Background The perimenopausal period is associated with a higher risk of various mood disorders. Similarly, although resting-state electroencephalogram (rsEEG) brain oscillatory activity has been associated with various neuropsychological disorders and behaviours, these issues have not been assessed in perimenopausal women. This study aimed to evaluate quantitative relationships between psychometric properties and rsEEG rhythms (delta, theta, alpha, beta and gamma powers) in perimenopausal women. Methods A cross-sectional correlational descriptive study was conducted to quantitatively analyze the correlations between rsEEG low-to-high band activities (delta, theta, alpha, beta, and gamma powers) and psychometric properties in 14 perimenopausal women. Participants completed a psychological inventory comprising the State Anxiety Inventory (SAI), Depression Inventory (DI), Behavioural Inhibition Scale (BIS) and short-form UPPS Impulsive Behaviour Scale (IS) before EEG recording. Results Results showed that impulsivity was positively related to the beta power, symmetrical at most channels (frontal, temporal, central, parietal and occipital regions; p < .05); but did not related to the delta, theta, alpha and gamma powers. The brainwave low-to-high bands, delta, theta, alpha, beta and gamma power were not associated with DI, SAI or BIS scores. Conclusions This study’s findings propose that significantly enhanced resting-state beta activity is a trait of impulsivity in perimenopausal women. Therefore, results have potential implications for the preclinical or clinical evaluation of these issues in perimenopausal women.

Automatic bubble defect inspection for microwave communication substrates using multi-threshold technique based co-occurrence matrixThe microwave communication substrate is currently using manual inspection from ultrasonic image. The bubble defect ratio is an important index for evaluating the quality of the substrate. It is difficult to formalise standards for the quality inspection procedure by an operator since different numbers of bubbles may be realised. This paper proposes a novel inspection procedure for the calculation of the bubble ratio of microwave communication substrate. First, the optimal threshold is determined for binary image segmentation on the basis of a co-occurrence matrix. Further, the image of the microwave communication substrate is divided into three parts, namely, the image skeleton area, soldering area, and IC working area. The image subtraction technique is used to obtain the global and critical regions for bubbles. After data analysis, if the critical region bubble ratio is larger than 10% of the critical region, then it is judged to be a defect. When a substrate is judged to be non-defective, we should further proceed with the global area detection. If the global region bubble ratio is larger than 12.3% of the global region, then it is judged as a defect. An experiment was conducted to demonstrate the application of this technique. The results showed that the inspection accuracy reached 97.49%. The results of this study provide an effective solution for the inspection of the interface bond quality of a microwave communication substrate.

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