VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding

Tsung Han Tsai; Muhammad Awais Hussain; Ping Zen Hao

doi:10.1109/ICCE-China.2018.8448939

VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding

Tsung Han Tsai, Muhammad Awais Hussain, Ping Zen Hao

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

A lossless electrocardiogram compression algorithm has been implemented in VLSI circuit design. This structure is based on memory-less model i.e. No RAM is being used in the design. Adaptive linear prediction has been combined with Golomb Rice coding to achieve the lossless data compression. Overall compression ratio for MIT-BIH Arrhythmia database is 3. The design has been synthesized using TSMC 0.18mum technology. The implementation results show high working speed with low power while working at the processing speed of 90 MHz.

Original language	English
Title of host publication	2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538663011
DOIs	https://doi.org/10.1109/ICCE-China.2018.8448939
State	Published - 27 Aug 2018
Event	5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, Taiwan Duration: 19 May 2018 → 21 May 2018

Publication series

Name	2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

Conference

Conference	5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
Country/Territory	Taiwan
City	Taichung
Period	19/05/18 → 21/05/18

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10.1109/ICCE-China.2018.8448939

Cite this

Tsai, T. H., Hussain, M. A., & Hao, P. Z. (2018). VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding. In 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 Article 8448939 (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2018.8448939

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title = "VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding",

abstract = "A lossless electrocardiogram compression algorithm has been implemented in VLSI circuit design. This structure is based on memory-less model i.e. No RAM is being used in the design. Adaptive linear prediction has been combined with Golomb Rice coding to achieve the lossless data compression. Overall compression ratio for MIT-BIH Arrhythmia database is 3. The design has been synthesized using TSMC 0.18mum technology. The implementation results show high working speed with low power while working at the processing speed of 90 MHz.",

author = "Tsai, {Tsung Han} and Hussain, {Muhammad Awais} and Hao, {Ping Zen}",

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Tsai, TH, Hussain, MA & Hao, PZ 2018, VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding. in 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018., 8448939, 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018, Institute of Electrical and Electronics Engineers Inc., 5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018, Taichung, Taiwan, 19/05/18. https://doi.org/10.1109/ICCE-China.2018.8448939

VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding. / Tsai, Tsung Han; Hussain, Muhammad Awais; Hao, Ping Zen.
2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8448939 (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - A lossless electrocardiogram compression algorithm has been implemented in VLSI circuit design. This structure is based on memory-less model i.e. No RAM is being used in the design. Adaptive linear prediction has been combined with Golomb Rice coding to achieve the lossless data compression. Overall compression ratio for MIT-BIH Arrhythmia database is 3. The design has been synthesized using TSMC 0.18mum technology. The implementation results show high working speed with low power while working at the processing speed of 90 MHz.

AB - A lossless electrocardiogram compression algorithm has been implemented in VLSI circuit design. This structure is based on memory-less model i.e. No RAM is being used in the design. Adaptive linear prediction has been combined with Golomb Rice coding to achieve the lossless data compression. Overall compression ratio for MIT-BIH Arrhythmia database is 3. The design has been synthesized using TSMC 0.18mum technology. The implementation results show high working speed with low power while working at the processing speed of 90 MHz.

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SN - 9781538663011

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

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Tsai TH, Hussain MA, Hao PZ. VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding. In 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8448939. (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018). doi: 10.1109/ICCE-China.2018.8448939

VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding

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