Title :
A low power ECG signal processor for ambulatory arrhythmia monitoring system
Author :
Kim, Hyejung ; Yazicioglu, Refet Firat ; Torfs, Tom ; Merken, Patrick ; Yoo, Hoi-Jun ; Van Hoof, Chris
Author_Institution :
IMEC, Leuven, Belgium
Abstract :
An ECG signal processor (ESP) is proposed for ambulatory arrhythmia monitoring systems. The ESP consists of three heterogeneous processors and performs filtering, data compression, ECG classification, and encryption. A data reduction scheme, consisting of skeleton and Huffman coding, are employed to reduce the on-chip memory capacity and memory access power. Clock gating and voltage scaling are also applied to reduce the power consumption. The ESP consumes 1.26-μW at 0.7V, while providing real time signal processing.
Keywords :
Huffman codes; cryptography; data compression; data reduction; electrocardiography; filtering theory; medical signal processing; patient monitoring; signal classification; Clock gating; ECG classification; ECG signal processor; ESP; Huffman coding; ambulatory arrhythmia monitoring system; data compression; data reduction scheme; encryption; filtering; power 1.26 muW; skeleton; voltage 0.7 V; voltage scaling; Classification algorithms; Clocks; Electrocardiography; Heart beat; Power demand; Reduced instruction set computing; Skeleton; ECG; biomedical signal processing; processor;
Conference_Titel :
VLSI Circuits (VLSIC), 2010 IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-5454-9
DOI :
10.1109/VLSIC.2010.5560253
