The DOI matches its Crossref record; 38 of the 41 references it cites were found in a registry or an index.
Flexible Technologies for Self-Powered Wearable Health and Environmental Sensing
Abstract
This article provides the latest advances from the NSF Advanced Self-powered Systems of Integrated sensors and Technologies (ASSIST) center. The work in the center addresses the key challenges in wearable health and environmental systems by exploring technologies that enable ultra-long battery lifetime, user comfort and wearability, robust medically validated sensor data with value added from multimodal sensing, and access to open architecture data streams. The vison of the ASSIST center is to use nanotechnology to build miniature, self-powered, wearable, and wireless sensing devices that can enable monitoring of personal health and personal environmental exposure and enable correlation of multimodal sensors. These devices can empower patients and doctors to transition from managing illness to managing wellness and create a paradigm shift in improving healthcare outcomes. This article presents the latest advances in high-efficiency nanostructured energy harvesters and storage capacitors, new sensing modalities that consume less power, low power computation, and communication strategies, and novel flexible materials that provide form, function, and comfort. These technologies span a spatial scale ranging from underlying materials at the nanoscale to body worn structures, and the challenge is to integrate them into a unified device designed to revolutionize wearable health applications.
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“Wearable sensors are helping clinical and healthcare services with the possible shift from centralized clinical diagnostics to more individualized and personalized home care [29,30] (Figure 1a).”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [29]
Citations
Cites
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Bio-Integrated Wearable Systems: A Comprehensive Review
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Smart Textiles for Electricity Generation
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A Survey of Wearable Devices and Challenges
Seneviratne, S., Hu, Y., Nguyen, T., Lan, G., Khalifa, S., Thilakarathna, K., Hassan, M., & Seneviratne, A. P. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2731979 · Cited by 880
Emerging Materials and Strategies for Personal Thermal Management
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Metadata
- Authors
- Misra, V., Bozkurt, A., Calhoun, B., Jackson, T., Jur, J., Lach, J., Lee, B., Muth, J., Oralkan, O., Ozturk, M., Trolier-McKinstry, S., Vashaee, D., Wentzloff, D., & Zhu, Y.
- Affiliations
- North Carolina State University (US)
- University of Virginia (US)
- Pennsylvania State University (US)
- University of Michigan (US)
- ORCID
- Venue
- Proceedings of the IEEE
- Published
- 2015-04
- Volume
- 103
- Issue
- 4
- Pages
- 665-681
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2105768242
- Cited by
- 202
- References
- 41
- Citations by year
- 2026: 5 · 2025: 16 · 2024: 14 · 2023: 21 · 2022: 13 · 2021: 20 · 2020: 29 · 2019: 30 · 2018: 16 · 2017: 19 · 2016: 15 · 2015: 4
- FWCI
- 8.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proceedings of the IEEE (publishedVersion)
- Funders
- National Science Foundation Nanoscience Engineering Research Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (EEC-1160483)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
- Keywords
- self-powered wearable sensors, energy storage capacitors, flexible materials, low-power sensing, low-power computation, low-power wireless communication, multimodal sensing, personal health monitoring, environmental exposure monitoring, nanotechnology
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