In collaboration with Dr. Manuel Hernandez, we are pleased to present our work on the RADWear study at the IEEE EMBC 46th International Conference of IEEE in Engineering Medicine and Biology Society on July 17th, 2024, in Orlando, Florida. This work includes preliminary results of using cardiovascular data from wearable devices for multiclass stressor identification with machine learning models as we are one more step closer to more robust and personalized models for anxiety detection and monitoring. Congratulations to Max for being selected as one of the Next Generation Scholar Award recipients!

Poster title: Physical, Social, and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device

Authors: Maxine He, Jonathan Cerna, Abdul Alkurdi, Ayse Dogan, Jennifer Zhao, Jean Clore, Rich Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez.