Real-Time QRS Detection Of Ecg Research And Design

Recent years, the prevention of heart disease has played an important role in healthcare. Heart disease is difficult to predict, and have high dead rate. In many cases, there is required that hospital could be monitoring patient cardiac condition in a long time and real-time. ECG monitoring system using the environment of pervasive computing, could not affect patients'normal life. The QRS detection is the base of ECG signal analysis. Therefore, there is important research significance that the real-time QRS detection in pervasive computing environment.This paper research and design a real-time ECG QRS detection technology. It has small computational complexity because of detecting in electrocardiogram time domain signal. In the detection initial stage, data preparation and signal pretreatment provides unified format data and higher SNR signal for the entire detection process. This paper designs an adaptive threshold method, in the time domain signal of ECG, to identificating and capturing QRS. It uses geometric analysis method to extract the features of QRS. Such as RR interval, peak slopes, the length of QRS and so on. To improve inspection accuracy, this paper has designed a 2-level QRS correction. Using the features of QRS, it establishs feature template. With comparing feature template, it can filter mistakenly detections of QRS and also can retrieve leakage detections of QRS.This paper studied QRS detection technology, and use MIT-BIH arrhythmia database to conduct accuracy assessment. This paper also analyzes the computational complexity of the QRS detection. Through performance evaluation, it prove that the detection technology of this paper with simple efficient characteristics. Thereby, it reached the target of ECG QRS real-time detection.