Wearable Health Monitoring System Based on One-Dimensional Block Matching Algorithm

Health monitoring systems generally analyze a series of physiological conditions of the target. These physiological conditions can fully reflect the health status of the target, which is very suitable for monitoring the patient's physical condition. In order to accurately obtain physiological information, the users can try to use wearable devices for assistance. At the same time, this article also proposes to use a one-dimensional block matching algorithm to assist wearable devices in transmitting imaged physiological information to the remote monitoring system. In the comparison between the wearable health monitoring system based on the method in this article and the conventional wearable health monitoring system, the average recognition accuracy of the former is 90.03%, and the average recognition accuracy of the latter is 84.82%. Therefore, this study finds that the one-dimensional block matching algorithm is very suitable for designing wearable health monitoring systems.