Development of a portable arrhythmia detecting device

健康人在运动或精神紧张时，往往会出现心律失常。在像现在这样的老年人社会中，有必要避免由心律失常引起的生命危险。本研究的目的是在实验的基础上开发和制作心率变异性(HRV)测量装置来检测心律失常。ARV是从自回归模型中衍生出来的一种新的心率变异性参数，它是检测和表征心律失常的一个非常好的参数。对ARV进行彻底检查。另一方面，将心跳时间序列分解为频率分量。通过模拟生成了与分解后的分量具有相同统计特性的时间序列。根据生成的时间序列计算ARV，并对ARV进行检验。结果，通过从通过分解成频率分量获得的时间序列计算ARV或R-R间期的变异系数(Cvr-r)，可以…更详细的信息获得了更多，这是无法从整个时间序列中获得的。我们在电子、信息和通信工程研究所会刊上报道了这些结果，在本研究中，我们尝试将上述方法添加到心律失常检测装置中。主机上的计算系统在个人计算机上进行了更改。首先用BASIC语言描述计算系统，称为系统I，然后构造了用机器语言描述的系统II，并与主框架上的系统进行了比较，证实了系统II的有效性。作为系统III，我们在实验的基础上制作了一台使用Z-80微处理器的便携式设备。使用系统III对健康受试者和心律失常受试者进行测试，以检验这些系统的有效性。结果表明，使用这些系统得到了几乎令人满意的结果。但这些系统都是从心电图机输入数据。要制作一个完整的便携式设备，就必须使用便携式设备本身来检测心电。针对这个问题，我们研究了各种方法，但都不能制造出满意的检测传感器。这种心电检测传感器的研制还有待进一步证明。较少

The arrhythmia often appears on healthy peaple when they take exercise or they are mental strained. In the society the aged at a time like the present, it is necessary to stave off a danger of life causing by arrhythmia. The aim of this research is developing and making on an experimental basis heart rate variability (HRV) measuring device to detect arrhythmia.A new HRV, ARV, which is derived from the autoregressive model, is a very excellent parameter to detect and characterize the arrhythmia. ARV was examined thoroughly. The other hand, the time series of heart-beat was decomposed into frequency components. A time-series was generated by simulation with the same statistical property as the decomposed component. ARV was calculated from the generated time series, and the ARV was examined, too. As a result, by calculating ARV or the coefficient of variation of R-R interval (CVr-r) from the time-series obtained by the decomposition into frequency components, more detailed information can … More obtained, which could not be acquired from the whole time-series. We reported these results in the transaction of the institute of electronics, information and communication engineers.In this research, we tried to add the above method to the arrhythmia detecting device. Computing system on the main frame changed on the personal computer. First, the computing system was described by BASIC language, called system I. Then system II, which was described by machine language was constructed, and comparing to the system on the main frame, the effectuality of the system II was confirmed. As the system III, we made on an experimental basis a portable device using Z-80 micro processor. Using the system III for the healthy subjects and the subjects having arrhythmia, the effectuality of these system was examined. As the result, almost satisfactory results were derived using these systems. But these all systems input data from the electrocardiograph. To make a complete portable device, it is necessary to detect electrocardiogram using the portable device itself. About this problem, we examined various method, but could not make satisfactory detecting sensor. It remains to be proved that developing this electrocardiogram detection sensor. Less