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Cited by 262

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An ultra-wearable, wireless, low power ECG monitoring system

Park, Chulsung, Chou, Pai H., Bai, Ying, Matthews, Robert, Hibbs, Andrew·2006·2006 IEEE Biomedical Circuits and Systems Conference

Abstract

Wearable electrocardiograph (ECG) monitoring systems today use electrodes that require skin preparation in advance, and require pastes or gels to make electrical contact to the skin. Moreover, they are not suitable for subjects at high levels of activity due to high noise spikes that can appear in the data. To address these problems, a new class of miniature, ultra low noise, capacitive sensor that does not require direct contact to the skin, and has comparable performance to gold standard ECG electrodes, has been developed. This paper presents a description and evaluation of a wireless version of a system based on these innovative ECG sensors. We use a wearable and ultra low power wireless sensor node called Eco. Experimental results show that the wireless interface will add minimal size and weight to the system while providing reliable, untethered operation.

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Crossref · 10.1109/biocas.2006.4600353

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Metadata

Authors
Park, C., Chou, P. H., Bai, Y., Matthews, R., & Hibbs, A.
Venue
2006 IEEE Biomedical Circuits and Systems Conference
Publisher
IEEE
Published
2006-11
Pages
241-244
OpenAlex
W2134411939
Cited by
262
References
1
FWCI
18.21
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An ultra-wearable, wireless, low power ECG monitoring system. https://app.cochat.ai/papers/10.1109/biocas.2006.4600353
The paper
Park, C., Chou, P. H., Bai, Y., Matthews, R., & Hibbs, A. (2006). An ultra-wearable, wireless, low power ECG monitoring system. 2006 IEEE Biomedical Circuits and Systems Conference. https://doi.org/10.1109/biocas.2006.4600353

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.