Objective To evaluate the clinical diagnostic value of a new nonlinear detection of index for coronary heart disease.Methods The inpatients suspected with coronary heart disease were randomly selected from March 2008 to February 2009 in the departments of The First Affiliated Hospital of Harbin Medical University,after routine examination.The time was fixed in the night before coronary angiography for data acquisition.Those whose number of cardiac RR interval (utilization) was less than 90% were removed and eventually a total of 124 cases were selected.Basing on gold standard (coronary angiography),the patients were divided into a group of 53 cases of coronary heart disease,middle group of 38 cases and the control group of 33 cases.In a stable state,the supine subjects were under the 12-lead ECG monitoring for 30 minutes to obtain RR interval data,and after careful examination data were blindly transferred to professionals who filtered the data,analyzed them with formula of 50-step chaometry(50SCM)and output.Finally,the date were analyzed with statistical methods.Results Between the three groups there was significant difference in 50SCM(P

Instantaneous chaometry was defined on uniformity theory constructed by the present authors. The sample data, sinus heart rate data and arrhythmia heart rate data from MIT-BIH were analyzed with instantaneous chaometry (ICM); the situation not being distinguished with HRV can be differentiated with ICM. The normal sinus rhythm was found to be of three evident characteristics: (1) instant returning to zero, (2) stability-stable characteristic of ICM on the initial position, (3) interval of mean: 2-7, variance: 1.5-5. The third characteristic shows that the variability of ICM is necessary. The studies on arrhythmia database showed that arrhythmia cases exhibited no returning to zero, nonstability of ICM on the initial position, too small mean or standard deviation, respectively. Evidently, the arithmetic of ICM is simple; ICM can be easily applied in clinical and pathologic analyses.
Arrhythmias, Cardiac ; physiopathology ; Electrocardiography ; methods ; Heart Rate ; physiology ; Humans ; Male ; Middle Aged ; Signal Processing, Computer-Assisted ; Sinoatrial Node ; physiology