A Contemporary Approach for ECG Signal Compression Using Wavelet Transforms
Signal compression is an important problem encountered in many applications. Various techniques have been proposed over the years for addressing the problem. In this project transform based signal compression is proposed. This method is used to exploit the redundancy in the signal. This paper uses Wavelet Transform to compress the signals. The authors compare the two existing wavelet methods with the proposed algorithm to determine which of them has better Compression Ratio (CR) and Percent Root mean square Difference (PRD). The proposed method is significantly more efficient in compression, computation and it can attain exact bit rate control and generate bit streams progressive in quality. In order to assess the performance of the algorithm the data sequences are taken from MIT-BIH and AHA arrhythmia database.