心肺运动信号力学机理与检测心肺功能的可能性研究

Cardiopulmonary Motion Signal (CMS) is the force vibration cause by respiration and the heartbeat, which includes ballistocardiogram (BCG) and the respiratory signal. CMS has the advantages of direct reflection of the mechanical function of the heart and lung, high sensitivity and easy realization with unobtrusive measurement. After 6 years study, we have successfully developed a multi-sensor CMS signal acquisition and analysis device, and performed a preliminary study on respiratory gating, healthy subjects and patients with coronary heart disease or heart failure. We also conducted the study of BCG signal mechanism using a coupled model. 2 related patents had been applied, and clinical standard had been achieved which can be competitive with group from Stanford University. Aimed at developing innovative technique of cardiopulmonary function examination, we divide this project into 3 parts. First, to explore the signal mechanism and promote clinical research in the future, we intend to conduct a comprehensive research on the mechanism to solve the key issues in the physiological and medical areas, which will be based on the basis of the preliminary work. Our work will accelerate the research of CMS mechanism, and provide theoretical basis for future application. Second, develop CMS measurement system with high sensitivity, which will achieve clinic standard and be applied in hospital. This work includes hardware and software design and knowledge of biomedical signal processing, which can provide a high quality device for clinical research and family monitoring. Third, focusing on heart failure patient and respiratory gating technique, we will explore possible application of CMS. This part will accelerate the application of CMS in clinic diagnosis and family monitoring. Consequently, this project contains theory of mechanics, engineering technology and clinical research, and has the potential to surpass the work of Stanford University and make breakthrough by using CMS to assess the cardiopulmonary function.

心肺运动信号技术是利用传感器检测心脏与呼吸运动引起的微弱力学变化信号，具有检测直接、灵敏度高、检测无接触等优势。经过6年研究，我们建立耦合计算模型对信号机理进行了仿真研究，成功研发多功能心肺运动信号采集分析实验装置，并率先进行了正常人、冠心病、心衰患者和呼吸门控信号采集分析研究，国家专利局已授权我们该技术发明专利，形成了我们与斯坦福大学团队从技术到临床全面竞争的局面。为创新发展我国自主知识产权的心肺力学检测新技术，本项目拟应用流体力学理论进行计算模拟分析，明确心肺运动信号形成机制，为心肺功能的检测应用提供理论指导；研发可进入临床研究的高精度心肺运动信号采集设备，为应用研究提供高质量设备；以心衰监测和呼吸门控为重点进行临床研究，探索在临床诊断与家庭健康监测方面应用的可能性。本项目将融合力学理论、工程技术、临床研究为一体，有望超越斯坦福大学，实现我国心肺运动信号评价心肺功能物理新技术的突破。

心肺运动信号技术是利用传感器检测心脏与呼吸运动引起的微弱力学变化信号，具有检测直接、灵敏度高、检测无接触等优势。本项目建立主动脉弓力学和血流分析模型，建立心脏射血和心肺运动信号的联系，明确心肺运动信号形成机制，为心肺功能的检测应用提供理论指导；研发压力型号多参数心肺运动信号测量设备和加速度型多参数心肺运动信号测量设备，为应用研究提供高质量设备；进行心肺运动信号与超声心动图联合实验、心肺运动信号与动态血压检测联合实验、心肺运动信号与心血管疾病（心衰、高血压等）相关性研究，探索在临床诊断与家庭健康监测方面应用的可能性；进行4DCT实验，探索心肺运动信号在肿瘤放疗呼吸门控中的应用。