Developing and validating a wearable device to assess cardiac function during sleep

本提案描述了基于心音分析的信号处理算法的开发和验证，以检测高血压、中风和心脏病等心血管疾病的风险和症状。在与BresoTec Inc.的密切合作下，这项工作将改善睡眠期间呼吸障碍及其心血管后果的管理。特别是，该项目将开发强大的算法来检测心率、血压和心脏功能。所提出的算法可用于远程监测心脏功能，并在患者在家时诊断心血管疾病的风险，例如在睡眠或日常活动期间。

This proposal describes the development and validation of signal processing algorithms based on heart sound analysis to detect the risk and symptoms of cardiovascular disorders such as hypertension, stroke, and heart disease. In a close collaboration with BresoTec Inc, this work will improve management of breathing disorders during sleep and their cardiovascular consequences. In particular, this project will develop robust algorithms to detect heart rate, blood pressure, and cardiac function. The proposed algorithms can be used for tele-monitoring of cardiac function and diagnosing the risk of cardiovascular disorders when the patients are at home, such as during sleep, or during everyday activities.