Simple implantable wireless sensor platform to measure pressure and force. (September 2018)

• Record Type: Journal Article
• Authors: Drazan, John F.; Abdoun, Omar T.; Wassick, Michael T.; Dahle, Reena; Beardslee, Luke; Marcus, George A.; Cady, Nathaniel C.; Ledet, Eric H.
• Is Part Of: Medical engineering & physics. Volume 59(2018)
• Page Start: 81
• Page End: 87
• Publication Date: 2018-09
• Subjects: Sensor -- Passive resonator -- Wireless -- Force -- Pressure; Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2018.06.006
• Languages: English
• ISSNs: 1350-4533

Abstract

Highlights: A simple passive wireless sensor is described. A lumped parameter model of sensor behavior is presented. Prototype force and pressure sensors were fabricated and tested. Sensors demonstrated a linear response to changes in force or pressure. Sensor performance agreed well with the lumped parameter model. Abstract: 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 ( R 2 > 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.