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Objections To develop a low-cost, precise and reliable real-time ECG monitoring and analysis system for the real-time ECG signals acquisition to realize the prediction and diagnosis of heart diseases. Methods This system is designed using a signal disposal module AD8232, an Arduino UNO board based on ATmega328p microcontroller and the PC software LabVIEW. The windowed FIR filter and wavelet denoise module are designed for the preprocess of the extracted signals. Since time and frequency characteristics of the ECG signal can provide information on the dynamic behavior of the patient's heart activity, a variety of programs used for ECG signal analysis are designed, such as the Spectrum Analysis and Heart Rate Variability (HRV) analysis. Results The developed system is able to conduct real-time analysis on the measured ECG signals. The physiological characteristics contained in the ECG signals of patients can be measured accurately and the interference signals can be filtered very well. This system can also perform various kinds of analysis and the analysis results are reliable enough to be used in the clinical diagnosis. Conclusion Being able to measure and analyze signals accurately and filter the noise well, this ECG real-time measuring and analysis system is of great values for the future development of ECG monitors.