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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. ECG SIGNAL PROCESSING USING CODE RECOMBINATION ALGORITHM
    V. Logisvary *, Ragaventra. R, Riyaz Ahamad. S, Fleming Roland. P
    Journal of Data Acquisition and Processing, 2023, 38 (1): 4714-4725 . 

    Abstract

    An electrocardiogram (ECG) is used to record the electrical signal from the heart to check the functioning of heart conditions. The signals of ECG will be represented as waves on an attached monitor. Cardiovascular illnesses are identified using an electrocardiogram (ECG) signal processed using a Code Recombination Analog to Digital Converter (CR-ADC). The reduction in size of CMOS fabrication, delay rate, power consumption, noise and to increase the efficiency and accuracy of the ADC. This paper proposes the bidirectional pulsed-latches and non-overlap delayed pulsed clock signals which replace the existing master-slave flip-flops and 2-to-1 multiplexers to reduce the area and power consumption in ADC using code recombination algorithm. The CMOS fabrication of the ADC below 130 nm improves power efficiency. The prototype of CR-ADC implemented with a voltage source of 0.6 V, and a sampling rate of 10 kS/s, Signal-to-noise-distortion range (SNDR) and spurious-free dynamic range (SFDR) of the suggested ADC are 70.2 and 58.34 dB, respectively. It is more than 96% accurate compared to the Successive Approximation Register Analog to Digital Convertor (SAR-ADC).

    Keyword

    Electrocardiogram, Code Recombination Analog to Digital Converter (CR-ADC), Bidirectional shift register, Cardiovascular diseases.


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ISSN 1004-9037

         

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