AI Article Synopsis
- The paper discusses sonification, a method of representing data through sound, detailing how to map sound parameters to specific data sets.
- It classifies various sonification techniques and describes tools used to display sound, such as tempolenses and effects like loudness variations.
- The focus is on potential future applications of sonification in medicine, emphasizing the need for critical evaluation and innovation in current methods.
Article Abstract
This 'vision' paper refers to sonification - a novel method to represent data by sounds. A short theoretical background comprises the main features to attach sound to a set of data - how to map the correspondence between the sound parameters (pitch, duration) and the initial set of data. The classification of sonification methods is followed by a description of sound display tools - tempolenses and artifacts (saccadic display or loudness variations). The Results section comprises examples of sonification performed by our team: heart rate (HR), ECG signals, HR variations during exercise, including warning procedures. The procedure to evaluate the discriminant power of various sonification algorithms is then described. As a 'vision' paper, the most important part is not represented by the results, but the potential future developments, presented in the Discussion section, which starts with a critical view of the present state and presents future potential applications of sonification in medicine.
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