T-wave alternans (TWA) refers to a phenomenon appearing in the surface electrocardiograph (ECG) as a consistent fluctuation in morphology and amplitude of the T wave on an "every-other-beat" basis. Correlation method (CM) has a certain ability to detect the non-stationary TWA, but it is very sensitive to noise. In this paper we propose a modified correlation method to ensure a stable and accurate detection of non-stationary TWA. Compared to the CM, the method modifies the judge condition and uses the linear fitting to limit the noise to gain the ability of detecting of non-stationary TWA. Our simulation and clinical data assessment study demonstrates the improved performance of the proposed algorithm.
Algorithms ; Artifacts ; Computer Simulation ; Electrocardiography ; methods ; Humans ; Signal Processing, Computer-Assisted ; Wavelet Analysis

To explore the mediating role of psychological resilience to childhood abuse and binge eating. This study assessed the childhood abuse, binge eating and psychological resilience of 3 453 middle school students in Harbin city, Heilongjiang Province. SPSS PROCESS macro program, combined with Bootstrap method, was employed to explore the mediating effect of psychological resilience. The incidence of middle school students experiencing at least one type of abuse in their childhood was 81.3% (2 807/3 453). Childhood abuse, psychological resilience and binge eating were all significantly different in terms of gender, household registration and whether they were only child (all P values<0.05). There was a significant positive correlation between childhood abuse and binge eating. Psychological resilience was negatively associated with childhood abuse and binge eating. Childhood abuse could not only directly predict the binge eating behavior of adolescents, but also could indirectly affect it via psychological resilience.