Abstract: By using technologies of photoelectric detection, signal processing and machine learning, the experiment system of pulse signal detection, analysis, and recognition is designed to meet the need for more professional experiment systems in biomedical engineering major teaching. The experimental system collects pulse signals from the signal acquisition terminal and transmits them to a computer for processing and analyzing. After extracting features, the neural network is used to identify the pulse signals. The system has GUI interactive interface and is easy and convenient to use. The experiment system combines the engineering and medical applications, helps students to consolidate knowledge and skills, encourages students to explore advanced processing and recognition studies, and strengthens students' self-study ability.