Review of bioimpedance detection chip design

MA Siyuan, LIU Xu, JIAO Yukun, MA Heping, WAN Peiyuan, CHEN Zhijie

Integrated Circuits and Embedded Systems ›› 2025, Vol. 25 ›› Issue (2) : 64-74.

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Integrated Circuits and Embedded Systems ›› 2025, Vol. 25 ›› Issue (2) : 64-74. DOI: 10.20193/j.ices2097-4191.2024.0077
Special Topic of Biomedical Chips and Svstems

Review of bioimpedance detection chip design

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Abstract

This paper reviews the design and optimization of bioimpedance detection chips, focusing on the applicable scenarios of dual-electrode and quad-electrode and their trade-offs in measurement accuracy and portability. According to different detection requirements, the implementation principles and characteristics of ADC method, DAC method, successive approximation method, half-sine DAC method and baseline elimination technology are discussed in detail. Studies have shown that dual-electrode combined with efficient DAC method has significant advantages in portable devices, while the four-electrode configuration is suitable for high-precision impedance measurement scenarios. This paper provides theoretical support for the design of bioimpedance detection chips and looks forward to its application prospects in wearable medical devices and dynamic monitoring.

Key words

bioimpedance detection / impedance detection principle / ADC / DAC

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MA Siyuan , LIU Xu , JIAO Yukun , et al . Review of bioimpedance detection chip design[J]. Integrated Circuits and Embedded Systems. 2025, 25(2): 64-74 https://doi.org/10.20193/j.ices2097-4191.2024.0077

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis
[1]
D K ABDELRAHMAN, R MOHAMMED, M E FOUDA, et al. Memristive Bio-Impedance Modeling of Fruits and Vegetables[J]. IEEE Access, 2021,9:21498-21506.
Cited in this article [1]
[2]
M SAINI, PAYAL, U SATIJA. An Effective and Robust Framework for Ocular Artifact Removal From Single-Channel EEG Signal Based on Variational Mode Decomposition[J]. IEEE Sensors Journal, 2020, 20(1):369-376.doi: 10.1109/JSEN.2019.2942153.
Cited in this article [2]
[3]
Y ZHANG, X ZHENG, W XU, et al. RT-Blink: A Method Toward Real-Time Blink Detection From Single Frontal EEG Signal[J]. IEEE Sensors Journal, 2023, 23(3):2794-2802.doi: 10.1109/JSEN.2022.3232176.
Cited in this article [1]
[4]
S YANG, M LI, J WANG. Fusing sEMG and EEG to Increase the Robustness of Hand Motion Recognition Using Functional Connectivity and GCN[J]. IEEE Sensors Journal, 2022, 22(24):24309-24319.doi: 10.1109/JSEN.2022.3221417.
Cited in this article [1]
[5]
N SOBAHI, B ARI, H CAKAR, et al. A New Signal to Image Mapping Procedure and Convolutional Neural Networks for Efficient Schizophrenia Detection in EEG Recordings[J]. IEEE Sensors Journal, 2022, 22(8):7913-7919.doi: 10.1109/JSEN.2022.3151465.
Cited in this article [1]
[6]
J LEE, K CHA, H KIM, et al. Hybrid MI-SSSEP Paradigm for classifying left and right movement toward BCI for exoskeleton control[C]//2019 7th International Winter Conference on Brain-Computer Interface (BCI),Gangwon,Korea (South), 2019:1-3.doi: 10.1109/IWW-BCI.2019.8737319.
Cited in this article [1]
[7]
F GARRO, Z MCKINNEY. Toward a Standard User-Centered Design Framework for Medical Applications of Brain-Computer Interfaces[C]// 2020 IEEE International Conference on Human-Machine Systems (ICHMS), Rome,Italy,2020:1-3.doi: 10.1109/ICHMS49158.2020.9209416.
Cited in this article [1]
[8]
A MUNGE, V SANKAR, M S E SENDI, et al. A Bio-Impedance Measurement IC for Neural Interface Applications[C]//2018 IEEE Biomedical Circuits and Systems Conference (BioCAS),Cleveland,OH,USA, 2018:1-4.doi: 10.1109/BIOCAS.2018.8584750.
Cited in this article [2]
[9]
Y ZHAO, H CHEN, C LIU, et al. A Closed-Loop Automated Craniotomy System With Real-Time Bio-Impedance Feedback[J]. IEEE Sensors Journal, 2022, 22(24):24418-24429.doi: 10.1109/JSEN.2022.3218852.
Cited in this article [1]
[10]
S TAO, J HU, W L GOH, et al. Squeeze-Excite Fusion Based Multimodal Neural Network for Sleep Stage Classification with Flexible EEG/ECG Signal Acquisition Circuit[C]// 2024 IEEE International Symposium on Circuits and Systems (ISCAS), Singapore,Singapore,2024:1-5.doi: 10.1109/ISCAS58744.2024.10557984.
Cited in this article [1]
[11]
M A SAYEED, F NASRIN. An Edge-computing Platform for Low-Latency and Low-power Wearable Medical Devices for Epilepsy[C]//2023 IEEE Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS), Waco,TX,USA,2023:1-4.doi: 10.1109/WMCS58822.2023.10194265.
Cited in this article [1]
[12]
M K REDDY, N M KUMAR, A KARUPPANNAN, et al. Design and Development of Wearable Medical Devices for Health Monitoring[C]//2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC),Kirtipur,Nepal,2023:554-559.doi: 10.1109/I-SMAC58438.2023.10290556.
Cited in this article [1]
[13]
D MENDHE, A DOGRA, P S NAIR, et al. AI-Enabled Data-Driven Approaches for Personalized Medicine and Healthcare Analytics[C]//2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai,India,2024:1-5.doi: 10.1109/ICONSTEM60960.2024.10568722.
Cited in this article [1]
[14]
N JOYE, A SCHMID, Y LEBLEBICI. A cell-electrode interface noise model for high-density microelectrode arrays[C]// 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society,Minneapolis,MN,USA, 2009:3247-3250.doi: 10.1109/IEMBS.2009.5333534.
Cited in this article [1]
[15]
A A SILVERIO, WEN-YAW CHUNG, V F S TSAI. A low power high CMRR CMOS instrumentation amplifier for Bio-impedance Spectroscopy[C]//2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014),Chung Li,Taiwan, 2014:1-4.doi: 10.1109/ISBB.2014.6820903.
Cited in this article [1]
[16]
K KOLI, K A I HALONEN. CMRR Enhancement Techniques for Current-Mode InstrumentationAmplifiers[J]. IEEE Transactions on Circuits and Systems 1: Fundamental Theory and Applications, 2000, 47(5):622-632.
[17]
B BABEI, S MIRZAKUCHAKI. High CMRR and Low THD Current-Mode Instrumentation Amplifier Using Current Inversion Technique[C]// Proceedings of the25th Norchip Conference,2007:1-4.
Cited in this article [1]
[18]
S PURSIAINEN, B AGSTEN, S WAGNER, et al. Advanced Boundary Electrode Modeling for tES and Parallel tES/EEG[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 26(1):37-44.doi: 10.1109/TNSRE.2017.2748930.
https://www.ncbi.nlm.nih.gov/pubmed/28961118
Abstract
This paper explores advanced electrode modeling in the context of separate and parallel transcranial electrical stimulation (tES) and electroencephalography (EEG) measurements. We focus on boundary condition-based approaches that do not necessitate adding auxiliary elements, e.g., sponges, to the computational domain. In particular, we investigate the complete electrode model (CEM) which incorporates a detailed description of the skin-electrode interface including its contact surface, impedance, and normal current distribution. The CEM can be applied for both tES and EEG electrodes which are advantageous when a parallel system is used. In comparison to the CEM, we test two important reduced approaches: the gap model (GAP) and the point electrode model (PEM). We aim to find out the differences of these approaches for a realistic numerical setting based on the stimulation of the auditory cortex. The results obtained suggest, among other things, that GAP and GAP/PEM are sufficiently accurate for the practical application of tES and parallel tES/EEG, respectively. Differences between CEM and GAP were observed mainly in the skin compartment, where only CEM explains the heating effects characteristic to tES.
[19]
A REGUIG, L DASCALESCU, P DORDIZADEH, et al. Corona Discharge Generated by Dual-Type Electrode Fixed Between Parallel Grounded Strips[J]. IEEE Transactions on Industry Applications, 2017, 53(2):1459-1465.doi: 10.1109/TIA.2016.2637326.
Cited in this article [1]
[20]
M C PLOPEANU, L DASCALESCU, B NEAGOE, et al. Characterization of two electrode systems for corona-charging of non-woven filter media[J]. J. Electrostat., 2013,71:517-523.
Cited in this article [1]
[21]
O P SINGH, Y HU, A BOCCHINO, et al. Performance Assessment of Microneedle Dry and Wet Gel Electrodes Using a Dual-Channel, Single Lead Wearable ECG Device[C]//2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), Palermo,Italy,2022:737-740.doi: 10.1109/MELECON53508.2022.9843060.
Cited in this article [1]
[22]
S NOVIK, M F DRAGESETH, Ø G MARTINSEN, et al. Four Electrode Bioimpedance Sensor System on CMOS Chip[C]//2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Lansing,MI,USA,2021:22-27.doi: 10.1109/MWSCAS47672.2021.9531741.
Cited in this article [1]
[23]
Y HE, Z JIANG, B ZHAO, et al. Structure optimization of four-electrode detector for CFRP damage detection[C]//2020 7th International Conference on Information Science and Control Engineering (ICISCE), Changsha,China,2020:2205- 2209.doi: 10.1109/ICISCE50968.2020.00431.
Cited in this article [1]
[24]
M AMINI, J HISDAL, H KALVØY. Applications of bioimpedance measurement techniquesin tissue engineering[J]. Journal of Electrical Bioimpedance, 2018, 9(1):142-158.
Cited in this article [1]
[25]
MUNGE, V SANKAR, M S E SENDI, et al. A Bio-Impedance Measurement IC for Neural Interface Applications[C]//2018 IEEE Biomedical Circuits and Systems Conference (BioCAS),Cleveland,OH,USA, 2018:1-4.doi: 10.1109/BIOCAS.2018.8584750.
Cited in this article [1]
[26]
J LATIKKA, T KUURNE, H ESKOLA. Conductivity of living intracranial tissues[J]. Physics in Medicine & Biology, 2001, 46(6):1611.
Cited in this article [1]
[27]
M ZAMANI, Y REZAEIYAN, O SHOAEI, et al. A 1.55 W Bio-Impedance Measurement System for Implantable Cardiac Pacemakers in 0.18 μm CMOS[J]. IEEE Transactions on Biomedical Circuits and Systems, 2018, 12(1):211-221.
Cited in this article [1]
[28]
H HA. A Bio-Impedance Readout IC With Digital-Assisted Baseline Cancellation for Two-Electrode Measurement[J]. IEEE Journal of Solid-State Circuits, 2019, 54(11):2969-2979.doi: 10.1109/JSSC.2019.2939077.
Cited in this article [1]
[39]
H CHOI. A Bio-Impedance Readout IC With Complex-Domain Noise-Correlated Baseline Cancellation[J]. IEEE Journal of Solid-State Circuits, 2024, 59(11):3538-3548.doi: 10.1109/JSSC.2024.3439865.
Cited in this article [1]
[30]
J LI. A 1.76 mW, 355 fps, Electrical Impedance Tomography System With a Simple Time-to-Digital Impedance Readout for Fast Neonatal Lung Imaging[J]. IEEE Journal of Solid-State Circuits.doi: 10.1109/JSSC.2024.3434638.
Cited in this article [2]
[31]
J H SUH. A 16-Channel Impedance-Readout IC With Synchronous Sampling and Baseline Cancelation for Fast Neural Electrical Impedance Tomography[J]. IEEE Solid-State Circuits Letters, 2023, 6:109-112.doi: 10.1109/LSSC.2023.3265678.
Cited in this article [2]
[32]
Intan Technologies. RHS Stim/Amplifier Chips[EB/OL].[2024-12].https://intantech.com/products_RHS2000.html.
https://intantech.com/products_RHS2000.html
Cited in this article [2]
[33]
L YAN. A 13μA analog signal processing IC for accurate recognition of multiple intra- cardiac signals[J]. IEEE Trans. Biomed. Circuits Syst., 2013, 7(6):785-795.
Cited in this article [1]
[34]
S I CHEON, S J KWEON, Y KIM, et al. An impedance readout IC with ratio-based measurement techniques for electrical impedance spectroscopy[J]. Sensors, 2022, 22(4).
Cited in this article [1]
[35]
S I CHEON, S J KWEON, Y KIM, et al. A polar-demodulation-based impedance-measurement IC using frequency-shift technique with low power consumption and wide frequency range[J]. IEEE Trans. Biomed. Circuits Syst., 2021, 15(6):1210-1220.
Cited in this article [1]
[36]
S J KWEON, S SHIN, J H PARK, et al. A CMOS low-power polar demodulator for electrical bioimpedance spectroscopy using adaptive self-sampling schemes[C]// Proc. IEEE Biomed. Circuits Syst. Conf.,2016:284-287.
Cited in this article [1]
[37]
N V HELLEPUTTE. A 345μW multi-sensor biomedical SoC with bio-impedance 3-channel ECG motion artifact reduction and integrated DSP[J]. IEEE J. Solid-State Circuits, 2015, 50(1):230-244.
Cited in this article [1]
[38]
M ZAMANI, Y REZAEIYAN, O SHOAEI, et al. A 7.2 μW magnitude/phase bio-impedance measurement front-end with PWM output in 0.18 μm CMOS[C]// Proc. IEEE Nordic Circuits Syst. Conf.,2021:1-5.
Cited in this article [2]
[39]
H HA. A Bio-Impedance Readout IC With Digital-Assisted Baseline Cancellation for Two-Electrode Measurement[J]. IEEE Journal of Solid-State Circuits, 2019, 54(11):2969-2979.
Cited in this article [1]
[40]
P KASSANOS, I F TRIANTIS, A DEMOSTHENOUS. A CMOS magnitude/phase measurement chip for impedance spectroscopy[J]. IEEE Sensors J., 2013, 13(6):2229-2236.
Cited in this article [2]
[41]
R F YAZICIOGLU, S KIM, T TORFS, et al. A 30 μW Analog Signal Processor ASIC for Portable Biopotential Signal Monitoring[J]. IEEE Journal of Solid-State Circuits, 2011, 46(1):209-223.
Cited in this article [1]
[42]
H REZAEE-DEHSORKH, N RAVANSHAD, A SHAMSAKI, et al. A Low-Power Single-Path Bio-Impedance Measurement System Using anAnalog-to-Digital Converter for I/Q Demodulation[J]. IEEE Transactions on Biomedical Circuits and Systems, 2022, 16(6):1129-1137.doi: 10.1109/TBCAS.2022.3213869.
Cited in this article [1]
[43]
焦御坤. 用于生物阻抗检测的集成电路设计[D]. 北京: 北京工业大学, 2024.
JIAO Y K. Integrated Circuit Design for Bioimpedance Detection[D]. Beijing: Beijing University of Technology, 2024 (in Chinese).
Cited in this article [1]
[44]
C S PARK, H KIM, K LEE, et al. A baseline-tracking single-channel I/Q impedance plethysmogram IC for neckband-based blood pressure and cardiovascular monitoring[J]. IEEE J. Solid-State Circuits, 2023, 58(7):2040-2052.
Cited in this article [1]
[45]
Q PAN, T QU, B TANG, et al. A 0.5 mΩ/√Hz dry-electrode bioimpedance interface with current mismatch cancellation and input impedance of 100 MΩ at 50 kHz[J]. IEEE J. Solid-State Circuits, 2023, 58(6):1735-1745.
Cited in this article [1]
[46]
T T ZHANG, H SON, J ZHAO, et al. A 26.6-119.3 μW 101.9 dB SNR direct digitization bio-impedance readout IC[J]. IEEE J. Solid-State Circuits, 2023, 58(9):2619-2631.
Cited in this article [1]
[47]
H HA. A bio-impedance readout IC with digital-assisted baseline cancellation for two-electrode measurement[J]. IEEE J. Solid-State Circuits, 2019, 54(11):2969-2979.
Cited in this article [1]
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