Electrochemical impedance spectroscopy wearable systems for reporting biomarker modulation in sweat

The commercial wearable device market today majorly consists of activity trackers and smartwatches: that enable the monitoring of user states such as walking, sleeping, and exercising using sensors relying on physically measurable quantities. These devices are the ones that make a huge impact on the lives of people suffering from chronic illnesses and their quality of life. Integrating a sweat-based electrochemical biosensor with a wearable device opens new avenues in health management and decision support systems for healthcare providers as they can provide a physiologically relevant and clinically acceptable output. Integrating a glucose-sensing sweat biosensor adds more value in the lives of diabetics, who require support in terms of balancing quality of life using good diet and exercise routines. This work is a methodology of understanding the aspects of making such a wearable platform, starting from understanding the needs of the wearable device user population. The current market technology is thoroughly studied to pick relevant aspects and an electronic front end is designed within the bounds of good design practice to enable good accuracy, ease of use, and 1-week battery life. This in turn is utilized to collect human subject data to get an understanding of the performance of the sensors in varying environmental conditions and user states. Finally, mathematical modeling approaches are used to build correlations between the outcome to be presented to the user against change in the recorded data features as per the human subject experimentation.