Electrooculogram (EOG) data was used to develop, adjust and validate a method for Drowsiness detection in drivers. The Drowsiness detection was based on changes in blink behaviour and classification was made on a four graded scale. The purpose was to detect early signs of Drowsiness in order to warn a driver. MATLAB was used for implementation. For adjustment and validatation, two different reference measures were used; driver reported ratings of Drowsiness and an electroencephalogram (EEG) based scoring scale.

Ambulatory surgery is common and develops alongside surgery and anesthetic methods. Time admitted is short and aftercare takes place in the home environment.Objective: The aim of the study was to investigate which symptoms patients experience after ambulatory surgery related to anesthesia. Furthermore how strongly symptoms affect the patient. Symptoms appear as a result of anesthesia and surgery and can therefore be interpreted as nursing induced suffering.Method: Participants were recruited at ambulatory clinics at a Swedish university hospital spring, 2015.  Prior to the study permission was granted from the clinic managers. The study is a quantitative descriptive longitudinal study.  Data collection forms were administered and data collection was performed by phone.

The purpose of this study was to investigate different relations between the damages of falls and background variables as well as the relation between the falls and the weather condition to later be able to use this report to expand the knowledge among workers at VTI about the pedestrian fall injuries. All of the fall injuries in the data that this study is based on have occurred in Sweden during the time period between January 2003 and December 2011.To be able to answer the questions that this report is based on several statistical methods are used. The statistical methods that have been used during the making of this report are multiple linear regression, binary logistic regression, correlation analysis, association analysis and descriptive statistics as well as visual analysis.The results of the study show that women around menopause age have a tendency to get a big increase in the amount of injuries compared to men of the same age. The study also suggests that men on average tend to have a lower level of injury compared to women.Age also seems to affect both the amount of injuries and the level of injury negatively. The study suggests that the most likely reason for this is both that the intake of ?Fall Risk Increasing Medicine?, which is medicine that increases the Drowsiness, is higher among older individuals as well as lower estrogen levels among older women and lower amount of testosterone among older men, which causes a loss of bone density in both sexes.The weather seems to have a strong effect on how many injuries occur but also a noticeable effect on the scale of the injury.