A0322
Title: Statistical estimation of heart movements by microwave Doppler radar sensor
Authors: Kosuke Okusa - Chuo University (Japan)
Takashi Ota - Chuo University (Japan) [presenting]
Abstract: The heart is a fundamental organ that sustains our life, and the development of a cardiac function monitoring method for daily use would offer significant benefits toward improving quality of life (QOL). Challenges in the use of home electrocardiographs include the wearing conditions of sensors, noise caused by body motion, and mental stress resulting from wearing sensors. We describe a new statistical method for estimating heart movements over time using a template method which is based on non-contact measurements with a microwave Doppler sensor and also employs mathematical modeling of heart movements, and simulation of Doppler reflected waveforms. Studies conducted using conventional Doppler sensors involve obtaining the subject's heartbeat reflected wave in advance, creating templates using statistical models and machine learning, and then measuring and analyzing the reflected wave again. This approach requires time-consuming diagnosis and is not suited for rapid analyses, such as streaming analysis. The results of monitoring the heart movements of multiple subjects using the new template method we proposed showed strong similarity with the observed reflected waves, suggesting the feasibility of our rapid and highly flexible heart movement estimation system.
