Anxiety disorders are estimated to be the most common mental illness in US affecting around 40 million people and related job stress is estimated to cost US industry up to $300 billion due to lower productivity and absenteeism. A personal diagnostic device which could help identify stressed individuals would therefore be a huge boost for workforce productivity. We are therefore developing a point of care diagnostic device that can be integrated with smartphones or tablets for the measurement of cortisol - a stress related salivary biomarker, which is known to be strongly involved in body's fight-or-flight response to a stressor (physical or mental). The device is based around a competitive lateral flow assay whose results can then be read and quantified through an accessory compatible with the smartphone. In this presentation, we report the development and results of such an assay and the integrated device. We then present the results of a study relating the diurnal patterns of cortisol levels and the alertness of an individual based on the circadian rhythm and sleep patterns of the individual. We hope to use the insight provided by combining the information provided by levels of stress related to chemical biomarkers of the individual with the physical biomarkers to lead to a better informed and optimized activity schedule for maximized work output.
Aadhar Jain, Elizabeth Rey, Seoho Lee, Dakota O'Dell, and David Erickson, "StressPhone: smartphone based platform for measurement of cortisol for stress detection
(Conference Presentation)," Proc. SPIE 9699, Optics and Biophotonics in Low-Resource Settings II, 96990U (Presented at SPIE BiOS: February 14, 2016; Published: 3 May 2016); https://doi.org/10.1117/12.2212056.4848379556001.
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