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High-quality long-term health care monitoring has gradually become the focus of attention around the world. In order to prevent the risk of sudden heart disease, this paper combines the heart rate of the most common health indicators in clinical practice, and adopts a random forest-based heart rate prediction model to design a small human heart rate monitoring system for mobile intelligent terminals. The system features wearable, interactive, real-time heart rate acquisition, abnormal heart rate detection, and heart rate anomaly alerts. The experimental results show that the heart rate monitoring system can realize real-time monitoring of heart rate and prediction of heart rate in future time. The correct rate of heart rate prediction can reach 86.67%, and the prediction accuracy can meet the needs of users.