More Web Proxy on the site http://driver.im/

research-article

Wireless noncontact ECG and EEG biopotential sensors

Authors:

Gert CauwenberghsAuthors Info & Claims

ACM Transactions on Embedded Computing Systems (TECS), Volume 12, Issue 4

Article No.: 103, Pages 1 - 19

https://doi.org/10.1145/2485984.2485991

Published: 03 July 2013 Publication History

Abstract

Wearable, unobtrusive and patient friendly physiological sensors will be a key driving force in the wireless health revolution. Cardiac (ECG) and brain (EEG) signals are two important signal modalities indicative of healthy and diseased states of body and mind that directly benefit from long-term monitoring. Despite advancements in wireless and embedded electronics technology, however, ECG/EEG monitoring devices still face problems with patient compliance and comfort from the use wet/gel electrodes. We have developed two wireless biopotential instrumentation systems using noncontact electrodes that can operate without direct skin contact and through thin layers of fabric. The first system is a general purpose replacement for traditional ECG/EEG telemetry systems and the second is a compact, fully self-contained wireless ECG tag. All of the issues relating to the design of low noise, high performance noncontact sensors are discussed along with full technical details, circuit schematics and construction techniques. The noncontact electrode has been integrated into both a wearable ECG chest harness as well an EEG headband and characterized in a battery of experiments that represent potential health applications including resting ECG, exercise ECG and EEG directly against standard clinical adhesive Ag/AgCl electrodes. With careful design and secure mechanical harnesses the noncontact sensor is capable of approaching the quality of conventional electrodes.

References

[1]

Chi, Y. and Cauwenberghs, G. 2009. Micropower non-contact EEG electrode with active common-mode noise suppression and input capacitance cancellation. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 4218--4221.

[2]

Chi, Y., Deiss, S., and Cauwenberghs, G. 2009. Non-contact low power EEG/ECG electrode for high density wearable biopotential sensor networks. In Proceedings of the 6th International Workshop on Wearable and Implantable Body Sensor Networks. 246--250.

Digital Library

[3]

Chi, Y. M., Ng, P., Kang, E., Kang, J., Fang, J., and Cauwenberghs, G. 2010a. Wireless non-contact cardiac and neural monitoring. In Proceedings of the Conference on Wireless Health.

Digital Library

[4]

Chi, Y., Jung, T.-P., and Cauwenberghs, G. 2010b. Dry-contact and noncontact biopotential electrodes: Methodological review. IEEE Rev. Biomed. Eng. 3, 106--119.

[5]

Clippingdale, A., Clark, R. J., and Watkins, C. 1994. Ultrahigh impedance capacitively coupled heart imaging array. Rev. Sci. Instrum. 65, 1, 269--270.

[6]

Feild, D. Q., Feldman, C. L., and Horáček, B. M. 2002. Improved EASI coefficients: Their derivation, values, and performance. J. Electrocardiology 35, 4, Part 2, 23--33.

[7]

Gravitz, L. 2010. Biosensors comfortable enough to wear 24--7. MIT Tech. Rev.

[8]

Harland, C. J., Clark, T. D., and Prance, R. J. 2002. Electric potential probes - new directions in the remote sensing of the human body. Meas. Sci. Technol. 13, 2, 163.

[9]

He, B. and Cohen, R. 1992. Body surface Laplacian ECG mapping. IEEE Trans. Biomed. Eng. 39, 11, 1179--1191.

[10]

Kim, K. K., Lim, Y. K., and Park, K. S. 2005. Common mode noise cancellation for electrically noncontact ECG measurement system on a chair. In Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 5881--5883.

[11]

Lee, J., Pearce, F., Morrissette, C., Hibbs, A., and Matthews, R. 2005. Evaluating a capacitively coupled, noncontact electrode for ECG monitoring. Sensors Mag.

[12]

Li, H. and Tan, J. 2006. Body sensor network based context aware qrs detection. In Proceedings of the Pervasive Health Conference and Workshops. 1--8.

[13]

Lopez, A. and Richardson, P. C. 1969. Capacitive electrocardiographic and bioelectric electrodes. IEEE Trans. Biomed. Eng. 16, 1, 99--99.

[14]

Matthews, R., McDonald, N., Hervieux, P., Turner, P., and Steindorf, M. 2007. A wearable physiological sensor suite for unobtrusive monitoring of physiological and cognitive state. In Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 5276--5281.

[15]

MettingVanRijn, A. C., Peper, A., and Grimbergen, C. 1994. Amplifiers for bioelectric events: A design with a minimal number of parts. Med. Biol. Eng. Comput.

[16]

Park, C., Chou, P., Bai, Y., Matthews, R., and Hibbs, A. 2006. An ultra-wearable, wireless, low power ECG monitoring system. In Proceedings of the IEEE Biomedical Circuits and Systems Conference. 241--244.

[17]

Searle, A. and Kirkup, L. 2000. A direct comparison of wet, dry and insulating bioelectric recording electrodes. Physiol. Meas. 21, 2, 271.

[18]

Sullivan, T., Deiss, S., and Cauwenberghs, G. 2007. A low-noise, non-contact EEG/ECG sensor. In Proceedings of the IEEE Biomedical Circuits and Systems Conference. 154--157.

[19]

Sullivan, T., Deiss, S., Jung, T.-P., and Cauwenberghs, G. 2008. A brain-machine interface using dry-contact, low-noise EEG sensors. In Proceedings of the IEEE International Symposium on Circuits and Systems. 1986--1989.

[20]

Valchinov, E. and Pallikarakis, N. 2004. An active electrode for biopotential recording from small localized bio-sources. BioMedical Engineering OnLine 3, 1, 25.

[21]

Winter, B. B. and Webster, J. G. 1983. Driven-right-leg circuit design. IEEE Trans. Biomed. Eng. 30, 1, 62--66.

Cited By

Gao KLi LJi BWu N(2024)Pin-Shaped Ag/AgCl Fabric Electrode Coated With Hydrogel for EEG Recording in Hairy AreasIEEE Sensors Journal10.1109/JSEN.2024.342626824:16(25316-25327)Online publication date: 15-Aug-2024
https://doi.org/10.1109/JSEN.2024.3426268
Zhao JFeng SCao XZheng H(2024)Wearable sensors for monitoring vital signals in sports and health: progress and perspectiveSensor Review10.1108/SR-02-2024-008044:3(301-330)Online publication date: 16-Apr-2024
https://doi.org/10.1108/SR-02-2024-0080
Gao KWu NJi BLiu J(2023)A Film Electrode upon Nanoarchitectonics of Bacterial Cellulose and Conductive Fabric for Forehead Electroencephalogram MeasurementSensors10.3390/s2318788723:18(7887)Online publication date: 14-Sep-2023
https://doi.org/10.3390/s23187887
Show More Cited By

Index Terms

Wireless noncontact ECG and EEG biopotential sensors
1. Applied computing
  1. Life and medical sciences
  2. Physical sciences and engineering

Recommendations

Wireless non-contact biopotential electrodes
WH '10: Wireless Health 2010

Ubiquitous physiological monitoring will be a key driving force in the upcoming wireless health revolution. Cardiac and brain signals in the form of ECG and EEG are two critical health indicators that directly benefit from long-term monitoring. Despite ...
Wireless Non-contact EEG/ECG Electrodes for Body Sensor Networks
BSN '10: Proceedings of the 2010 International Conference on Body Sensor Networks

A wireless EEG/ECG system using non-contact sensors is presented. The system consists of a set of simple capacitive electrodes manufactured on a standard printed circuit board that can operate through fabric or other insulation. Each electrode provides ...
Electrograms (ECG, EEG, EMG, EOG)

There is a constant need in medicine to obtain objective measurements of physical and cognitive function as the basis for diagnosis and monitoring of health. The body can be considered as a chemical and electrical system supported by a mechanical ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Transactions on Embedded Computing Systems

ACM Transactions on Embedded Computing Systems Volume 12, Issue 4

Special Section on Wireless Health Systems, On-Chip and Off-Chip Network Architectures

June 2013

288 pages

ISSN:1539-9087

EISSN:1558-3465

DOI:10.1145/2485984

Issue’s Table of Contents

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Journal Family

ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 03 July 2013

Accepted: 01 September 2011

Revised: 01 June 2011

Received: 01 January 2011

Published in TECS Volume 12, Issue 4

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Research
Refereed

Funding Sources

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

17
Total Citations
View Citations
1,376
Total Downloads

Downloads (Last 12 months)69
Downloads (Last 6 weeks)5

Reflects downloads up to 19 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Gao KLi LJi BWu N(2024)Pin-Shaped Ag/AgCl Fabric Electrode Coated With Hydrogel for EEG Recording in Hairy AreasIEEE Sensors Journal10.1109/JSEN.2024.342626824:16(25316-25327)Online publication date: 15-Aug-2024
https://doi.org/10.1109/JSEN.2024.3426268
Zhao JFeng SCao XZheng H(2024)Wearable sensors for monitoring vital signals in sports and health: progress and perspectiveSensor Review10.1108/SR-02-2024-008044:3(301-330)Online publication date: 16-Apr-2024
https://doi.org/10.1108/SR-02-2024-0080
Gao KWu NJi BLiu J(2023)A Film Electrode upon Nanoarchitectonics of Bacterial Cellulose and Conductive Fabric for Forehead Electroencephalogram MeasurementSensors10.3390/s2318788723:18(7887)Online publication date: 14-Sep-2023
https://doi.org/10.3390/s23187887
Ju FWang YYin BZhao MZhang YGong YJiao C(2023)Microfluidic Wearable Devices for Sports ApplicationsMicromachines10.3390/mi1409179214:9(1792)Online publication date: 19-Sep-2023
https://doi.org/10.3390/mi14091792
Liu QYang LZhang ZYang HZhang YWu J(2023)The Feature, Performance, and Prospect of Advanced Electrodes for ElectroencephalogramBiosensors10.3390/bios1301010113:1(101)Online publication date: 6-Jan-2023
https://doi.org/10.3390/bios13010101
Sun WGuo ZYang ZWu YLan WLiao YWu XLiu Y(2022)A Review of Recent Advances in Vital Signals Monitoring of Sports and Health via Flexible Wearable SensorsSensors10.3390/s2220778422:20(7784)Online publication date: 13-Oct-2022
https://doi.org/10.3390/s22207784
Owyeung RZeng WSonkusale S(2022)Eutectogel Electrodes for Long-Term Biosignal Monitoring2022 IEEE Sensors10.1109/SENSORS52175.2022.9967321(1-4)Online publication date: 30-Oct-2022
https://doi.org/10.1109/SENSORS52175.2022.9967321
Khan ARasool S(2022)Game induced emotion analysis using electroencephalographyComputers in Biology and Medicine10.1016/j.compbiomed.2022.105441145:COnline publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.compbiomed.2022.105441
Lin CWang CHuang KHorng SLiao L(2021)Wearable, Multimodal, Biosignal Acquisition System for Potential Critical and Emergency ApplicationsEmergency Medicine International10.1155/2021/99546692021(1-10)Online publication date: 10-Jun-2021
https://doi.org/10.1155/2021/9954669
Wang XWu WChen SLi GLiu SZhu MWang XLiu ZJiang YWang DLi PSamuel O(2019)Performance of Flexible Non-contact Electrodes in Bioelectrical Signal Measurements2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)10.1109/RCAR47638.2019.9044127(175-179)Online publication date: Aug-2019
https://doi.org/10.1109/RCAR47638.2019.9044127
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents