Performance analysis of embedded lossless wavelet based successive partition zero coder for ECG signal coding

Wavelets have emerged as powerful tools for signal coding. In this paper embedded lossless Wavelet based coder with hybrid bit scanning is used for ECG signal coding. Experimental results show that this algorithm outperforms than other coders such as Djohn, EZW, SPIHT, LJPEG etc exits in the literature in terms of coding efficiency by successive partitioned the wavelet coefficients in the space frequency domain and sent them using hybrid bit scanning. Since no zero tree exists this coder is significantly more efficient in compression, simple in implementation and in computation than the previously proposed coders. This algorithm is tested for thirty seven different records from MIT-BIH arrhythmia database and obtained an average percent root mean square difference as around 0.0502% to 3.5399% for an average compression ratio of 1.5:1 to 25.1429:1 and for an average bit rate of 2552.7bps to 254.5 bps. A compression ratio of 8.0688:1 is achieved for MIT-BIH arrhythmia database record 117 with a percent mean square difference as 0.5183% and bit rate as 909.8 bps using Bior6.8 wavelet. All clinical information is preserved after compression and this makes the algorithm an attractive choice for use in portable heart monitoring systems.