2019
DOI: 10.1016/j.snb.2019.01.121
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Wearable-band type visible-near infrared optical biosensor for non-invasive blood glucose monitoring

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Cited by 141 publications
(99 citation statements)
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“…Flexible biosensors demand highly mechanical durability and stability as these devices will be attached to various deformable surfaces. [35][36][37] We first studied the relative electrode resistance change (R n /R 0 ) versus number of bending cycles. The bending radius is about 0.5 cm (Figure 5a).…”
Section: Wwwadvmatinterfacesdementioning
confidence: 99%
“…Flexible biosensors demand highly mechanical durability and stability as these devices will be attached to various deformable surfaces. [35][36][37] We first studied the relative electrode resistance change (R n /R 0 ) versus number of bending cycles. The bending radius is about 0.5 cm (Figure 5a).…”
Section: Wwwadvmatinterfacesdementioning
confidence: 99%
“…On other hand, using dermal biosensors to control glucose levels is a novel technique that allows the measurement of blood levels to be a non-intrusive technology for patients. This new method is based on a band that is placed on the wrist; through combined near-visible infrared spectroscopy (Vis-NIR), it allows the measurement of glucose found mainly in arterial blood [177].…”
Section: Total Internal Reflection Fluorescence (Tirf) Biosensorsmentioning
confidence: 99%
“…The biosensor will satisfy the need of diabetic patients when the biosensor consists of following properties like durable, easy to use, and higher in sensitivity and long term stability Artificial intelligence and biological sciences can come together to develop the more efficient non-invasive sensor for glucose monitoring. The biosensor is a special purpose transducer which converts biological data into an electrical signal [1][2][3][4][5][6][7]. Table no 1 shows different biosensor and their future scopes.…”
Section: A Recent Sensor Technology For Glucose Monitoringmentioning
confidence: 99%
“…Sensor technology plays a significant role in this area, which works on the concept of Biological mechanism. This biosensor uses different media for analysis like Interstitial Fluid (ISF), sweat, tears Saliva and many other [1][2][3][4][5][6][7]. Another basic area where Artificial intelligence can provide a unique solution is in terms of estimating diabetic patient's carbohydrate intakes monitoring.…”
Section: Introductionmentioning
confidence: 99%