RESUMO
BACKGROUND: Fetal heart rate (FHR) extracted from abdominal electrocardiogram (ECG) is a powerful non-invasive method in appropriately assessing the fetus well-being during pregnancy. Despite significant advances in the field of electrocardiography, the analysis of fetal ECG (FECG) signal is considered a challenging issue which is mainly due to low signal to noise ratio (SNR) of FECG. OBJECTIVE: In this study, we present an approach for accurately locating the fetal QRS complexes in non-invasive FECG. MATERIALS AND METHODS: In this experimental study, the proposed method included 4 steps. In step 1, comb notching filter was employed to pre-process the abdominal ECG (AECG). Furthermore, low frequency noises were omitted using wavelet decomposition. In next step, principal component analysis (PCA) and signal quality assessment (SQA) were used to obtain an optimal AECG reference channel for maternal R-peaks detection. In step 3, maternal ECG (MECG) was removed from mixture signal and FECG was extracted. In final step, the extracted FECG was first decomposed by discrete wavelet transforms at level 10. Then, by employing details of levels 2, 3, 4, the new FECG signal was reconstructed in which various noises and artifacts were removed and FECG components whose frequency were close to the fetal QRS complexes remained which increased the performance of the method. RESULTS: For evaluation, 15 recordings of PhysioNet Noninvasive FECG database were used and the average F1 measure of 98.77% was obtained. CONCLUSION: The results indicate that use of both an efficient analysis of major component of AECG along with a signal quality assessment technique has a promising performance in FECG analysis.
RESUMO
BACKGROUND: Hospital managers should have enough managerial competencies to coordinate the complex environment. The underlying assumption is that there is a potential gap in management capacity between public and private hospitals in Iran. This study aims to evaluate competency level of hospital managers and to compare their competencies in public and private hospitals. MATERIALS AND METHODS: This study was descriptive-analytic, carried out in 2015. A survey using a self-administered questionnaire was conducted among 127 public and private hospitals managers in Tehran Province, Iran. Respondents were asked to rate their competencies in a five-key subscale that included people-related skills, health delivery, self-management, task-related skills, and strategic planning and management. Ratings were based on a five-point Likert scale ranging from very low to excellent competency level. RESULTS: Self-assessment of competencies level showed that managers in all state hospitals evaluate their competency at a low level. Managers felt most competent in health-delivery skills (3.71), people-related skills (3.61), and strategic planning and management (3.57), relatively less competent in self-management (3.54) and task-related skills (3.49). While being the mean total competency levels were significantly higher among male managers, those who participated in the healthcare/hospital management training courses, and those whose primary formal qualification was management in healthcare/hospital management (P<0.05). Similarly, managers who had more experience in their current position were more likely to report higher competencies level (P<0.05). Managers in private hospitals perceived themselves to be significantly more competent than their public hospitals colleagues in most of the management facets (P<0.001). CONCLUSION AND RECOMMENDATIONS: There is a perceived lack of management capacity by managers of both public and private hospitals and the gap between public and private hospitals is small. There is widespread need for management training to be made available in Iran.
