Benchmark Data from the Literature for Evaluation of New Glucose Sensing Technologies

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Abstract
New glucose sensors based on various technologies are being developed to provide information for improved therapy in diabetes. There is a need to establish rational performance standards for these sensors. Frequently sampled, direct blood glucose recordings representative of blood glucose excursions in diabetes are the "gold standard." An extensive literature search revealed a limited number of diabetic and nondiabetic blood glucose recordings suitable for this purpose. Certain blood glucose recordings reflect the diversity of glycemic dynamics and provide sufficient challenge for evaluation of sensor systems. These recordings were converted into an accessible electronic format. An example is given of the use of these benchmark data to estimate aliasing error, or the error due to insufficient sampling frequency, based on a hypothetical sensor system having some properties of conventional "fingerstick" systems. Discrete sampling systems accumulate substantial aliasing error as the sampling period increases.