The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Wearable Noncontact Armband for Mobile ECG Monitoring System
Abstract
One of the best ways to obtain health information is from an electrocardiogram (ECG). Through an ECG, characteristics such as patients' heartbeats, heart conditions, and heart disease can be analyzed. Unfortunately, most available healthcare devices do not provide clinical data such as information regarding patients' heart activities. Many researchers have tried to solve this problem by inventing wearable heart monitoring systems with a chest strap or wristband, but their performances were not feasible for practical applications. Thus, the aim of this study is to build a new system to monitor heart activity through ECG signals. The proposed system consists of capacitive-coupled electrodes embedded in an armband. It is considered to be a reliable, robust, and low-power-transmission ECG monitoring system. The reliability of this system was achieved by the careful placement of sensors in the armband. Bluetooth low energy (BLE) was used as the protocol for data transmission; this protocol was proposed to develop the low-power-transmission system. For robustness, the proposed system is equipped with analysis capabilities-e.g., real-time heartbeat detection and a filter algorithm to ignore distractions from body movements or noise from the environment.
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Citations
Cites
A Real-Time QRS Detection Algorithm
Pan, J., & Tompkins, W. J. (1985) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1985.325532 · Cited by 7,855
Cited by
Habibzadeh, H., Nussbaum, B. H., Anjomshoa, F., Kantarci, B., & Soyata, T. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101660 · Cited by 303
Performance Evaluation of Bluetooth Low Energy: A Systematic Review
Tosi, J., Taffoni, F., Santacatterina, M., Sannino, R., & Formica, D. (2017) · Sensors · doi:10.3390/s17122898 · Cited by 243
An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure
Beach, C., Krachunov, S., Pope, J., Fafoutis, X., Piechocki, R. J., Craddock, I., & Casson, A. J. (2018) · IEEE Access · doi:10.1109/access.2018.2864675 · Cited by 91
Wang, H., Li, J., McDonald, B. E., Farrell, T. R., Huang, X., & Clancy, E. A. (2023) · Sensors · doi:10.3390/s23052465 · Cited by 18
Metadata
- Authors
- Rachim, V. P., & Chung, W.-Y.
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2016-12
- Volume
- 10
- Issue
- 6
- Pages
- 1112-1118
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2395572751
- Cited by
- 177
- References
- 1
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rachim, V. P., & Chung, W.-Y. (2016). Wearable Noncontact Armband for Mobile ECG Monitoring System. IEEE Transactions on Biomedical Circuits and Systems. https://doi.org/10.1109/tbcas.2016.2519523
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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.
