Study of Remote early diagnosis system for malfunction of implantable artificial heart

我们研究了一种早期诊断系统，用于在危及患者生命之前检测植入式人工心脏的故障症状。早期诊断系统由电子听诊器和移动的计算机组成。人工心脏产生的声音信号是机械退化程度的指标，因为声音信号与人工心脏的每个机械部件的状况有关。声音数据，在已植入TAK的出院患者体表检测到。通过移动的电话（PHS）传输到医院的主机上。该早期诊断系统具有两种独特的滤波器：1）基于模拟组织的声音传输特性的低通滤波器的最佳频率特性;在山羊植入波动泵型人工心脏的体内实验中，该系统能够检测到泵故障的症状。本研究的结果表明，早期诊断系统有助于提高出院人工心脏患者的生活质量，确保他们的安全。

We have studied early diagnosis system for detecting symptom of malfunction of an implanted artificial heart before threatening patients' life. The early diagnosis system consists of a electro-stethoscope and a mobile computer. Sound signal generated by an artificial heart is an index of the degree of mechanical deterioration, because the sound signal is related to the condition of each mechanical components of the artificial heart. Sound data, which are detected on the surface of the body of a discharged patient in whom a TAK has been implanted. are transmitted to a host computer in a hospital via a mobile telephone (PHS).The early diagnosis system has two type of unique filters 1) an optimum frequency characteristics of low-pass filter based on simulating sound transmission characteristics of tissue, and 2) adaptive noise canceller, in order to eliminate ambient sound signal mixed in artificial heart's sound signal. The early diagnosis system was able to detect symptom of pump malfunction in in-vivo experiment using a goat implanted an undulation pump total artificial heart. The results of this study showed that the early diagnosis system contributes to improvement in the quality of life of discharged artificial heart patients by ensuring their safety.