Study of electromyographic signal in stroke patients

With the rapid development of mathematical tools related to research on human behavior, more and more new discoveries are appeared in domestic and foreign. Surface EMG is a complex biological electrical signals and carrying a large body of information. In this paper, we found that the electromyographic signal is controlled by the brain signals and superposition of limb muscle action potential signal. The focus of this paper is to use mathematical analysis tools and MATLAB software to analyze the performance characteristics of EMG. Through the analysis of the electromyographic signal, we can quickly identify a breakdown of the patients with cerebral apoplexy, and it is cerebral infarction or cerebral hemorrhage, greatly improve the cure rate and reduce mortality. We have gathered upper limb muscle electrical signals of healthy people, patients with cerebral infarction and cerebral hemorrhage patients. By using Fourier transform and AR model to analyze electromyographic signal, we can easily find the difference between the patients with cerebral infarction and cerebral hemorrhage patients.