Targeted Temperature Management (TTM) is an emerging clinical technology designed to regulate the body temperature of post-cardiac arrest patients within the range of 32°C–34°C. This precise temperature control aims to reduce cerebral oxygen metabolism, thus stabilizing the medical condition of these patients. In the context of the COVID-19 pandemic, the importance of contactless healthcare and automated systems has grown significantly. This study leverages millimeter wave technology, a non-invasive approach, to gather comprehensive physiological data from patients, providing valuable insights into their overall health status. Beyond developing a predictive model for assessing TTM effectiveness, this research rigorously evaluates the data collection capabilities of millimeter wave technology, shedding light on its potential contributions to modern healthcare.
Lo, Chia-Lun and Yang, Tsung-Lung, "Development of an AI-based alert system for targeted temperature management patients using machine learning and millimeter-wave technology" (2023). ICEB 2023 Proceedings (Chiayi, Taiwan). 12.