Publications by authors named "Max Bursey"
Early Prediction of Impending Exertional Heat Stroke With Wearable Multimodal Sensing and Anomaly Detection.
IEEE J Biomed Health Inform
December 2023
Article Synopsis
- Researchers used wearable sensors to monitor heart rate and movement in US Army Rangers and Combat Engineers during intense marches, aiming to predict exertional heat stroke (EHS) early on.
- Data from 478 participants were analyzed using machine learning to assess physical strain and stress, successfully predicting EHS up to 69 minutes before it occurred in three cases.
- The study suggests that this predictive method can be adapted to other activities and improved with new sensor technology, potentially aiding in health intervention strategies.
Objective: Exertional heat stroke (EHS), characterised by a high core body temperature (Tcr) and central nervous system (CNS) dysfunction, is a concern for athletes, workers and military personnel who must train and perform in hot environments. The objective of this study was to determine whether algorithms that estimate Tcr from heart rate and gait instability from a trunk-worn sensor system can forward predict EHS onset.
Methods: Heart rate and three-axis accelerometry data were collected from chest-worn sensors from 1806 US military personnel participating in timed 4/5-mile runs, and loaded marches of 7 and 12 miles; in total, 3422 high EHS-risk training datasets were available for analysis.
Estimating Sedentary Breathing Rate from Chest-Worn Accelerometry From Free-Living Data.
Annu Int Conf IEEE Eng Med Biol Soc
July 2020
Breathing rate was estimated from chest-worn accelerometry collected from 1,522 servicemembers during training by a wearable physiological monitor. A total of 29,189 hours of training and sleep data were analyzed. The primary purpose of the monitor was to assess thermal-work strain and avoid heat injuries.
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