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A model for digital sweat sensing devices

Sweat is a biomarker-rich fluid that contains information that can provide insights into the metabolic activity of the patient. To interpret the information from certain biomarkers the sweat rate of each gland needs to be known. An agent-based model was created to explore the potential improvement of current methods to obtain the sweat rate per gland. In a digital sweat sensing device, the continuous sweat flow is discretized into individual droplets. These droplets are detected by a sensor to create a signal. The model simulates these signals for different device designs and parameters. The model shows how different design choices can influence the signal. The results demonstrate the utility of the model, for both the development of a signal analysis method and the subsequent optimization of the device design.