DocumentCode
3045292
Title
Wireless 3-lead ECG system with on-board digital signal processing for ambulatory monitoring
Author
Buxi, Dilpreet ; Berset, T. ; Hijdra, Martijn ; Tutelaers, Marc ; Geng, Di ; Hulzink, J. ; van Noorloos, M. ; Romero, I. ; Torfs, Tom ; Van Helleputte, Nick
Author_Institution
Holst Centre, Imec The Netherlands, Eindhoven, Netherlands
fYear
2012
fDate
28-30 Nov. 2012
Firstpage
308
Lastpage
311
Abstract
Ambulatory monitoring of cardiac signals is an important diagnostic method for the detection and analysis of cardiac arrhythmia. Key technical challenges are overcoming motion artifacts, achieving low power consumption, and creating a low cost, low maintenance system. A wireless ECG monitoring system that is able to perform good quality ECG signal acquisition as well as subsequent digital signal processing for motion artifact reduction is presented. An ultra-low power integrated circuit performs acquisition of three ECG leads and electrode-tissue impedance for one lead. Also integrated is imec´s CoolBio Digital Signal Processor, which is capable of performing Independent Component Analysis algorithm as well as Adaptive Filtering using electrode-tissue impedance impedance. Both algorithms, which are used for motion artifact reduction, result in a system power consumption of approximately 7.6mW. The novel contribution is the integration of a low power DSP into a wearable ECG platform, which includes lessons learnt on interfacing between low power components to reduce system power consumption.
Keywords
adaptive filters; bioelectric potentials; biological tissues; biomechanics; biomedical electrodes; biomedical electronics; diseases; electrocardiography; independent component analysis; integrated circuits; low-power electronics; medical signal processing; wireless sensor networks; CoolBio digital signal processor; adaptive filtering; ambulatory monitoring; cardiac arrhythmia; cardiac signals; diagnostic method; digital signal processing; electrode-tissue impedance; independent component analysis algorithm; low power consumption; motion artifact reduction; signal acquisition; ultralow power integrated circuit; wireless three-lead ECG system; Digital signal processing; Electrocardiography; Electrodes; Impedance; Monitoring; Power demand; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Circuits and Systems Conference (BioCAS), 2012 IEEE
Conference_Location
Hsinchu
Print_ISBN
978-1-4673-2291-1
Electronic_ISBN
978-1-4673-2292-8
Type
conf
DOI
10.1109/BioCAS.2012.6418435
Filename
6418435
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