An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure
Open accessAbstract
Cardiovascular diseases are the leading cause of death in the U.K., motivating the use of long term wearable devices to monitor the heart in out-of-the-clinic settings. While a wide number of heart rate measuring wearable devices are now available, they are principally based upon photoplethysmography rather than the electrocardiogram (ECG) and arestand-alonedevices rather than integrated with Internet-of-Things infrastructures which collect and combine information from a wide range of sensors. This paper presents a wrist worn ECG sensor which integrates with the SPHERE IoT platform—the UK’s demonstrator platform for health monitoring in the home environment, combining a range of on-person and ambient sensors. The ECG device integrates ultralow power consumption electronics with personalizable 3-D printed casings which maintain gold standard Ag/AgCl electrodes to provide measurements of the raw ECG waveform, heart rate, and meanNN and SDNN heart rate variability parameters. The end device allows for more than a month of battery life for a weight of <50 g including the watch straps. The design and heart sensing performance of the device are presented in detail, together with the integration with the SPHERE IoT platform.
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Techniques that use PTT or PAT for BP estimation require a second signal, such as ECG at the wrist or a signal at the chest.
“Techniques that use PTT or PAT require a second signal, such as ECG at the wrist [155] or a signal at the chest.”
From Wearable Photoplethysmography for Cardiovascular Monitoring (2022) · cites this paper as [155]
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IoT data streams: concepts and models
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Security Challenges for Big Data and IoT
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Design of Deep Convolutional Neural Network Architectures for Denoising Electrocardiographic Signals
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FedSmartCare: Design and Implementation of a Federated Learning Enabled Vital-Sign Monitoring System
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A Concise Study on IoT-Based Health Care
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A High-Performance System for Weak ECG Real-Time Detection
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Heart Rate Arrhythmia Identification with Internet of Things and Machine Learning
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A Low-Cost Flexible Wrist ECG Sensor for Wearable Devices Application
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- Authors
- Beach, C., Krachunov, S., Pope, J., Fafoutis, X., Piechocki, R. J., Craddock, I., & Casson, A. J.
- Affiliations
- University of Manchester (GB)
- University of Cambridge (GB)
- University of Bristol (GB)
- Technical University of Denmark (DK)
- ORCID
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 44010-44021
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2887595165
- Cited by
- 91
- References
- 59
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 9 · 2023: 9 · 2022: 17 · 2021: 19 · 2020: 16 · 2019: 12
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- Explore Bristol Research (publishedVersion, cc-by)
- Bristol Research (University of Bristol) (publishedVersion, cc-by)
- Research Explorer (The University of Manchester) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- Funders
- Engineering and Physical Sciences Research Council (EP/K031910/1)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- electrocardiogram, ultra-low power electronics, wearable health monitoring, Internet of Things, Ag/AgCl electrodes, heart rate variability, heart rate measurement, battery life, cardiovascular disease monitoring, home health monitoring
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