DocumentCode :
2235479
Title :
GA based low power sigma delta modulator for biomedical applications
Author :
Jasutkar ; Bajaj, P.R. ; Deshmukh, A.Y.
Author_Institution :
GHRCE, Nagpur, India
fYear :
2011
fDate :
22-24 Sept. 2011
Firstpage :
772
Lastpage :
776
Abstract :
This paper discusses the design of micro power Sigma-delta modulator with GA based oversampling technology. This Sigma-delta modulator design is paid special attention to its low power application of portable electronic system in digitizing biomedical signals such as Electro-cardiogram (ECG), Electroencephalogram (EEG) etc. [1]. A high performance, low power second order Sigma-delta modulator is more useful in analog signal acquisition system. Using Sigma-delta modulator can reduce the power consumption and cost in the whole system. The original biomedical signal can be reconstructed by simply applying the digital bit stream from the modulator output through a low-pass filter. The loop filter of this modulator has been implemented by using switch capacitor (SC) integrators and using simple circuitry consists of OpAmps, Comparator and DAC. In general, the resolution of modulator is about 10 bits for biomedical application. In this two order Sigma-delta modulator simulation results of the 1.8V sigma delta modulator show a 68 dB signal-to-noise-and distortion ratio (SNDR) in 4 kHz biomedical signal bandwidth and a sampling frequency equal to 1MHz in the 0.18 m CMOS technology. The power consumption is 400 W. It is very suitable for low power application of biomedical instrument design.
Keywords :
comparators (circuits); genetic algorithms; integrating circuits; low-pass filters; medical signal processing; operational amplifiers; power consumption; sigma-delta modulation; signal detection; signal sampling; switched capacitor filters; CMOS technology; DAC; GA based low power Sigma-delta modulator; GA based oversampling technology; OpAmps; analog signal acquisition system; biomedical applications; biomedical signal bandwidth; biomedical signal digitization; comparator; electrocardiogram; electroencephalogram; loop filter; low-pass filter; micropower Sigma-delta modulator; portable electronic system; power 400 W; power consumption; sampling frequency; signal-to-noise-and distortion ratio; size 0.18 m; switch capacitor integrators; Biological cells; Genetic algorithms; Modulation; Optimization; Sigma delta modulation; Signal resolution; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4244-9478-1
Type :
conf
DOI :
10.1109/RAICS.2011.6069414
Filename :
6069414
Link To Document :
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