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The analysis of the potential use of various types of tempolenses is also discussed. An application of such a protocol will herbal slim corp seif pentru promil important data for further studies on potential use of sonifcation tools in the analysis of various biological signals.

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Keywords: ECG, sonification, tempolens, discriminant power. Its potential use for cardiac signals representation was revealed by the pioneering work of Ballora 2. However, sonification of biological signals is still in its infancy, studied by just a few research teams.

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This is due not only to the absence of appropriate equipment, but also to the lack of a proper semiology, to allow the potential user to retrieve, recognize and classify a signal - the essential step to bring this method within the arsenal of cardiac investigations.

This paper is the first in a set of articles which intend to present a set up of a methodology for a classification of some cardiac signals, sonified by various methods, starting with a short presentation of these sonification methods.

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A short presentation of sonification methods, as described by Mihalas et al. There are several ways to transform a parameter of a signal into a parameter of the corresponding sound. One can distinguish three major levels for sonification, briefly presented bellow.

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This level assumes a direct correspondence between the frequency of the sound and the amplitude of the signal linear of exponential. In fact we can set an arbitrary value for the duration this sound. Let us mention here that the frequencies produced by the acoustic transform belong to a continuous spectrum. For level S we can add algorithms for obtaining various durations of the sounds.

This level will not be analyzed in this pierderea în greutate temperanță mi. Various tools developed for enhancing the performances of a visualization procedure can be transposed also for sonification.

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The preliminary results show a good resolution, without inutile prolongation of other segments. For this phase of the study we worked with cardiac signals for humans downloaded from PhysioBank 6from both healthy subjects and from patients presenting sleep apnea, congestive heart failure and arrhythmia. Only one ECG lead was used; with sampling rate of Hz. When it was originally recorded with a different sampling rate, it is resampled.

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