterials(MTM),

Electrocardiogram (ECG) is used to record the electrical activity of the heart. The ECG signal being nonstationary in nature, makes the analysis and interpretation of the signal very difficult. Hence accurate analysis of ECG signal with a powerful tool like discrete wavelet transform (DWT) becomes imperative. In this paper, ECG signal is denoised to remove the artifacts and analyzed using Wavelet Transform to detect the QRS complex and arrhythmia. This work is implemented in MATLAB software for MIT/BIH Arrhythmia database and yields the sensitivity of 99.85 %, positive predictivity of 99.92 % and detection error rate of 0.221 % with wavelet transform. It is also inferred that DWT outperforms principle component analysis technique in detection of ECG signal.

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