Most researches used PCG as an audio input of system to apply different techniques of digital signal processing. Phonocardiogram (PCG) is a diagram of sonic vibration of heart beats. Analysis of heart sounds and extraction of its audio features would be important towards the development of automatic diagnosis systems. Despite murmurs and tones are easily distinguished, weak murmurs and below audibility threshold easily disappear in background sound. Modern stethoscopes are making the auscultation easier to be done. Physicians use the stethoscope as a common tool to listen to the heart sounds and make a correct diagnosis. Sounds produced by the heart frequently reflect the structural abnormalities of the heart. It still plays an important role in the diagnosis of heart disease. The observed results show that, the proposed shifting method significantly improves the performance of the transcription.Īuscultation is the most remarkable approach that has been used in diagnosing many cardiovascular diseases for many years. The proposed technique is tested with 100 samples which were recorded from different heart diseases categories. The main objective of this study is to transfer the heartbeat sounds to the music domain. This paper proposes a frequency shifting method in order to improve the performance of the transcription.
Hence, the transcribed heartbeat sounds provides useful information to monitor the behavior of a patient for the long duration of time. In addition, a text-based data allows applying indexing and searching techniques to access to the critical events. Textual transcription allows recording a continuous heart sound stream using a text format which can be stored in very small memory in comparison with other audio formats. Automatic analysis of heartbeat sounds and extraction of its audio features can assist physicians towards diagnosing diseases. Auscultation is an approach for diagnosing many cardiovascular problems.
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