An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare
Abstract
Public healthcare has been paid an increasing attention given the exponential growth human population and medical expenses. It is well known that an effective health monitoring system can detect abnormalities of health conditions in time and make diagnoses according to the gleaned data. As a vital approach to diagnose heart diseases, ECG monitoring is widely studied and applied. However, nearly all existing portable ECG monitoring systems cannot work without a mobile application, which is responsible for data collection and display. In this paper, we propose a new method for ECG monitoring based on Internet-of-Things (IoT) techniques. ECG data are gathered using a wearable monitoring node and are transmitted directly to the IoT cloud using Wi-Fi. Both the HTTP and MQTT protocols are employed in the IoT cloud in order to provide visual and timely ECG data to users. Nearly all smart terminals with a web browser can acquire ECG data conveniently, which has greatly alleviated the cross-platform issue. Experiments are carried out on healthy volunteers in order to verify the reliability of the entire system. Experimental results reveal that the proposed system is reliable in collecting and displaying real-time ECG data, which can aid in the primary diagnosis of certain heart diseases.
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Other data cleaning strategies, such as spectral frequency filters, depend upon the type of sensor being utilized in the wearable sensor.
“Other strategies (e.g. spectral frequency filters), will depend upon the type of the sensor being utilized in the wearable sensor57.”
From Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research (2020) · cites this paper as [57]
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- Authors
- Yang, Z., Zhou, Q., Lei, L., Zheng, K., & Xiang, W.
- Affiliations
- Beijing University of Posts and Telecommunications (CN)
- Beijing Jiaotong University (CN)
- James Cook University (AU)
- Corresponding author
- Zheng, Kan
- Venue
- Journal of Medical Systems
- Published
- 2016-10-29
- Volume
- 40
- Issue
- 12
- Pages
- 286-286
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2541133059
- Cited by
- 490
- References
- 25
- Citations by year
- 2026: 10 · 2025: 33 · 2024: 40 · 2023: 55 · 2022: 70 · 2021: 100 · 2020: 68 · 2019: 63 · 2018: 33 · 2017: 17
- FWCI
- 31.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- ResearchOnline at James Cook University (James Cook University) (submittedVersion)
- Funders
- National High-Tech Research and Development Program (863 Program) (2015AA01A705)
- China Natural Science Funding (61331009)
- National Key Technology Research and Development Program of China (2015ZX03002009-004)
- Fundamental Research Funds for the Central Universities (2014ZD03- 02)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- wearable ECG monitoring, Internet of Things, IoT cloud, smart healthcare, heart disease diagnosis, MQTT protocol, HTTP protocol, Wi-Fi data transmission
- MeSH terms
- Cloud Computing, Smartphone, Humans, Telemetry, Reproducibility of Results, Electrocardiography, Ambulatory, Internet, Remote Sensing Technology, Mobile Applications
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