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We investigated the value of the ankle-brachial systolic pressure index (ABPI) as a test for the diagnosis of peripheral arterial occlusive disease (PAOD) in general practice. ABPI measurements on 231 legs of 117 subjects performed in three general practice centers (GPC) were compared with the diagnostic conclusions of a Vascular Laboratory. The optimum(More)
BACKGROUND The prevalence of peripheral arterial occlusive disease (PAOD), including asymptomatic cases and cases unknown to the general practitioner (GP) was estimated in 18,884 men and women, aged 45-74 years, on the list of 18 general practice centres (GPC). METHODS The study population (n = 3171) consisted of a stratified sample of the total(More)
OBJECTIVES To describe the risk-factor profile and cardiovascular comorbidity of asymptomatic peripheral arterial occlusive disease (PAOD). DESIGN A cross-sectional survey. Asymptomatic PAOD was defined as an ankle-brachial pressure index < 0.95, measured on two consecutive occasions, without intermittent claudication. Logistic regression analyses were(More)
OBJECTIVES to estimate the intra-observer variability of the measurement of the ankle-brachial systolic pressure index (ABPI) and to compare the reproducibility of the measurements by experienced vascular laboratory assistants and by less-experienced general practice personnel. DESIGN repeated measurement of ABPI by general practitioners (GPs),(More)
—Pixel-wise street segmentation of photographs taken from a drivers perspective is important for self-driving cars and can also support other object recognition tasks. A framework called SST was developed to examine the accuracy and execution time of different neural networks. The best neural network achieved an F1-score of 89.5 % with a simple feedforward(More)
One of the biggest challenges towards fully automated driving is achieving robustness. Autonomous vehicles will have to fully recognize their environment even in harsh weather conditions. Additionally, they have to be able to detect sensor and algorithm failures and react properly to keep the vehicle in a safe state.
We present a new fully automated algorithm for frequency band selection in band power based brain-computer interfaces (BCIs). The algorithm performs a single pass and only requires information on the training data in the form of time-frequency ERDS maps, which visualize event-related desynchronization (ERD) and event-related synchronization (ERS). Frequency(More)
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