摘要:
In one embodiment, a method of performing a structured collection protocol by utilizing a collection device comprising a processor may include collecting at least one sample using the collection device. The at least one sample can be associated with biomarker data. A classification can be associated with the at least one sample via the processor. The classification can be based upon an intended use of the at least one sample. Compliance with an adherence criteria for the at least one sample can be determined via the processor. When the at least one sample is not compliant with the adherence criteria, an adherence event can be associated with the at least one sample, and the processor can perform at least one additional task that is based upon the classification associated with the at least one sample.
摘要:
A system and method is provided for analyzing a glucose state. A method may include identifying a target glucose state and an initial glucose state. The method may include calculating a target return path for a transition from the initial glucose state to the target glucose state. The target return path may comprise at least one intermediate glucose state associated with the transition from the initial glucose state to the target glucose state. The target return path may be calculated based on a hazard associated with the at least one intermediate glucose state of the target return path.
摘要:
A method for calibrating a handheld diabetes managing device based on data generated by a continuous glucose monitor. The method can include sampling a current of the continuous glucose monitor at a sampling interval over a time period to generate a plurality of current samples for the time period. The method can also include determining a mean, median and standard deviation of the plurality of current samples. The blood glucose level of the patient can be measured at a first time and a calibration equation that associates the plurality of current samples with the estimated glucose level of the patient based on the measured blood glucose level and the plurality of current samples can be determined when the standard deviation is less than a first threshold and an absolute value of a difference between the mean and median is less than a second threshold.
摘要:
Embodiments related to a system and method managing the implementation, execution, data collection, data analysis and status reporting of a structured collection procedure running on a portable, hand-held collection device are disclosed. The collection device performing the structured collection procedure has program instructions that when executed by a processor cause the processor to initiate automatically a schedule of events of the structured collection procedure upon one or more entry criteria being met at some unknown time, store in memory patient data collected in accordance to the schedule of events, end automatically the structured collection procedure upon one or more exit criteria being met at some unknown time. Status reporting can be provided throughout the execution of the collection procedure.
摘要:
A system and technique for modeling the effects of exercise is described that reduces the number of parameters needed to predict the effects of exercise on blood glucose levels during exercise. This exercise model includes two parameters that are readily determined, exercise sensitivity (Kex) and an inverse time constant for the exercise effect (aex). Once these parameters are determined, all that is required to model the effect of exercise is single binary input called the exercise input (Uex). Consequently, this model is independent of aerobic exercise intensity and does not require the complexity of collecting additional information during exercise, such as heart rate and venous oxygen levels. By not depending on these measures of exercise intensity, no additional measurement devices are required, which in turn results in lower costs and more patient comfort.
摘要:
Embodiments of a testing method for optimizing a therapy to a diabetic patient comprise collecting at least one sampling set of biomarker data, computing a probability distribution function, a hazard function, a risk function, and a risk value for the sampling set of biomarker data, wherein the probability distribution function is calculated to approximate the probability distribution of the biomarker data, the hazard function is a function which yields higher hazard values for biomarker readings in the sampling set indicative of higher risk of complications, the risk function is the product of the probability distribution function and the hazard function, and the risk value is calculated by the integral of the risk function, minimizing the risk value by adjusting the diabetic patient's therapy, and exiting the testing method when the risk value for at least one sampling set is minimized to an optimal risk level.