1. Flow stabilization in wearable microfluidic sensors enables noise suppression
- Author
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I. Emre Araci, Sevda Agaoglu, Laura Rivas Yepes, Andrew Schmidt, Priscilla Diep, Ju Young Lee, and Matthew Martini
- Subjects
Materials science ,Microfluidics ,Flow (psychology) ,Biomedical Engineering ,Wearable computer ,Bioengineering ,02 engineering and technology ,01 natural sciences ,Biochemistry ,Noise (electronics) ,Wearable Electronic Devices ,business.industry ,010401 analytical chemistry ,Time constant ,General Chemistry ,Microfluidic Analytical Techniques ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Contact lens ,visual_art ,Electronic component ,visual_art.visual_art_medium ,Optoelectronics ,Equivalent circuit ,Noise ,0210 nano-technology ,business - Abstract
Dilatometric strain sensors (DSS) that work based on detection of volume change in microfluidic channels; i) are highly sensitive to biaxial strain, ii) can be fabricated using only soft and transparent materials, and iii) are easy to integrate with smart-phones. These features are especially attractive for contact lens based intraocular pressure (IOP) sensing applications. The inherent flow stabilization of the microfluidic systems is an additional advantage suitable for filtering out rapid fluctuations. Here, we have demonstrated that the low-pass filtering in microfluidic sensors improves the signal-to-noise-ratio for ophthalmic applications. We have fabricated devices with a time constant in the range of 1-200 seconds. We have demonstrated that the device architecture and working liquid viscosity (10-866 cSt) are the two independent factors that determine the sensor time constant. We have developed an equivalent circuit model for the DSS that accurately represents the experimental results thus can be used as a computational model for design and development of microfluidic sensors. For a sensor with the time constant of 4 s, we report that microfluidic signal filtering in IOP monitoring applications can suppress the rapid fluctuations (i.e., the noise due to ocular pulsation, blinking etc.) by 9 dB without the need for electronic components.
- Published
- 2019
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