Toward a Wirelessly Powered On-Lens Intraocular Pressure Monitoring System
Autor: | Kai-Shiun Dai, Shun-Hsi Hsu, Jin-Chern Chiou, Yu-Te Liao, Cheng-Kai Kuei, Yu-Chieh Huang, Guan-Ting Yeh |
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Rok vydání: | 2016 |
Předmět: |
Materials science
Contact Lenses Capacitive sensing Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Communications system Capacitance Models Biological law.invention Health Information Management law Hardware_INTEGRATEDCIRCUITS 0202 electrical engineering electronic engineering information engineering Humans Electrical and Electronic Engineering Intraocular Pressure Monitoring Physiologic business.industry 020208 electrical & electronic engineering RF power amplifier Electrical engineering 020206 networking & telecommunications Signal Processing Computer-Assisted Equipment Design Chip Computer Science Applications Contact lens Lens (optics) Effective number of bits Embedded system business Wireless Technology Biotechnology |
Zdroj: | IEEE journal of biomedical and health informatics. 20(5) |
ISSN: | 2168-2208 |
Popis: | This paper presents a wireless on-lens intraocular pressure monitoring system, comprising a capacitance-to-digital converter and a wirelessly powered radio-frequency identification (RFID)-compatible communication system, for sensor control and data communication. The capacitive sensor was embedded on a soft contact lens of 200 μm thickness using commercially available biocompatible lens material, to improve compliance and reduce user discomfort. The sensor chip was shown to achieve effective number of bits greater than 10 over a capacitance range up to 50 pF while consuming only 64-μW power. The on-lens capacitive sensor could detect dielectric variation caused by changes in water content from a distance of 2 cm by using incident power from an RFID reader at 20 dBm. The maximum detectable distance was 11 cm with 30-dBm incident RF power. The rise in eye tissue temperature under 30-dBm RF exposure over an interval of 1 s was simulated and found to be less than 0.01°C. |
Databáze: | OpenAIRE |
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