Music performance anxiety (MPA) is one of the most reported psychological problems among musicians, posing a significant threat to the optimal performance, health, and psychological wellbeing of musicians. Most research on MPA treatment has focused on reducing symptoms of performance anxiety, but complete “cures” are uncommon. A promising addition or alternative that may help musicians enhance their performance under pressure, despite their anxiety, is pressure training (PT). In other high-pressure domains, such as sports and police work, pressure training has been proven effective in reducing choking and enhancing performance quality under pressure. Therefore, the aim of this narrative review is to explore the potential of pressure training in music settings. Specifically, we first provide a theoretical overview of current models explaining performance declines due to anxiety. Second, we discuss the current state of research on the effectiveness and application of pressure training in sports and police work as well as recent developments in pressure training interventions for music settings. While there is a limited number of studies investigating the effectiveness of pressure training on musicians' performance quality, research focusing on musicians' experiences has shown that pressure training can be particularly beneficial for enhancing performance skills, preparing for performances, and managing performance anxiety. Based on the reviewed literature, the final section points out suggestions for future research as well as recommendations for musicians, teachers, and music institutions for practical applications.
BackgroundOcclusions of intravenous (IV) tubing can prevent vital and time-critical medication or solutions from being delivered into the bloodstream of patients receiving IV therapy. At low flow rates (≤ 1 ml/h) the alarm delay (time to an alert to the user) can be up to 2 h using conventional pressure threshold algorithms. In order to reduce alarm delays we developed and evaluated the performance of two new real-time occlusion detection algorithms and one co-occlusion detector that determines the correlation in trends in pressure changes for multiple pumps.MethodsBench-tested experimental runs were recorded in triplicate at rates of 1, 2, 4, 8, 16, and 32 ml/h. Each run consisted of 10 min of non-occluded infusion followed by a period of occluded infusion of 10 min or until a conventional occlusion alarm at 400 mmHg occurred. The first algorithm based on binary logistic regression attempts to detect occlusions based on the pump’s administration rate Q(t) and pressure sensor readings P(t). The second algorithm continuously monitored whether the actual variation in the pressure exceeded a threshold of 2 standard deviations (SD) above the baseline pressure. When a pump detected an occlusion using the SD algorithm, a third algorithm correlated the pressures of multiple pumps to detect the presence of a shared occlusion. The algorithms were evaluated using 6 bench-tested baseline single-pump occlusion scenarios, 9 single-pump validation scenarios and 7 multi-pump co-occlusion scenarios (i.e. with flow rates of 1 + 1, 1 + 2, 1 + 4, 1 + 8, 1 + 16, and 1 + 32 ml/h respectively). Alarm delay was the primary performance measure.ResultsIn the baseline single-pump occlusion scenarios, the overall mean ± SD alarm delay of the regression and SD algorithms were 1.8 ± 0.8 min and 0.4 ± 0.2 min, respectively. Compared to the delay of the conventional alarm this corresponds to a mean time reduction of 76% (P = 0.003) and 95% (P = 0.001), respectively. In the validation scenarios the overall mean ± SD alarm delay of the regression and SD algorithms were respectively 1.8 ± 1.6 min and 0.3 ± 0.2 min, corresponding to a mean time reduction of 77% and 95%. In the multi-pump scenarios a correlation > 0.8 between multiple pump pressures after initial occlusion detection by the SD algorithm had a mean ± SD alarm delay of 0.4 ± 0.2 min. In 2 out of the 9 validation scenarios an occlusion was not detected by the regression algorithm before a conventional occlusion alarm occurred. Otherwise no occlusions were missed.ConclusionsIn single pumps, both the regression and SD algorithm considerably reduced alarm delay compared to conventional pressure limit-based detection. The SD algorithm appeared to be more robust than the regression algorithm. For multiple pumps the correlation algorithm reliably detected co-occlusions. The latter may be used to localize the segment of tubing in which the occlusion occurs.
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The Co-Design Pressure Cooker was set up to gather knowledge on co-design in product development activities of Small-to-Medium Enterprises(SMEs). This booklet gives an impression of ten projects conducted in the Province of Utrecht, the Netherlands. In these ten projects, a total of 22 companies were involved. 5000 booklets have already been printed in Dutch and handed out to SMEs for knowledge dissemination. We have received ample requests from the international community, which leads us to believe that there is an international audience for the cases conducted and knowledge gathered. This is why we decided to publish an English version of this booklet. The booklet will be followed by a scientific publication on the knowledge gathered for the academic community. Feel free to contact us for more information on this project
