Abstract
In this work, a folded cascode topology has been used to design an op-amp in order to optimize biopotential amplifier. This paper aims to design a fully differential amplifier in the direction of achieving high gain, high CMRR, high PSRR and low noise. In this work, 90 nm technology is used for simulations which are carried out using Tanner EDA 16.0 tool and these results are compared with related work performed using 180 and 350 nm technology. With the help of this work, an instrumentation amplifier can be designed which has low noise, low common mode gain, higher stability with supply variation, etc. and biopotential amplifier can also be designed for ECG machine, neural recording, etc. In this work the proposed results have been analytically verified with theory and compared with the related work.
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References
Yazıcıoglu RF, Hoof CV, Puers R (2009) Biopotential readout circuits for portable acquisition systems. Springer Science, Boston
Gyselinckx B, Hoof CV, Ryckaert J, Yazicioglu RF, Fiorini P, Leonov V (2005) Human++: autonomous wireless sensors for body area networks. In: Proceedings of IEEE custom integrated circuits conference, pp 13–19
Gyselinckx B, Hoof CV, Ryckaert J, Yazicioglu RF, Fiorini P, Leonov V (2006) Human++: emerging technology for body area networks. In: IFIP international conference very large scale integration, nice, pp 175–180
Mundt CW, Montgomery KN et al (2005) A multi parameter wearable physiologic monitoring system for space and terrestrial applications. IEEE Trans Inf Technol Biomed 9:382–391
Paradiso R, Loriga G, Taccini N (2005) A wearable health care system based on knitted integrated sensors. IEEE Trans Inf Technol Biomed 9:337–344
Sungmee P, Jayaraman S (2003) Enhancing the quality of life through wearable technology. IEEE Eng Med Biol Mag 22:41–48
Waterhouse E (2003) New horizons in ambulatory electroencephalography. IEEE Eng Med Biol Mag 22:74–80
Yazicioglu RF (2011) “Readout circuits” Bio-Medical CMOS ICs, 1st edn. Springer, New York, pp 125–157
Zywietz C (1888) A brief history of electrocardiography progress through technology. Biosigna Institute for Biosignal Processing and Systems Research, Hannover
Braunwald E (1997) Heart disease: a textbook of cardiovascular medicine. W.B. Saunders Co., Philadelphia
Mieghem CV, Sabbe M, Knockaert D (2004) The clinical value of the ECG in noncardiac conditions. Chest, Northbrook
American heart association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care—Part 8: stabilization of the patient with acute coronary syndromes, Circulation, pp 89–110, 2005. Available: http://circ.ahajournals.org/content/112/24_suppl/IV-89.full
Electrocardiography [online]. Available: http://en.wikipedia.org/wiki/Electrocardiography
Joshi SRA, Miller A (2011) EKG-based heart-rate monitor implementation on the Launch Pad Value Line Development Kit using the MSP430G2452 MCU. Application Report, Texas Instruments, Dallas, Mar 2011
Melnyk MD, Silbermann JM (2004) Wireless electrocardiogram system. A Design Project Report, Cornell University, Ithaca, NY, May 2004
Bobbie PO, Arif CZ (2004) Electrocardiogram (EKG) data acquisition and wireless transmission. In: ICOSSE Proceedings of WSEAS, CD-Volume-ISBN
Soundarapandian MBK (2009) Analog front-end design for ECG systems using delta-sigma ADCs. Application Notes, Texas Instruments, Dallas, Mar 2009
Harrison RR, Charles C (2003) A low-power low-noise CMOS amplifier for neural recording applications. IEEE J Solid-State Circuits 38:958–965
Winter BB, Webster JG (1983) Driven-right-leg circuit design. IEEE Trans Biomed Eng (BME) 30:62–66
Nayyar A, Puri V, Nhu NG (2018) BioSenHealth 1.0: a novel internet of medical things (IoMT)-based patient health monitoring system. In: Proceedings of international conference on innovative computing and communications, ICICC 2018, vol 1, pp 155–164. https://doi.org/10.1007/978-981-13-2324-9_16
Rajbhandari S, Singh A, Mittal M (2018) Big data in healthcare. In: Proceedings of international conference on innovative computing and communications, ICICC 2018, vol 2, pp 261–269. https://doi.org/10.1007/978-981-13-2354-6_28
Zhang F, Holleman J, Otis BP (2012) Design of ultra-low power biopotential amplifiers for biosignal acquisition applications. IEEE Trans Biomed Circuits Syst 6(4):344–355
Hasan MN, Lee KS (2015) A wide linear output range biopotential amplifier for physiological measurement frontend. IEEE Trans Inst Meas 64(1)
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Dhaka, A., Nandal, A., Gangwar, A., Bogatinoska, D.C. (2020). Design of Low Power Operational Amplifier for ECG Recording. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_6
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