What would be a good way to shorten following text: 
Good quality and quantity of sleep have a great impact on health and overall quality of life. Sleep arousals are transient waking reactions that lead to a more fractured sleep and provide deep insight into the pathophysiology of sleep disorders and sleep quality. According to the American Academy of Sleep Medicine (AASM) guidelines, an arousal is an abrupt shift in the frequency of the electroencephalogram (EEG) that lasts at least three seconds and requires ten seconds of preceding sleep. During rapid eye movement (REM) sleep, a simultaneous increase in the submental electromyogram (EMG) is also required. The medical gold standard for scoring arousals is a time-consuming process performed manually by trained experts. In this process, arousals are visually marked using the EEG and EMG of the polysomnogram (PSG). The annotated events are used to calculate the number of arousals per hour (arousal index), which is used to diagnose sleep disorders. Promising machine learning approaches have been proposed to automate the arousal detection process, but clinical evaluation is lacking. The aim of this work is to propose such an approach using a clinical dataset from our local university laboratory \emph{Universitätsklinikum NAME_1 NAME_2 Dresden} and to investigate the effects on the arousal index. Do not say the word "quantity" in the response
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