Smart Garments for Perinatal Care

Using Radio Frequency Identification (RFID) chips such as those found in toll collection systems like EZ-Pass, we are investigating the use of wireless, passive, wearable smart garments that can enable continuous biomedical monitoring. This monitoring includes uterine contraction monitoring during labor and delivery, respiratory monitoring for infant sleep apnea detection, and motion monitoring to predict the symptoms of a blood clot that could lead to DVT. Using machine learning and statistical signal processing, we interpret changes in RF signal properties to estimate the human subject biomedical state, which can inform alerting and customized on-demand therapeutic response.