Wireless Capacitive-Based ECG Sensing for Feature Extraction and Mobile Health Monitoring
Abstract
In this paper, the concept of a wireless wearable device capable of measuring electrocardiogram (ECG) and respiration rate (RR) through the use of non-contact capacitive-based electrodes was designed and implemented. Both ECG and RR were measured using only the active electrodes and an analog conditioning circuit. The device utilizes Bluetooth low energy for low-power wireless communication to the remote server. The measured data is used to calculate heart rate variability, RR, and extract ECG related features. It was found that the use of non-contact active chest electrodes is a viable approach for measurement. The system focuses on user comfort and the minimization of the ratio of the number of wearable sensors to sensed physiological parameters.
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The two most widely adopted sensor data types are ECG and photoplethysmography (PPG).
“The two most widely adopted sensor data types are ECG and photoplethysmography (PPG) [166–168].”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [167]
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Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
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Self-citation
- Authors
- Wannenburg, J., Malekian, R., & Hancke, G. P.
- Affiliations
- University of Pretoria (ZA)
- Venue
- IEEE Sensors Journal
- Published
- 2018-07-15
- Volume
- 18
- Issue
- 14
- Pages
- 6023-6032
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W2806290004
- Cited by
- 66
- References
- 26
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 8 · 2023: 8 · 2022: 8 · 2021: 8 · 2020: 14 · 2019: 11 · 2018: 2
- FWCI
- 3.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Sensors Journal (publishedVersion)
- UpSpace Institutional Repository (University of Pretoria) (submittedVersion)
- Funders
- National Research Foundation of South Africa (IFR160118156967, RDYR160404161474)
- 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
- capacitive electrodes, wearable sensors, respiration rate monitoring, heart rate variability, ECG feature extraction, Bluetooth Low Energy, mobile health monitoring, low-power wireless communication
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