Development of In-home Medical Checkup and Health Monitoring System Using Cardiac and Respiratory Information

本研究的目的是开发一种基于获取的心脏和呼吸信息的数字电子听诊器系统和用于体检和健康监测的带式传感器系统。为了开发数字电子听诊器系统，在传统声学听诊器的管内安装了一个电容式麦克风。心音和呼吸音信号首先经过模拟滤波器滤波，并记录到具有自动调谐功能的存储器中。数字电子听诊器获取的数据通过无线发射机传输至计算机或智能存储器。在此基础上，开发了一个具有神经网络功能的软件来分析心音和听诊音。实际上，对于非专业人员来说，很难区分正常的心音和异常的心音、心脏杂音等。提出了一种考虑鼓膜跳动的方法，将心音直观地显示为特征波形。结果表明，利用教材CD中的疾病数据和本研究开发的听诊器系统测量心音的准确性是肯定的。对于用于测量心电、心率和呼吸的带式传感器，该传感器是为了监测重要的心肺信息而开发的，该传感器使用方便，便于家庭使用。该传感器能够在无人注意或有意识的情况下自动进行长期测量。该传感器可在家中通过LonWorks(分布式控制网络系统)系统连接到生命体征监测网络，并在家中通过手机传输生命信号。相关技术已作为专利申请或准备申请。这项研究将继续朝着使该系统进入市场的方向发展

The purpose of this research is to develop a digital electronic stethoscope system and a belt-type sensor system for medical checkup and health monitoring based the obtained cardiac and respiratory informationAs for development of the digital electronic stethoscope system, a condenser type microphone is installed inside the tube of traditional acoustic type stethoscope. The signal of cardiac sound and breathing sound are first filtered by the analog filters, and recorded to memory with automatic tuning function. The data obtained by the digital electronic stethoscope is transferred to a computer or a smart memory through a wireless transmitter. Further, a software with neural networks functions is developed to analyze the cardiac and auscultation sound. Actually, for nonprofessional persons it is difficult to discriminate the normal cardiac sound from abnormal cardiac sound, heart murmur, etc. The method to display the cardiac sound visually to a characteristic waveforms by considering the beat of the tympanic membrane is proposed. The accuracy of cardiac sounds measured by the disease data of textbook CD and the stethoscope system developed in this research was approvedAs for belt type sensor for measuring the electrocardiogram, heart beats, and respiratory, the sensor, which is easy-to-use and comfortable for home applications, is developed to monitor the vital cardiopulmonary information. The sensor is capable of long-time measurements automatically without attention or conscious. The sensor can be connected to the vital sign monitoring network through the LonWorks (Distributed Control Network System) system in home and transfer the vital signals by a mobile phone out of homeIn this research, the belt-type sensor and the digital stethoscope diagnosis and analysis system are developed. The pertinent technologies are applied or preparing as the patents. This research will be continuing toward to make the system into the market