Performance Comparison of ECG Bio-Amplifier Between Single and Bi-Polar Supply Using Spectrum Analysis Based on Fast Fourier Transform

Keywords: Electrocardiography, high pass filter, low pass filter, notch filter


Heart performance is one of the vital signs that cannot be ignored and must be monitored periodically. In this case, the measuring range of the human heart rate is between 60-100 BPM, in which the measurement unit is expressed as Beat per Minute (BPM). Therefore, it is very important to use Electrocardiograph equipment to tap the electrical signals of the heart with correct readings and minimal interference such as frequency of electric lines and noise. The purpose of this study was to compare the instrumentation amplifier using a single supply with a bi-polar supply in the ECG design to select the best instrumentation amplifier, which is expected to contribute to other researchers in choosing the right type of instrumentation amplifier that is efficient and qualified. In this case, the research was carried out by comparing two single supply instrumentation amplifiers using the AD623 IC and the bi-polar supply using the AD620 IC, continued by the use of Fast Fourier Transform (FFT) to determine the frequency spectrum of the ECG signal. The test results further showed that the use of single power instrumentation could reduce more noise compared to the Bi-Polar instrumentation amplifier by strengthening 60 dB Low pass filter circuit. Meanwhile, the FFT results in finding the frequency spectrum explained that the FFT results on the ECG signal provided information that the ECG signal had a frequency range between 0.05 Hz and 100 Hz. When the frequency is more than 100 Hz, the frequency started to be suppressed and when the frequency is less than 100 Hz, the frequency is passed. This research could be further used as a reference by other researchers to determine which type of instrumentation amplifier is better.


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C. Suharinto, A. Budianto, and N. T. Sanyoto, “Design of Electrocardiograph Signal Simulator,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 2, no. 1, pp. 43–47, 2020, doi: 10.35882/ijeeemi.v2i1.9.

A. M. Maghfiroh, A. Arifin, and T. A. Sardjono, “Wavelet-Based Respiratory Rate Estimation Using Electrocardiogram,” Proc. - 2019 Int. Semin. Intell. Technol. Its Appl. ISITIA 2019, pp. 354–359, 2019, doi: 10.1109/ISITIA.2019.8937201.

Z. Ai, L. Zheng, H. Qi, and W. Cui, “Low-Power Wireless Wearable ECG Monitoring System Based on BMD101,” Chinese Control Conf. CCC, vol. 2018-July, pp. 7374–7379, 2018, doi: 10.23919/ChiCC.2018.8484125.

E. M. Spinelli, N. H. Martinez, and M. A. Mayosky, “A single supply biopotential amplifier,” Med. Eng. Phys., vol. 23, no. 3, pp. 235–238, 2001, doi: 10.1016/S1350-4533(01)00040-6.

H. C. Lee et al., “An ECG front-end circuit with single power supply,” 2015 IEEE Int. Conf. Consum. Electron. - Taiwan, ICCE-TW 2015, pp. 270–271, 2015, doi: 10.1109/ICCE-TW.2015.7216893.

B. S. Mohamad-Ali, “Single input adaptive 50 Hz noise canceller from ECG signal,” 2013 Int. Conf. Electr. Commun. Comput. Power, Control Eng. ICECCPCE 2013, pp. 64–69, 2014, doi: 10.1109/ICECCPCE.2013.6998736.

A. S. AlMejrad, “A single supply standard 8051 microcontroller based medical K-grade isolation ECG module with graphics LCD,” Proc. - 2012 Int. Conf. Intell. Syst. Des. Eng. Appl. ISDEA 2012, pp. 1184–1187, 2012, doi: 10.1109/ISdea.2012.584.

J. S. Arteaga-Falconi, H. Al Osman, and A. El Saddik, “ECG and fingerprint bimodal authentication,” Sustain. Cities Soc., vol. 40, pp. 274–283, 2018, doi: 10.1016/j.scs.2017.12.023.

U. Satija, B. Ramkumar, and M. Sabarimalai Manikandan, “A New Automated Signal Quality-Aware ECG Beat Classification Method for Unsupervised ECG Diagnosis Environments,” IEEE Sens. J., vol. 19, no. 1, pp. 277–286, 2019, doi: 10.1109/JSEN.2018.2877055.

A. Appathurai et al., “A study on ECG signal characterization and practical implementation of some ECG characterization techniques,” Meas. J. Int. Meas. Confed., vol. 147, p. 106384, 2019, doi: 10.1016/j.measurement.2019.02.040.

S. Dilmac and M. Korurek, “ECG heart beat classification method based on modified ABC algorithm,” Appl. Soft Comput. J., vol. 36, pp. 641–655, 2015, doi: 10.1016/j.asoc.2015.07.010.

H. Ozkan, O. Ozhan, Y. Karadana, M. Gulcu, S. Macit, and F. Husain, “A portable wearable tele-ECG monitoring system,” IEEE Trans. Instrum. Meas., vol. 69, no. 1, pp. 173–182, 2020, doi: 10.1109/TIM.2019.2895484.

L. Zeng, B. Liu, and C. H. Heng, “A Dual-Loop Eight-Channel ECG Recording System with Fast Settling Mode for 12-Lead Applications,” IEEE J. Solid-State Circuits, vol. 54, no. 7, pp. 1895–1906, 2019, doi: 10.1109/JSSC.2019.2903471.

A. J. A. Dhivya, “Quadcopter based technology for an emergency healthcare,” Int. Conf. Biosignals, images Instrum. (ICBSII), 16-18 March 2017, Chennai., no. March, pp. 16–18, 2017.

S. Hadiyoso, K. Usman, A. Rizal, and R. Sigit, “Microcontroller-based Mini Wearable ECG Design Desain Mini wearable ECG Berbasis Mikrokontroler,” Inkom, vol. 7, no. 2, pp. 1–8, 2013.

N. Bayasi, T. Tekeste, H. Saleh, B. Mohammad, A. Khandoker, and M. Ismail, “Low-Power ECG-Based Processor for Predicting Ventricular Arrhythmia,” IEEE Trans. Very Large Scale Integr. Syst., vol. 24, no. 5, pp. 1962–1974, 2016, doi: 10.1109/TVLSI.2015.2475119.

Z. Ai, Z. Wang, and W. Cui, “Low-power wireless wearable ECG monitoring chestbelt based on ferroelectric microprocessor,” Chinese Control Conf. CCC, vol. 2019-July, no. Section 1, pp. 6434–6439, 2019, doi: 10.23919/ChiCC.2019.8865575.

F. Morshedlou, N. Ravanshad, and H. Rezaee-dehsorkh, “A Low-Power Current-Mode Analog QRS-Detection Circuit for Wearable ECG Sensors,” 2018 25th Natl. 3rd Int. Iran. Conf. Biomed. Eng., pp. 1–6, 2018, doi: 10.1109/ICBME.2018.8703577.

G. Ehrmann, T. Blachowicz, S. V. Homburg, and A. Ehrmann, “Measuring Biosignals with Single Circuit Boards,” Bioengineering, vol. 9, no. 2, pp. 1–21, 2022, doi: 10.3390/bioengineering9020084.

N. Duda, A. Barthule, S. Ripperger, F. Mayer, R. Weigel, and A. Koelpin, “Non-Invasive Low Power ECG for Heart Beat Detection of Bats,” 2019 IEEE Top. Conf. Wirel. Sensors Sens. Networks, WiSNet 2019, pp. 1–4, 2019, doi: 10.1109/WISNET.2019.8711816.

H. N. Abdullah and B. H. Abd, “Design and Implementation of Ecg Monitoring System,” Ijarse, no. 4, 2015, [Online]. Available:

T. Alexander, G. Nickolay, and K. Igor, “Design of an Instrumentation Amplifier for a Mobile Electrocardiogram Recorder with Autonomous Power Supply,” 2019 Int. Semin. Electron Devices Des. Prod. SED 2019 - Proc., pp. 1–4, 2019, doi: 10.1109/SED.2019.8798463.

V. Rizzoli et al., “r,,, . 7 8,” vol. 39, no. 9, pp. 235–238, 1992.

H. Kakigano, Y. Miura, and T. Ise, “Low-voltage bipolar-type dc microgrid for super high quality distribution,” IEEE Trans. Power Electron., vol. 25, no. 12, pp. 3066–3075, 2010, doi: 10.1109/TPEL.2010.2077682.

J. Duvernoy, “Guidance on the Computation of Calibration Uncertainties,” World Meteorol. Organ., no. 119, 2015, [Online]. Available:

U. Oberst, “The fast Fourier transform,” SIAM J. Control Optim., vol. 46, no. 2, pp. 496–540, 2007, doi: 10.1137/060658242.

M. Cuimei, C. He, and Ma Long, “AN EFFICIENT DESIGN OF HIGH-ACCURACY AND LOW-COST FFT,” IET Int. Radar Conf. 2013, pp. 3–6, 2013.

P. M. N and Q. Cerdip, “Low Cost, Low Power Instrumentation Amplifier,” Analog Device, pp. 1–16, 1999.

L. Power et al., “Single Supply, Rail-to-Rail, Low Cost Instrumentation Amplifier,” Analog Device. analog Device, USA, pp. 1–16, 1999.

How to Cite
A. Maghfiroh, S. Musvika, and V. Abdullayev, “Performance Comparison of ECG Bio-Amplifier Between Single and Bi-Polar Supply Using Spectrum Analysis Based on Fast Fourier Transform”, Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics, vol. 4, no. 4, pp. 174-181, Nov. 2022.
Research Article