Publication Type : Conference Paper
Publisher : Springer
Source : Proceedings of ISSIP 2017, Kolkata, India
Url : https://link.springer.com/chapter/10.1007/978-981-10-8863-6_4
Campus : Amritapuri
School : School of Computing
Year : 2017
Abstract : In this paper, we propose a sparse encoding algorithm consisting of two schemes namely geometry-based method (GBM) and the wavelet transform-based iterative thresholding (WTIT). The sub-algorithm GBM reduces the minimal ECG voltage values to zero level. Subsequently, WTIT encodes the ECG signal in time-frequency domain, obtaining high sparsity levels. Compressed Row Huffman Coding (CRHC) algorithm converts the sparse matrices into compressed, transmittable matrices. The performance of the algorithms is validated in terms of compression ratio (CR), percentage RMS difference (PRD), and time complexity.
Cite this Research Publication : R. Basu Roy, A. Roy, A. Mukherjee, A. Ghosh, S. Bhattacharyya and M. K. Naskar, “Sparse Encoding Algorithm for Real Time ECG Compression”, Proceedings of ISSIP 2017, Kolkata, India