iosr-JVSP   Volume-7 ~ Issue-6 ~ Nov-Dec 2017

ABSTRACT: Analyzing the characteristics of an ECG signal plays a vital role in the detection of various Cardiovascular Diseases (CVDs). However the analysis of ECG signal is not a simple task. In this paper a broad survey is carried out over various approaches focused to analyze the characteristics of ECG signal to perform automatic Cardiac Arrhythmia detection. Initially, the details of ECG acquisition, Characteristics of ECG and the possible arrhythmias based on the abnormalities in the ECG signal are discussed. Based on the step by step execution of the system model, all the approaches are classified as preprocessing approaches, feature extraction approaches and classification approaches..........

 

Keywords: ECG, Cardiovascular Diseases, Cardiac Arrhythmia, Feature Extraction, MIT-BIH.

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ABSTRACT: To analyze the performance of orthogonal wavelet filters for image compression on variety of test images. The test images are of different size and resolution. The compression performance is measured, objectively peak signal to noise ratio and subjectively visual quality of image and it is found that orthogonal wavelets outperform. Under normal conditions, the DWT provides near perfect performance, but in situations requiring the transmission of images across noisy or bandwidth-limited channels, the performance of the wavelet algorithm may be improved by redefining the wavelet filter using an optimization algorithm. The discrete wavelet transform has a huge number of applications in science, engineering, mathematics and computer science. In numerical........

 

Keywords: Daubechies filter, DWT, MSC, PSNR, Compression Ratio

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