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Affective state recognition based on multiple modalities of physiological signals has been a hot research topic. Traditional methods require designing hand-crafted features based on domain knowledge, which is time-consuming and has not achieved a satisfactory performance. On the other hand, conducting classification on raw signals directly can also cause some problems, such as the interference of...
The relationship between music and physiological indicators of emotion has attracted increased attention in the past two decades. However, the limitations of small sample sizes and the difficulty in designing ecological studies involving physiology and emotion make it hard to gain convincing and practical insight into the mechanisms behind them. In this paper, we propose a novel combination of spectral...
Clinicians' decision for mechanical aid discontinuation is a challenging task that involves a complete knowledge of a great number of clinical parameters, as well as its evolution in time. Respiratory pattern variability appears as a useful extubation readiness indicator, and thus can be used as an informative feature in a statistical pattern recognition framework. Reliable assessment of this variability...
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