Objective: To evaluate the nurse's practices and it's relationship between with thier demographic characteristic.
Methodology: A descriptive study was carried out , from January 15th 2002 to April 15th 2002 , to evaluate the
nurse’s practices toward patients who undergo cardiac catheterization . A purposive sample of ( 65 ) nurse , was
selected out of three teaching hospitals in Baghdad city . These nurses were worked at the catheterization units
and catheterization labs .A questionnaire was constructed for the purpose of the study , which comprised of three
major parts in which there were ( 45 ) items . Reliability and validity of the questionnaire were determined
through the conduct of a pilot study .
Data were collected through the use of the constructed questionnaire as an observational tool and the observation
technique as means of data collection .
Data were analyzed through the use of two statistical analysis approaches :
1 - Descriptive statistical analysis that included frequencies and percentages .
2 - Inferential statistical analysis that include mean of scores , Alpha correlation coefficient and Chi
square .
Result: Findings of the study indicated that there were no significant associations between the nurse’s practices
toward patients who undergo cardiac catheterization and their educational level and the nurse’s sex. The
present study concluded that all staff nurse had performed almost an equal level of practices regardless to their
sex and education and newly employed nurses had presented better practices that other .
Recommendation: The study recommended that a well – formulated bill of standards should be created and
presented to all sites in which such practices are performed . Special training programs should be designed and
constructed for nurses in this area to reinforce their skills and promote their experience
Stroke is the second largest cause of death worldwide and one of the most common causes of disability. However, several approaches have been proposed to deal with stroke patient rehabilitation like robotic devices and virtual reality systems, researchers have found that the brain-computer interfaces (BCI) approaches can provide better results. In this study, the electroencephalography (EEG) dataset from post-stroke patients were investigated to identify the effects of the motor imagery (MI)-based BCI therapy by investigating sensorimotor areas using frequency and time-domain features and to select particular methods that help in enhancing the MI-based BCI systems for stroke patients using EEG signal processing. Therefore, to detect
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This paper discusses patient refusal duri
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