VLSI Implementation of Multi-Channel ECG Lossless Compression System

Tsung Han Tsai; Nai Chieh Tung; Ding Bang Lin

doi:10.1109/TCSII.2021.3071757

VLSI Implementation of Multi-Channel ECG Lossless Compression System

Tsung Han Tsai, Nai Chieh Tung, Ding Bang Lin

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

9 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 language	English
Article number	9399164
Pages (from-to)	2962-2966
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	68
Issue number	8
DOIs	https://doi.org/10.1109/TCSII.2021.3071757
State	Published - Aug 2021

Keywords

ECG compression
Golomb rice Code
Hardware

Access to Document

10.1109/TCSII.2021.3071757

Cite this

@article{4ab398e69f1a4694befb3d5db1ae7269,

title = "VLSI Implementation of Multi-Channel ECG Lossless Compression System",

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.",

keywords = "ECG compression, Golomb rice Code, Hardware",

author = "Tsai, {Tsung Han} and Tung, {Nai Chieh} and Lin, {Ding Bang}",

note = "Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",

year = "2021",

month = aug,

doi = "10.1109/TCSII.2021.3071757",

language = "???core.languages.en_GB???",

volume = "68",

pages = "2962--2966",

journal = "IEEE Transactions on Circuits and Systems II: Express Briefs",

issn = "1549-7747",

number = "8",

}

TY - JOUR

T1 - VLSI Implementation of Multi-Channel ECG Lossless Compression System

AU - Tsai, Tsung Han

AU - Tung, Nai Chieh

AU - Lin, Ding Bang

PY - 2021/8

Y1 - 2021/8

N2 - 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.

AB - 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.

KW - ECG compression

KW - Golomb rice Code

KW - Hardware

UR - http://www.scopus.com/inward/record.url?scp=85104196711&partnerID=8YFLogxK

U2 - 10.1109/TCSII.2021.3071757

DO - 10.1109/TCSII.2021.3071757

M3 - 期刊論文

AN - SCOPUS:85104196711

SN - 1549-7747

VL - 68

SP - 2962

EP - 2966

JO - IEEE Transactions on Circuits and Systems II: Express Briefs

JF - IEEE Transactions on Circuits and Systems II: Express Briefs

IS - 8

M1 - 9399164

ER -

VLSI Implementation of Multi-Channel ECG Lossless Compression System

Abstract

Keywords

Access to Document

Fingerprint

Cite this