Embedded AI for Continuous Health Monitoring Patch

持续健康监测(CHM)可以提高健康评估的可靠性。然而，只有通过小而不显眼的设备，人们才能在日常生活中舒适地佩戴它们。XCO Tech Inc.的一款专有CHM贴片集成了光体积描记(PPG)和肌电(CG)传感器，用于测量关键的生物特征。这项研究旨在通过嵌入式人工智能(AI)解决方案减少信号噪声和运动伪影，使此补丁能够用于临床级、动态和不显眼的健康监测。其想法是融合来自多个传感器的测量，以提高精度和可靠性，同时使用惯性测量单元(IMU)传感器来报告物体的比力、角速度和方向。XCO Tech Inc.和不列颠哥伦比亚大学(Okanagan)的合作是开发人工智能算法来计算可操作的健康信息，如心率和心率变异性等。研究成果将被转移到XCO Tech Inc.，纳入他们的产品线，以满足加拿大迫切的数字医疗需求。

Continuous health monitoring (CHM) can improve the reliability of health evaluations. However, it is only possible through devices that are small and unobtrusive that a person can comfortably wear them during daily routine. A proprietary CHM patch from XCO Tech Inc., which integrates photoplethysmography (PPG) and electromyography (ECG) sensors, is used for the measurement of key biometrics. This research aims to enable this patch for clinical-grade, ambulatory, and unobtrusive health monitoring by reducing signal noises and motion artifacts with an embedded artificial intelligence (AI) solution. The idea is to fuse the measurement from multiple sensors for improved accuracy and reliability while an inertial measurement unit (IMU) sensor is employed to report a body's specific force, angular rate, and orientation. The collaboration between XCO Tech Inc. and the University of British Columbia (Okanagan) is to develop AI algorithms to calculate actionable health information, such as heart rate and heart rate variability etc. The research outcomes will be transferred to XCO Tech Inc. to be incorporated into their product line to serve Canadian's urgent digital healthcare needs.