The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Noncontact Wearable Wireless ECG Systems for Long-Term Monitoring
Abstract
Electrocardiography (ECG) is the most common and extensively used vital sign monitoring method in modern healthcare systems. Different designs of ambulatory ECG systems were developed as alternatives to the commonly used 12-lead clinical ECG systems. These designs primarily focus on portability and user convenience, while maintaining signal integrity and lowering power consumption. Here, a wireless ECG monitoring system is developed using flexible and dry capacitive electrodes for long-term monitoring of cardiovascular health. Our capacitive-coupled dry electrodes can measure ECG signals over a textile-based interface material between the skin and electrodes. The electrodes are connected to a data acquisition system that receives the raw ECG signals from the electrodes and transmits the data using Bluetooth to a computer. A software application was developed to process, store, and display the ECG signal in real time. ECG measurements were obtained over different types of textile materials and in the presence of body movements. Our experimental results show that the performance of our ECG system is comparable to other reported ECG monitoring systems. In addition, to put this research into perspective, recent ambulatory ECG monitoring systems, ECG systems-on-chip, commercial ECG monitoring systems, and different state-of-the-art ECG systems are reviewed, compared, and critically discussed.
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Cites
Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains
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CNT/PDMS Composite Flexible Dry Electrodesfor Long-Term ECG Monitoring
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A wireless wearable ECG sensor for long-term applications
Nemati, E., Deen, M., & Mondal, T. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6122530 · Cited by 418
Self-citationVan Helleputte, N., Konijnenburg, M., Pettine, J., Jee, D.-W., Kim, H., Morgado, A., Van Wegberg, R., Torfs, T., Mohan, R., Breeschoten, A., et al. (2015) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2014.2359962 · Cited by 253
Novel dry electrodes for ECG monitoring
Gruetzmann, A., Hansen, S., & Müller, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/11/005 · Cited by 248
Wearable silver nanowire dry electrodes for electrophysiological sensing
Myers, A. C., Huang, H., & Zhu, Y. (2015) · RSC Advances · doi:10.1039/c4ra15101a · Cited by 231
A 0.20 $\text {mm}^2$ 3 nW Signal Acquisition IC for Miniature Sensor Nodes in 65 nm CMOS
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A 0.7-V 17.4-/spl mu/W 3-Lead Wireless ECG SoC
Khayatzadeh, M., Zhang, X., Tan, J., Liew, W.-S., & Lian, Y. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2279398 · Cited by 73
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Homecare robotic systems for healthcare 4.0: visions and enabling technologies
Yang, G., Pang, Z., Jamal Deen, M., Dong, M., Zhang, Y.-T., Lovell, N., & Rahmani, A. M. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2990529 · Cited by 213
Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges
Faisal, A. I., Majumder, S., Mondal, T., Cowan, D., Naseh, S., & Deen, M. J. (2019) · Sensors · doi:10.3390/s19112629 · Cited by 187
Self-citationWearable Skin Sensors and Their Challenges: A Review of Transdermal, Optical, and Mechanical Sensors
Ahmad Tarar, A., Mohammad, U., & K. Srivastava, S. (2020) · Biosensors · doi:10.3390/bios10060056 · Cited by 119
Metadata
- Authors
- Majumder, S., Chen, L., Marinov, O., Chen, C.-H., Mondal, T., & Deen, M. J.
- Venue
- IEEE Reviews in Biomedical Engineering
- Published
- 2018
- Volume
- 11
- Pages
- 306-321
- ISSN
- 1937-3333 (ISSN-L)
- 1941-1189
- OpenAlex
- W2806660488
- Cited by
- 165
- References
- 8
- FWCI
- 6.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Majumder, S., Chen, L., Marinov, O., Chen, C.-H., Mondal, T., & Deen, M. J. (2018). Noncontact Wearable Wireless ECG Systems for Long-Term Monitoring. IEEE Reviews in Biomedical Engineering. https://doi.org/10.1109/rbme.2018.2840336
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