Design of A Low-Power Low-Noise Analog Frontend with Electronically Tunable Anti-Aliasing Capability for Electrocardiogram Recording

Authors

  • Intouch Yongpanich Silicon Craft Technology PLC
  • Woradorn Wattanapanitch Department of Electrical Engineering at Kasetsart University, Bangkok, Thailand

Keywords:

Analog Frontend, Electrocardiogram, Low-power, Anti-aliasing filter, low-power integrated circuit

Abstract

This paper presents the design of a low-power low-noise chopped analog frontend (AFE) for wearable electrocardiogram recording devices. The AFE has an embedded anti-aliasing filter without the need of an additional lowpass filter, which saves the chip area and overall power consumption without significantly increasing the AFE’s input-referred noise. The AFE’s cutoff frequency can be tuned to the minimum value of 200 Hz via electronically tuning a resistance value with the duty-cycle resistance technique. Designed and fabricated in a 180-nm CMOS process, the AFE, operating from a 1.2-V supply voltage and occupying an area of 0.55 mm2, provides a gain of 20 V/V, consumes 2.32 µW of power, and exhibits an input-referred noise of 1.6 µVrms integrated from 1-250 Hz.

Author Biographies

Intouch Yongpanich, Silicon Craft Technology PLC

received the B.Eng. degree in electrical engineering from Kasetsart University, Bangkok, Thailand, in 2017. From 2017-2021, he worked as a researcher at the Kasetsart’s Low Power Integrated Circuits and Systems Laboratory. He joined the Silicon Craft Technology PLC as an Analog IC Design Engineer in 2021 and is currently pursuing the M.Eng. degree in electrical engineering at Kasetsart University. His research interests are in the areas of low-power analog and mixed-signal circuit design for biomedical applications.

Woradorn Wattanapanitch, Department of Electrical Engineering at Kasetsart University, Bangkok, Thailand

received the B.S. degree (Summa Cum Laude) in electrical and computer engineering from Cornell University, Ithaca, NY in 2005. He received the M.Sc. and Ph.D. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT), Cambridge, in 2007 and 2011,
respectively, where he worked on developing ultralow-power electronics for biomedical applications.
Dr. Wattanapanitch joined the Department of Electrical Engineering at Kasetsart University, Bangkok,
Thailand, in 2011 as a faculty member where he currently leads the Kasetsart’s Low Power Integrated Circuits and Systems research group. His research interests are in the areas of low-power analog and mixed-signal circuit design for biomedical applications, efficient power management systems, adaptive
circuit techniques, and control theory.

References

แสงทอง จ. (2017). สังคมผู้สูงอายุ (อย่างสมบูรณ์): ภาวะสูงวัยอย่างมีคุณภาพ. RUSAMILAE JOURNAL, 38(1), 6–28.

The World Health Organization (2021). Cardiovascular Diseases (CVDs).

https://www.who.int/news-room/fact-sheets/detail/cardiovasculardiseases-(cvds).

Jun. 2021

Abramson J H, Gofin R, Hopp C, Gofin J, Donchin M, and Habib J (1981). Evaluation of a community program for the control of cardiovascular risk factors: the CHAD

program in Jerusalem. Israel journal of medical sciences, 17(2-3): 201–212.

Censi F, Calcagnini G, Mattei E, Gargaro A, Biancalana G, and Capucci A (2013). Simulation of monitoring strategies for atrial arrhythmia detection. Annali dell'Istituto superiore di sanita, 49(2): 176–182.

Bansal A, and Joshi R (2018). Portable out-of-hospital electrocardiography: A review of current technologies. Journal of arrhythmia, 34(2): 129–138.

Mohebali D, and Kittleson M M (2021). Remote monitoring in heart failure: current and emerging technologies in the context of the pandemic. Heart (British Cardiac Society), 107(5): 366–372.

Prieto-Avalos G, Cruz-Ramos N A, Alor-Hernández G, Sánchez-Cervantes J L, Rodríguez-Mazahua L, and Guarneros-Nolasco L R (2022). Wearable Devices for Physical Monitoring of Heart: A Review. Biosensors, 12(5): 292.

ANSI/AAMI EC11 (2001). Diagnostic Electrocardiographic Devices.

Fan Q, Sebastiano F, Huijsing J H, and Makinwa K A (2011). A 1.8- µW 60 nv/√Hz capacitively-coupled chopper instrumentation amplifier in 65-nm CMOS for wireless sensor nodes. IEEE Journal of Solid-State Circuits, 46: 1534-1543.

Chandrakumar, Hariprasad & Markovic, Dejan (2017). A High Dynamic-Range Neural Recording Chopper Amplifier for Simultaneous Neural Recording and Stimulation. IEEE Journal of Solid-State Circuits. PP. 1-12. 10.1109/JSSC.2016.2645611.

Bai, Wenbin & Zhu, Zhangming & Li, Yani & Liu, Lianxi. (2018). A 64.8μW >2.2GΩ DC-AC Configurable CMOS Front-End IC for Wearable ECG Monitoring. IEEE Sensors Journal. PP. 1-1. 10.1109/JSEN.2018.2809678.

Liu, Lianxi & Hua, Tianyuan & Zhang, Yi & Junchao, Mu & Zhu, Zhangming. (2019). A Robust Bio-IA with Digitally-Controlled DC-Servo Loop and Improved Pseudo-Resistor. IEEE Transactions on Circuits and Systems II: Express Briefs. PP. 1-1. 10.1109/TCSII.2019.2922423.

Song, Shuang & Rooijakkers, Michael & Harpe, Pieter & Rabotti, Chiara & Mischi, Massimo & Roermund, Arthur & Cantatore, E.. (2015). A Low-Voltage Chopper-Stabilized Amplifier for Fetal ECG Monitoring With a 1.41 Power Efficiency Factor. IEEE transactions on biomedical circuits and systems. 9. 10.1109/TBCAS.2015.2417124.

Rijnbeek, Peter & Kors, Jan & Witsenburg, Maarten. (2002). Minimum Bandwidth Requirements for Recording of Pediatric Electrocardiograms. Circulation. 104. 3087-90. 10.1161/hc5001.101063.

Downloads

Published

2024-06-25

Issue

Section

งานวิจัย (Research papers)