Design of Radial Artery Simulation Platform Based on Waveform Drive / 中国医疗器械杂志

In order to obtain the three-dimensional pulse information and blood pressure waveform needed in the study, a radial artery simulation platform with programmable controlled injection pump as the core was constructed by using the circulation theory of human cardiovascular system and pulse wave formation mechanism. Gaussian function model was selected to synthesize multi-type pulse wave to program and drive the platform. The three-dimensional pulse information and blood pressure waveform of the simulated radial artery were collected by binocular visual pulse detection system and pressure transmitter respectively, and the platform stability and repeatability were tested by Pearson correlation. The experimental results show that the radial artery simulation platform is stable, reliable and repeatable, and can generate multiple types of three-dimensional pulse information and blood pressure waveform at the simulated radial artery. The platform is simple in structure, low in cost, and produces many types of pulsating flow. It provides an experimental research platform for revealing the relationship between the three-dimensional pulse information of radial artery and the change of pressure inside the vessel, as well as the prediction of blood pressure waveform from the three-dimensional pulse information.

A new approach for multi-channel surface EMG signal simulation

Simulation models are necessary for testing the performance of newly developed approaches before they can be applied to interpreting experimental data, especially when biomedical signals such as surface electromyogram (SEMG) signals are involved. A new and easily implementable surface EMG simulation model was developed in this study to simulate multi-channel SEMG signals. A single fiber action potential (SFAP) is represented by the sum of three Gaussian functions. SFAP waveforms can be modified by adjusting the amplitude and bandwidth of the Gaussian functions. SEMG signals were successfully simulated at different detected locations. Effects of the fiber depth, electrode position and conduction velocity of SFAP on motor unit action potential (MUAP) were illustrated. Results demonstrate that the easily implementable SEMG simulation approach developed in this study can be used to effectively simulate SEMG signals.