A low cost quadratic level ECG compression algorithm and its hardware optimization for body sensor network system

Author

Kim, Hyejung ; Yongsang Kim ; Yoo, Hoi-Jun

Author_Institution

Korea Advanced Institute of Science and technology (KAIST), 373-1, Guseongdong, Yuseong-gu, Daejeon, 305-701, Republic of Korea

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

5490

Lastpage

5493

Abstract

A low cost quadratic level compression algorithm is proposed for body sensor network system. The proposed algorithm reduces the encoding delay and the hardware cost, while maintaining the reconstructed signal quality. The quadratic compression level determined by the mean deviation value is used to preserve the critical information with high compression ratio. The overall CR is 8.4:1, the PRD is 0.897% and the encoding rate is 6.4Mbps. The 16-bit sensor node processor is designed, which supports the proposed compression algorithm. The processor consumes 0.56nJ/bit at 1V supply voltage with 1MHz operating frequency in 0.25-μm CMOS process.

Keywords

Algorithm design and analysis; Body sensor networks; Chromium; Compression algorithms; Cost function; Delay; Electrocardiography; Encoding; Hardware; Process design; Algorithms; Computer Communication Networks; Computer-Aided Design; Data Compression; Diagnosis, Computer-Assisted; Electrocardiography, Ambulatory; Equipment Design; Equipment Failure Analysis; Humans; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650457

Filename

4650457