A 12.9-µW 2-D ECG compression core based on NLSPIHT

Author

Gaowei Xu ; Lingyun Zeng ; Yao Zou ; Jun Han ; Xiaoyang Zeng

Author_Institution

State Key Lab. of ASIC & Syst., Fudan Univ., Shanghai, China

fYear

2014

fDate

28-31 Oct. 2014

Firstpage

1

Lastpage

3

Abstract

This paper proposed a 2-D electrocardiogram (ECG) compression core based on no list set partitioning in hierarchical trees (NLSPIHT) algorithm. The hardware solution presented here exploits the fact that ECG signals generally reveal both spatial and temporal redundancy. In order to reduce hardware cost, tiling approach is adopted to implement efficient low-cost circuits. Evaluated in SMIC 65-nm process, the 7 kHz compressor with 64×64 tile draws only 12.9-μW, which is more favorably in portable battery-driven biomedical devices. In addition, the compression performance is maintained compared to similar 2-D compression algorithm in software.

Keywords

biomedical electronics; data compression; discrete wavelet transforms; electrocardiography; low-power electronics; medical signal processing; set theory; 2D ECG compression core; 2D electrocardiogram compression core; NLSPIHT algorithm; SMIC process; hardware cost reduction; no list set partitioning in hierarchical trees algorithm; portable battery driven biomedical device; power 12.9 muW; size 65 nm; spatial redundancy; temporal redundancy; Abstracts; Discrete cosine transforms; Electrocardiography; Encoding; Lead; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Solid-State and Integrated Circuit Technology (ICSICT), 2014 12th IEEE International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-4799-3296-2

Type

conf

DOI

10.1109/ICSICT.2014.7021504

Filename

7021504