Title :
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
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;
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
DOI :
10.1109/ICSICT.2014.7021504
