Presentation
Soldier Readiness: Multiscale Entropy Analysis on Physiological Signals
Event Type
Poster
In-Person
TimeWednesday, October 6th5:00pm - 6:00pm EDT
LocationHarborside CDE
DescriptionThis study demonstrates how Multiscale Entropy (MSE) analysis on physiological signals can detect patterns of abnormality within physiological states. The use of wearable technology on soldiers during the conduct of military operations can collect data on physiological signals that highlight indications of health degradation. MSE analysis is performed on Electrocardiogram (ECG) data, RR intervals, and respiratory levels. In this context, MSE analysis is a method that analyzes the complexity for a physiological measure. To detect patterns within MSE analysis, the study utilizes data extracted from Physio.net. After studying and analyzing data from unhealthy and healthy populations, the results indicate there is a significant difference of entropy between the readings. While the healthy data displays a positive entropy curve, the unhealthy data populates a decreasing curve indicating an irregular pattern of breathing. MSE analysis on respiratory and ECG data provides insights into the overall health of a soldier during military operations.