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心率变异作为检测自主神经系统功能平衡状态的无创性指标，日益受到重视，已成为心电信号处理中的研究热点之一。ＱＴ是心室肌复极化时间，从另一方面来反映自主神经系统的平衡状态。ＱＴ变异分析在临床应用上与心率变异分析是否有互补作用，目前这方面研究工作开展得不多。由于ＱＴ间期检测困难，一般以ＲＴ间期代替ＱＴ间期。建立了心率变异和ＱＴ变异测定方法。在采集２４ｈ心电信号后，首先要完成标志点的检测。较好地实现了心电Ｒ波标志点的检测和异位心跳的剔除，并采用以相关系数为条件的模板匹配方法检测出Ｔ波标志点。频域分析方法分别通过快速傅里叶变换法（ＦＦＴ）和自回归谱估计法（ＡＲ）实现了２４ｈ三维频谱显示图以及２４ｈＨＦ／ＬＦ和高频能量变化趋势图。以不同的频率控制受试者的呼吸，采集其心电数据，从ＲＲ间期和ＲＴ间期谱分析的结果可以看到，高频峰受到呼吸频率的调制，高频峰可能与迷走神经活动有关。这一过程也检验了心电信号采集、检测和谱分析方法的可靠性。建立的方法为今后进一步深入研究打下了基础。随着心率变异和ＱＴ变异的检测和分析技术的日趋成熟，一定会在一些疾病的早期诊断、监护及预后评估等方面发挥更大的作用
As a noninvasive index for detecting the functional balance of autonomic nervous system, heart rate variability has received more and more attention and has become one of the hot spots in the research of ECG signal processing. QT is the ventricular repolarization time, on the other hand reflects the autonomic nervous system balance. QT mutation analysis in clinical application and the analysis of heart rate variability whether there is a complementary effect, the current research work carried out in this area is limited. Due to the QT interval detection difficulties, RT interval in general instead of QT interval. The method of determining heart rate variability and QT mutation was established. 24 hours after the acquisition of ECG signals, the first to complete the mark of the test. The detection of ECG R wave mark points and ectopic heart beat were achieved well, and the T wave mark points were detected by template matching method under the condition of correlation coefficient. The frequency domain analysis method realizes the three-dimensional (24-h) spectrum display and the trend curves of 24hHF / LF and high-frequency energy by fast Fourier transform (FFT) and autoregressive spectrum estimation (AR) respectively. Controlling the respiration of the subjects at different frequencies and collecting their ECG data, we can see from the results of RR interval and RT interval spectrum that the high frequency peak is modulated by the respiration frequency, and the high frequency peak may be related to vagal activity. This process also tests the reliability of ECG acquisition, detection, and spectral analysis methods. The method established laid the foundation for further research in the future. With the detection and analysis of heart rate variability and QT mutation technology maturing, it will certainly play a greater role in the early diagnosis, monitoring and prognostic assessment of some diseases