Back close

Sparse Encoding Algorithm for Real Time ECG Compression

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

Admissions Apply Now