2017
DOI: 10.1002/adfm.201605271
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Wearable and Miniaturized Sensor Technologies for Personalized and Preventive Medicine

Abstract: The unprecedented medical achievements of the last century have dramatically improved our quality of life. Today, the high cost of many healthcare approaches challenges their long‐term financial sustainability and translation to a global scale. The convergence of wearable electronics, miniaturized sensor technologies, and big data analysis provides novel opportunities to improve the quality of healthcare while decreasing costs by the very early stage detection and prevention of fatal and chronic diseases. Here… Show more

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Cited by 289 publications
(212 citation statements)
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“…was studied. When the filter was kept in K 3 [Fe(CN) 6 ] solution for 15 s, incomplete impregnation and a wide dispersion in found skin AOA values were observed. Holding the filter in the solution for 10 minutes resulted in excessive swelling and loosening of the filter material, its instability to subsequent mechanical actions.…”
Section: Wetting Time Of the Membrane Materials (Filter)mentioning
confidence: 99%
“…was studied. When the filter was kept in K 3 [Fe(CN) 6 ] solution for 15 s, incomplete impregnation and a wide dispersion in found skin AOA values were observed. Holding the filter in the solution for 10 minutes resulted in excessive swelling and loosening of the filter material, its instability to subsequent mechanical actions.…”
Section: Wetting Time Of the Membrane Materials (Filter)mentioning
confidence: 99%
“…This technology can be extended to create a localized ion map under the microfluidic lens, continuously monitor allergens, and test systemic diseases including kidney function. With over hundred unanalyzed biomarkers in tear fluid, the exploitation of quantitative analysis through the microfluidic contact lens technology has the potential to create new diagnosis and treatment options in personalized medicine …”
Section: Resultsmentioning
confidence: 99%
“…CGM data can also be combined with variables and signals collected by other wearable sensors, not specific for use in diabetes, like smart-watches [96,97] monitoring subject mobility, smart clothes measuring biometrics and activity [98,99] or miniaturized sensors for other biomarkers based on tears, saliva, sweat and breath analysis [100].…”
Section: Integration Of Cgm Data With Other Data Sources: Towards Bigmentioning
confidence: 99%