Low-Power Wearable Systems for Continuous Monitoring of Environment and Health for Chronic Respiratory Disease
Open accessAbstract
We present our efforts toward enabling a wearable sensor system that allows for the correlation of individual environmental exposures with physiologic and subsequent adverse health responses. This system will permit a better understanding of the impact of increased ozone levels and other pollutants on chronic asthma conditions. We discuss the inefficiency of existing commercial off-the-shelf components to achieve continuous monitoring and our system-level and nano-enabled efforts toward improving the wearability and power consumption. Our system consists of a wristband, a chest patch, and a handheld spirometer. We describe our preliminary efforts to achieve a submilliwatt system ultimately powered by the energy harvested from thermal radiation and motion of the body with the primary contributions being an ultralow-power ozone sensor, an volatile organic compounds sensor, spirometer, and the integration of these and other sensors in a multimodal sensing platform. The measured environmental parameters include ambient ozone concentration, temperature, and relative humidity. Our array of sensors also assesses heart rate via photoplethysmography and electrocardiography, respiratory rate via photoplethysmography, skin impedance, three-axis acceleration, wheezing via a microphone, and expiratory airflow. The sensors on the wristband, chest patch, and spirometer consume 0.83, 0.96, and 0.01 mW, respectively. The data from each sensor are continually streamed to a peripheral data aggregation device and are subsequently transferred to a dedicated server for cloud storage. Future work includes reducing the power consumption of the system-on-chip including radio to reduce the entirety of each described system in the submilliwatt range.
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Environmental monitoring of humidity, harmful gases, and airborne particulates can provide valuable information for the prediction, management, and treatment of chronic diseases.
“humidity level, and concentration of harmful gases, and airborne particulates can provide valuable information for the prediction, management, and treatment of chronic diseases.[4,5]”
From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [5]
Wearable systems integrated with energy scavengers have been developed to eliminate the batteries or other energy storage devices.
“Wearable systems integrated with energy scavengers have been developed to eliminate the batteries or other energy storage devices.[5]”
From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [5]
Low-power solutions for integrating personal ozone exposure and volatile organic compound measures are beginning to appear.
“Toward the inclusion of multiple sensors to improve the accuracy of pulmonary disease efforts, low-power solutions for integrating personal ozone exposure and volatile organic compound measures are beginning to appear [127].”
From Wearables and the Medical Revolution (2018) · cites this paper as [127]
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References 44 · Cited by 212
Research works printed but not linked: 1
- [32]Zhou ZG Sensors and Actuators B: Special Issue: Proceedings of the … 2000 pt. 2 Elsevier
- Authors
- Dieffenderfer, J., Goodell, H., Mills, S., McKnight, M., Yao, S., Lin, F., Beppler, E., Bent, B., Lee, B., Misra, V., Zhu, Y., Oralkan, O., Strohmaier, J., Muth, J., Peden, D., & Bozkurt, A.
- Affiliations
- North Carolina State University (US)
- University of North Carolina at Chapel Hill (US)
- ORCID
- Venue
- IEEE Journal of Biomedical and Health Informatics
- Published
- 2016-09
- Volume
- 20
- Issue
- 5
- Pages
- 1251-1264
- ISSN
- 2168-2194 (ISSN-L)
- 2168-2208
- PMC
- PMC5124429
- OpenAlex
- W2398652830
- Cited by
- 212
- References
- 44
- Citations by year
- 2026: 12 · 2025: 21 · 2024: 18 · 2023: 19 · 2022: 25 · 2021: 31 · 2020: 14 · 2019: 24 · 2018: 32 · 2017: 13 · 2016: 3
- FWCI
- 11.57
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- IEEE Journal of Biomedical and Health Informatics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (EEC-1160483)
- Graduate Research Fellowship (DGE-1252376)
- National Institute for Environmental Health Sciences (3R01-ES023349)
- Environmental Protection Agency under Cooperative Agreement (CR 83578501)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- wearable sensors, chronic respiratory disease, asthma, ozone exposure, low-power sensor systems, kinetic energy harvesting, spirometer, multimodal sensing, photoplethysmography, electrocardiogram, respiratory rate estimation, expiratory flow, environmental monitoring, health monitoring
- MeSH terms
- Asthma, Chronic Disease, Electrocardiography, Equipment Design, Humans, Skin, Spirometry, Electric Impedance, Photoplethysmography, Monitoring, Ambulatory
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