VLSI Implementation of Multi-Channel ECG Lossless Compression System

Tsung Han Tsai, Nai Chieh Tung, Ding Bang Lin

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Electrocardiogram (ECG) is used to record the electrical activity of heart. If the instrument monitoring the signal for a long time, it will produce large amount of data. So, the effective lossless ECG compression system can help to reduce the storage space. This brief presents a hardware architecture of multi-channel lossless ECG compression system. The system is based on the algorithm including multi-channel linear prediction and adaptive linear prediction. Also, Golomb rice code (GRC) is used for entropy coding. The hardware implementation has been designed with low hardware complexity usage while using optimum hardware resources. And the architecture can process multiple channels in parallel that can obtain the high throughput. PTB database has been used for verification and testing purposes. This design was implemented in TSMC 180nm. The implementation results show the gate count is 476K and power consumption is 69.18{W} while working frequency is 1 KHz.

Original languageEnglish
Article number9399164
Pages (from-to)2962-2966
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume68
Issue number8
DOIs
StatePublished - Aug 2021

Keywords

  • ECG compression
  • Golomb rice Code
  • Hardware

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