Abstract
In this study, we propose an efficient wearable device to continuously and reliably monitor electrocardiogram (ECG) and body impedance (BI) that are two most important bio-signals for healthcare applications. Unlike most conventional systems that fail to synchronously provide a rich set of bio-signals because of their limitation on sensing a single type of signal, the proposed device faithfully analyzes a user's status only using two electrodes. To minimize measurement errors inherently induced by the sensing process caused by using two electrodes and sensing position dependency, we also propose an adaptive system control algorithm that are easy to switch the type of sensing signal and its measurement intervals by changing the setup parameters. Since the size of the device is very small and it is designed with a minimal belt-shape form for maximal user convenience, it is suitable for various types of wearable applications. Experiments performed in a couple of example healthcare scenario demonstrate the reliability of the proposed system.
Original language | English |
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Title of host publication | 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 141-144 |
Number of pages | 4 |
ISBN (Electronic) | 9781538624050 |
DOIs | |
Publication status | Published - 2018 Apr 6 |
Event | 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 - Las Vegas, United States Duration: 2018 Mar 4 → 2018 Mar 7 |
Publication series
Name | 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 |
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Volume | 2018-January |
Other
Other | 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018 |
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Country/Territory | United States |
City | Las Vegas |
Period | 18/3/4 → 18/3/7 |
Bibliographical note
Funding Information:ACKNOWLEGMENT This work was supported in part by the NRF and IITP grants funded by the Korean Government (MSIP) (NRF-2017R1C1B5018075, 2016-0-00562, 2017M3C4A7082523).
Publisher Copyright:
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Biomedical Engineering
- Health Informatics