Improving the performance of electrocardiogram sub-band coder by extensive Markov system

研究成果: Article同行評審

8 引文 斯高帕斯(Scopus)


The paper reports on a continuation of previous work on the digital coding of 500 samples s-1 ECG at 240 bits s-1. Focus is on six-band sub-band coding (SBC) with extensive Markov system as post-processors for each sub-band signal. An extensive Markov process, which considers both the coding redundancy and the intersample redundancy, utilises the redundancies by predicting the incoming n samples based on the previous m samples that constitute an extensive Markov process state. Both the previous m samples and the incoming n samples are considered as extension codes of the quantisation levels. Simulation results show that a reproduction with an averge of signals ratio (SNR) of 27.21 dB or peak SNR of 58.6 dB was achieved at an average bit rate of 0.48 bit per sample, which corresponds to an average compression ratio of 25, whereas under the same signal fidelity, the previous proposed SBC system achieved an average bit rate of 0.714 bit per sample.

頁(從 - 到)471-475
期刊Medical & Biological Engineering & Computing
出版狀態Published - 1995 五月 1

All Science Journal Classification (ASJC) codes

  • 生物醫學工程
  • 電腦科學應用


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