A Practical Cyber-Physical System for the Self-Capture of the Effect of Exercise on Blood Glucose Levels

The availability of wearable technology has increased in recent years, with estimates putting the industry at $34 billion by 2020. One of the biggest markets in the wearable technology industry is fitness wearables, which collect information on a user's physical activities through time and store the information on a smartphone. Exercise is an important factor in affecting blood glucose levels, which are an important health indicator in general but particularly important for individuals with diabetes. Fitness wearables for the first time provide a convenient way for the general public to capture their day-to-day activity levels and store these data in an easy-to-access format. In conjunction with measuring blood glucose levels, this also then provides a new method for individuals to understand and quantify the effect of exercise on their own blood glucose levels. In this paper, we outline a method and a practical cyber-physical system for use by individuals, and those with diabetes in particular, to be able to better quantify the effects of their own exercise and activity and hence improve health and the management of diabetes.

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