DocumentCode :
184673
Title :
Leakage compensation in analog random modulation pre-integration architectures for biosignal acquisition
Author :
Mangia, Mauro ; Pareschi, Fabio ; Rovatti, Riccardo ; Setti, Gianluca
Author_Institution :
ARCES, Univ. of Bologna, Bologna, Italy
fYear :
2014
fDate :
22-24 Oct. 2014
Firstpage :
432
Lastpage :
435
Abstract :
As Compressed Sensing (CS) emerges as an innovative approach for analog-to-information conversion, more realistic models for studying and coping with the non-idealities of real circuits are required. In this paper we consider the effect of the voltage drop due to leakage currents in the random modulation pre-integration approach, which is the most common CS architecture. In particular we focus on switched capacitor implementations, and we show that leakage currents may significantly alter the acquired information especially when integration time is long as it happens, for example, in biosensing applications. With a simple but realistic circuit model we show that the voltage drop has two contributions. The first is signal independent and causes an offset in the measurement, while the second is signal dependent. To cope with these effects we propose two compensation techniques that ensure signal reconstruction even in the presence of measurement degradation due to leakage.
Keywords :
analogue-digital conversion; biosensors; compressed sensing; medical signal detection; signal reconstruction; CS architecture; analog random modulation pre-integration architectures; analog-to-information conversion; biosensing applications; biosignal acquisition; compensation techniques; compressed sensing; integration time; leakage compensation; leakage current; measurement degradation; realistic circuit model; signal dependent; signal independent; signal reconstruction; switched capacitor implementations; voltage drop; Compressed sensing; Integrated circuit modeling; Leakage currents; Mathematical model; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
Conference_Location :
Lausanne
Type :
conf
DOI :
10.1109/BioCAS.2014.6981755
Filename :
6981755
Link To Document :
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