Simple implantable wireless sensor platform to measure pressure and force
| Autor: | George A. Marcus, Eric H. Ledet, John F. Drazan, Michael T. Wassick, Luke A. Beardslee, Reena Dahle, Nathaniel C. Cady, Omar T. Abdoun |
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| Rok vydání: | 2018 |
| Předmět: |
SIMPLE (military communications protocol)
business.industry Computer science 020208 electrical & electronic engineering Biomedical Engineering Biophysics Measure (physics) Prostheses and Implants 02 engineering and technology 021001 nanoscience & nanotechnology Span (engineering) Pressure sensor Article Telemetry Pressure 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless Sensitivity (control systems) 0210 nano-technology business Wireless Technology Signal conditioning Mechanical Phenomena |
| Zdroj: | Medical Engineering & Physics. 59:81-87 |
| ISSN: | 1350-4533 |
| DOI: | 10.1016/j.medengphy.2018.06.006 |
| Popis: | Smart implants have the potential to enable personalized care regimens for patients. However, the integration of smart implants into daily clinical practice is limited by the size and cost of available sensing technology. Passive resonant sensors are an attractive alternative to traditional sensing technologies because they obviate the need for on-sensor signal conditioning or telemetry and are substantially simpler, smaller, less expensive, and more robust than other sensing methods. We have developed a novel simple, passive sensing platform that is adaptable to a variety of applications. Sensors consist of only two disconnected parallel Archimedean spiral coils and an intervening solid dielectric layer. When exposed to force or pressure, the resonant frequency of the circuit shifts which can be measured wirelessly. We fabricated prototype pressure sensors and force sensors and compared their performance to a lumped parameter model which predicts sensor behavior. The sensors exhibited a linear response (R2 > 0.91) to dynamic changes in pressure or force with excellent sensitivity. Experimental data were within 13.3% and 6.2% of the values predicted by the model for force and pressure respectively. Results demonstrate that the sensors can be adapted to measure various measurands through a span of sensitivities and ranges by appropriate selection of the intervening layer. |
| Databáze: | OpenAIRE |
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