Separation of Heart Sound Artifact from Respiratory Signals Using Singular Spectrum based Advanced Line Enhancer
نویسنده
چکیده
Both the heart sound and lung sound are produced within the almost same region of the human body. Heart sound makes severe interference while hearing the lung sound for the diagnosis purpose. So the separation of these sounds is very important for a accurate diagnosis. A special Advanced Line Enhancer (ALE), employing the strength of Singular Spectrum Analysis (SSA) is used in this paper. The SSA based ALE is comparatively a new filtering technique which have the advantage of adaptive selection of useful Eigen triples in the reconstruction stage of the normal SSA. Synthetically mixed and real respiratory signals are used to evaluate this method. The result of the proposed method is compared with the conventional ALE method. The performance of the proposed method is better than the conventional ALE in terms of output signal to noise ratio and correlation coefficient.
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