The blood flow in human arterial system can be considered as a fluid dynamics problem. Simulation of blood flow will provide a better understanding of the physiology of human body. Simulation studies of blood flow in the diseased condition can help to diagnose the health problem easily and also have many applications in the areas such as surgical planning and design of medical devices. This paper presents a synthetic electrocardiogram (ECG), blood pressure signals (BP) and ballistocardiographic signal (BCG). Dynamical models of electrocardiogram and cardiovascular system are important in medicine because they can be used as approximation of the real patient. An example is the Windkessel model, which is often used for simulation. ECG, BP and BCG signals can be generated with different sampling frequencies, with different noise levels, with different shapes, filters etc. The paper is based on real data (Real data and identification methods can be used to create models), which are then used for models based on coupled oscillators. Models of the above-mentioned signals are generated by a microcontroller, which allows easy control and adjustment of the output signal and other experiments. The presented paper describes a device that was developed and used for educational purposes, especially for biomedical engineering.

人体动脉系统中的血流可以被认为是一个流体动力学问题。模拟血流将有助于更好地了解人体的生理机能。疾病状态下的血流模拟研究有助于轻松诊断健康问题，并且在手术计划和医疗设备设计等领域也有许多应用。本文介绍了合成心电图 (ECG)、血压信号 (BP) 和心冲击图信号 (BCG)。心电图和心血管系统的动力学模型在医学中很重要，因为它们可以用作真实患者的近似值。一个例子是 Windkessel 模型，它经常用于模拟。ECG、BP 和 BCG 信号可以以不同的采样频率、不同的噪声水平产生，具有不同形状，滤波器等的模型。本文基于真实数据（可以使用真实数据和识别方法来创建模型），然后将其用于基于耦合振荡器的模型。上述信号的模型是由微控制器生成的，从而可以轻松控制和调整输出信号以及进行其他实验。所提交的论文描述了一种为教育目的而开发和使用的设备，特别是用于生物医学工程。