What if a sweat measurement sensed and tracked women's pain levels over time? 

We hypothesize that the quantitative, non-invasive analysis of key sweat analytes — including glutamate, tryptophan, cortisol, estradiol, as well as serotonin and substance P— coupled with vital signs, could revolutionize chronic pain assessment by making it objective and personalized. This project seeks to develop a wireless multimodal wearable system to simultaneously monitor these sweat analytes along with vital signs. Through monitoring sweat biomarkers along with vital signs in women subjects with menstrual migraines using a single integrated wearable system and analyzing the data with machine learning, we could predict the levels of pain in real time.

Topic 5: Measurements of Chronic Pain