Abstract
Continuous monitoring of human physiological signals is critical to managing personal healthcare by early detection of health disorders. Wearable and implantable devices are attracting growing attention as they show great potential for real-time recording of physiological conditions and body motions. Conventional piezoelectric sensors have the advantage of potentially being self-powered, but have limitations due to their intrinsic lack of stretchability. Herein, a kirigami approach to realize a novel stretchable strain sensor is introduced through a network of cut patterns in a piezoelectric thin film, exploiting the anisotropic and local bending that the patterns induce. The resulting pattern simultaneously enhances the electrical performance of the film and its stretchability while retaining the mechanical integrity of the underlying materials. The power output is enhanced from the mechano-electric piezoelectric sensing effect by introducing an intersegment, through-plane, electrode pattern. By additionally integrating wireless electronics, this sensing network could work in an entirely battery-free mode. The kirigami stretchable piezoelectric sensor is demonstrated in cardiac monitoring and wearable body tracking applications. The integrated soft, stretchable, and biocompatible sensor demonstrates excellent in vitro and ex vivo performances and provides insights for the potential use in myriad biomedical and wearable health monitoring applications.
Original language | English |
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Article number | 1900100 |
Number of pages | 11 |
Journal | Advanced Materials Technologies |
Volume | 4 |
Issue number | 5 |
Early online date | 24 Feb 2019 |
DOIs | |
Publication status | Published - 24 Feb 2019 |
Structured keywords
- Bristol Composites Institute ACCIS
- Tactile Action Perception
Keywords
- kirigami
- metamaterials
- near-filed communication
- piezoelectric sensors
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Data from Stretchable Piezoelectric Sensing Systems for Self-powered and Wireless Health Monitoring
Scarpa, F. (Creator) & Sun, R. (Creator), University of Bristol, 12 Feb 2019
DOI: 10.5523/bris.360lx9c6dpohh2ncr64uujqm9s, http://data.bris.ac.uk/data/dataset/360lx9c6dpohh2ncr64uujqm9s
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