Study of various data compression techniques used in lossless compression of ECG signals

Tripathi, R. P.; Mishra, G. R.

doi:10.1109/ccaa.2017.8229958

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…The general steps of data compression and decompression are shown in Figure 1. The compression process mainly includes three steps: transform coding [1][2][3], quantization, and entropy coding [4][5][6][7] or dictionary compression [8,9]. The decompression process mainly includes three steps: entropy decoding or dictionary decompression, inverse quantization, and inverse transform.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Lossless Compression Method for Periodic Signals Based on Adaptive Dictionary Predictive Coding

et al. 2020

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This paper reports on an efficient lossless compression method for periodic signals based on adaptive dictionary predictive coding. Some previous methods for data compression, such as difference pulse coding (DPCM), discrete cosine transform (DCT), lifting wavelet transform (LWT) and KL transform (KLT), lack a suitable transformation method to make these data less redundant and better compressed. A new predictive coding approach, basing on the adaptive dictionary, is proposed to improve the compression ratio of the periodic signal. The main criterion of lossless compression is the compression ratio (CR). In order to verify the effectiveness of the adaptive dictionary predictive coding for periodic signal compression, different transform coding technologies, including DPCM, 2-D DCT, and 2-D LWT, are compared. The results obtained prove that the adaptive dictionary predictive coding can effectively improve data compression efficiency compared with traditional transform coding technology.

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Section: Introductionmentioning

confidence: 99%

“…Sci. 2020, 10, 4918 8 of 14 (1) The first set of data is a periodic signal that changes period and amplitude with time to verify the feasibility of a lossless compression system. (2) The second set of data is a periodic signal with a period T = 200 and a signal length of L = 10 K.…”

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confidence: 99%

An Efficient Lossless Compression Method for Periodic Signals Based on Adaptive Dictionary Predictive Coding

et al. 2020

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“…Since various wireless and wearable devices for ECG signals have been developed, therefore round the clock monitoring of patients has become an easy task. Round the clock monitoring of a patient requires analysis of a large number of data in order to classify the cardiac abnormalities [2]. To fulfil these requirements different wearable devices has been equipped with capability of analysing the data [3].…”

Section: Introductionmentioning

confidence: 99%