2014 International Conference on Communication and Signal Processing 2014
DOI: 10.1109/iccsp.2014.6949823
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A DPCM based Electrocardiogram coder with thresholding for real time telemonitoring applications

Abstract: This paper illustrates a DPCM based approach for real-time compression of ECG data for real time telemonitoring application. For real time implementation a 'frame' is considered with one original sample followed by 64 first difference elements. The coder compresses the non-QRS regions of an ECG data stream through stages of first difference, joint sign and magnitude coding, and run length encoding. A hard thresholding at the equipotential regions have been applied to enhance the RLE efficiency. For testing 10 … Show more

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Cited by 11 publications
(6 citation statements)
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“…In [23], system-onchip (SoC) implementation of Electrocardiogram compressor is proposed. System architecture of proposed SoC has been given in paper also using linear slope predictor and dynamic codingpackaging scheme [23] to frame the resulting error compression algorithm has been proposed. Total power consumption by Electrocardiogram-SoC is 535nW [23].…”
Section: Literature Surveymentioning
confidence: 99%
See 2 more Smart Citations
“…In [23], system-onchip (SoC) implementation of Electrocardiogram compressor is proposed. System architecture of proposed SoC has been given in paper also using linear slope predictor and dynamic codingpackaging scheme [23] to frame the resulting error compression algorithm has been proposed. Total power consumption by Electrocardiogram-SoC is 535nW [23].…”
Section: Literature Surveymentioning
confidence: 99%
“…System architecture of proposed SoC has been given in paper also using linear slope predictor and dynamic codingpackaging scheme [23] to frame the resulting error compression algorithm has been proposed. Total power consumption by Electrocardiogram-SoC is 535nW [23]. With proposed SoC using 0.35μm technology and total gate count of 2.26K, average 2.25x compression ratio is achieved [23].…”
Section: Literature Surveymentioning
confidence: 99%
See 1 more Smart Citation
“…Tsai, T proposed a multi-channel lossless ECG compression algorithm that uses exponentially weighted multi-channel linear prediction and adaptive Golomb-Rice coding [12]. Alam, S proposed a DPCM-based threshold data compression technology for real-time remote monitoring applications, which uses simple calculation and a high compression ratio [13]. Liu, B demonstrated a unified GAN based signal compression framework for image and speech signals [14].…”
Section: Introductionmentioning
confidence: 99%
“…The algorithm uses 64 samples in each frame and processes them one by one. Alam and Gupta (2014) proposed a differential pulse code modulation (DPCM)-based ECG coder which compresses the ECG signal without compression of QRS region. Sahoo et al (2015) proposed an algorithm which uses empirical mode decomposition, downsampling, DCT, window filtering and Huffman encoding.…”
Section: Introductionmentioning
confidence: 99%