VLSI Implementation of ECG Compression Algorithm Using Golomb Rice Coding

Tsung Han Tsai, Muhammad Awais Hussain, Ping Zen Hao

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

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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主出版物標題2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(列印)9781538663011
DOIs
出版狀態已出版 - 27 8月 2018
事件5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, Taiwan
持續時間: 19 5月 201821 5月 2018

出版系列

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

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???event.eventtypes.event.conference???5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
國家/地區Taiwan
城市Taichung
期間19/05/1821/05/18

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