A Novel Low-Power 5th Order Analog to Digital Converter for Bio Medical Applications
Aditya M1, I Veeraraghava Rao2, B. Balaji3, John Philip B4, Ajay Nagendra N5, S Vamsee Krishna6

1Aditya M, Assitant Professor, ECE Department, KLEF (Deemed to be University), Vaddeswaram (Andhra Pradesh), India.
2I Veeraraghava Rao, Assitant Professor, ECE Department, KLEF (Deemed to be University), Vaddeswaram (Andhra Pradesh), India.
3Dr B. Balaji, Associate Professor, ECE Department, KLEF (Deemed to be University), Vaddeswaram (Andhra Pradesh), India.
4John philip B, Assitant Professor, ECE Department, KLEF (Deemed to be University), Vaddeswaram (Andhra Pradesh), India.
5Ajay nagendra N, Assitant Professor, ECE Department, KLEF (Deemed to be University), Vaddeswaram (Andhra Pradesh), India.
6S Vamsee Krishna, Assitant Professor, ECE Department, KLEF (Deemed to be University), Vaddeswaram (Andhra Pradesh), India.

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 217-220 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5137058719/19©BEIESP
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Abstract: This paper implements sigma delta analog to digital converters that play a key role in ECG acquisition. In this paper we have implemented both fifth and sixth order sigma delta analog to digital converters and compared the parameters like SNR, Nodal spectrum analysis, Integrated power analysis with respect to same frequency given to both fifth and sixth order circuits. In this paper we observed the increase in power consumption as the order increases. For 5th order Sigma Delta ADC, we observed SNR of 74.8532 dB. Similarly for 6th order ADC the SNR observed was 75.5813 dB.
Keyword: Sigma-Delta, ADC, ECG, SNR, Acquisition.
Scope of the Article: Digital System and Logic Design.