Literature DB >> 1857123

SLOPE--a real-time ECG data compressor.

S C Tai1.   

Abstract

An ECG sampled at a rate of 250 samples s-1 or more produces a large amount of redundant data that are difficult to store and transmit. In the paper, a real-time ECG data compressor, SLOPE, is presented. SLOPE considers some adjacent samples as a vector, and this vector is extended if the coming sample falls in a fan spanned by this vector and a threshold angle; otherwise, it is delimited as a linear segment. By this means SLOPE repeatedly delimits linear segments of different lengths and different slopes. The Huffman codes for the parameters to describe this linear segment are transmitted for that linear segment. SLOPEa, which is a slightly modified version of SLOPE, is used to compress ambulatory ECG data. All the operations used by SLOPE and SLOPEa are simple integer operations, both SLOPE and SLOPEa being real-time compressors. Experimental results show that an average of 192 bits per channel per second (bpcs) for each ECG signal is obtained by SLOPE and an average of 148 bpcs for each ECG signal is obtained by SLOPEa.

Mesh:

Year:  1991        PMID: 1857123     DOI: 10.1007/bf02447104

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  9 in total

1.  Online digital filters for biological signals: some fast designs for a small computer.

Authors:  P A Lynn
Journal:  Med Biol Eng Comput       Date:  1977-09       Impact factor: 2.602

Review 2.  Adaptive sampling of cardiac waveforms.

Authors:  R C Barr
Journal:  J Electrocardiol       Date:  1988       Impact factor: 1.438

3.  Data compression applied to dynamic electrocardiography.

Authors:  M Bertinelli; A Catelli; C Combi; F Pinciroli
Journal:  Med Biol Eng Comput       Date:  1989-01       Impact factor: 2.602

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Authors:  T P Taylor; P W Macfarlane
Journal:  Med Biol Eng       Date:  1974-07

5.  AZTEC, a preprocessing program for real-time ECG rhythm analysis.

Authors:  J R Cox; F M Nolle; H A Fozzard; G C Oliver
Journal:  IEEE Trans Biomed Eng       Date:  1968-04       Impact factor: 4.538

6.  Compression of the ECG by prediction or interpolation and entropy encoding.

Authors:  U E Ruttimann; H V Pipberger
Journal:  IEEE Trans Biomed Eng       Date:  1979-11       Impact factor: 4.538

7.  Scan-along polygonal approximation for data compression of electrocardiograms.

Authors:  M Ishijima; S B Shin; G H Hostetter; J Sklansky
Journal:  IEEE Trans Biomed Eng       Date:  1983-11       Impact factor: 4.538

Review 8.  Software QRS detection in ambulatory monitoring--a review.

Authors:  O Pahlm; L Sórnmo
Journal:  Med Biol Eng Comput       Date:  1984-07       Impact factor: 2.602

9.  Subtraction of 50 Hz interference from the electrocardiogram.

Authors:  C Levkov; G Michov; R Ivanov; I K Daskalov
Journal:  Med Biol Eng Comput       Date:  1984-07       Impact factor: 2.602

  9 in total
  2 in total

1.  ECG data compression by corner detection.

Authors:  S C Tai
Journal:  Med Biol Eng Comput       Date:  1992-11       Impact factor: 2.602

2.  Optimisation algorithms for ECG data compression.

Authors:  D Haugland; J G Heber; J H Husøy
Journal:  Med Biol Eng Comput       Date:  1997-07       Impact factor: 2.602

  2 in total

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