A low power miniaturized CMOS-based continuous glucose monitoring system

Continuous glucose monitoring: a systematic review of sensor systems and prospects

“…R 2 curve fitting is found to be 0.99509, >0.98, 0.92514 and 0.999 in Li et al (2012), Sun et al (2015), Lu et al (2016), and Li et al (2013), respectively. Similarly, the glucose concentration sensitivity level was found promising as 2-22, 0-20, 0-40 and 0-20 mM in Croce et al (2013), Tathireddy et al (2010), Ahmadi and Jullien (2009) and Nazari et al (2014), respectively. Effective detectable intensity changes were measured as 2.91±0.5% in Wang et al (2013).…”

“… Power consumption : Most of the articles did not explicitly mention how much power the implemented CGM sensor consume, although apprehended by analyzing the architectural notions. However, seven had mentioned the amount power consumed by particular CGM sensor such as 48.5 pW, 47 mW, <100 µW, 140 µW, five days battery life, <10 µW, 6 µW in Trung and H¨afliger (2013), Anabtawi et al (2016), Guan et al (2011), Croce et al (2013), Rosenbloom et al (2009), Ahmadi and Jullien (2009), and Nazari et al (2014), respectively. Hence, it may be assumed that overall CGM sensors are energy efficient with a few exceptions. Sensitivity : Reviewed articles present sensitivity metrics in different forms that include glucose concentration range, implied signal sensitivity, R 2 curve fitting signal wave excitation wavelength, etc.…”

“…Anabtawi et al (2016), Guan et al (2011) and Croce et al (2013) have introduced an efficient glucose sensor system that can be implanted in human body. The design of Croce et al (2013) is the simplest of three, as it uses thick polyvinyl alcohol (PVA) hydrogel containing poly (lactic-co-glycolic acid) (PLGA) in designing the glucose sensor. The glucose level signal received is seamlessly sent to the patient after performing signal processing.…”