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Performance comparison of artificial neural network and Gaussian mixture model in classifying hand motions by using sEMG signals

Baspinar U., Varol H. S., Senyurek V. Y.

Biocybernetics and Biomedical Engineering

2013

Vol. 33, no. 1

33--45

In this study, a home-made four channel sEMG amplifier circuit was designed for measuring of sEMG signals. The measured sEMG signals were recorded on to a computer with help of a DAQ board. The recorded sEMG signals were filtered first with a high-pass filter and afterwards a wavelet based filtering was applied to remove unwanted noises. Before applying of the wavelet based filtering, it was first determined which wavelet type, threshold selection rule and threshold would be suitable for the denoising process. As a second step, the recorded and denoised signals’ features were extracted. For classification of motions 8 time domain and 2 frequency domain features were used individually and in combinations. Lastly, seven different motions were classified and their classification performances were compared. In this study, classification rates of ANN and GMM classifiers were compared as regards features.

Time frequency analysis of patent ductus arteriosus disease in dogs

Akgün Ö., Varol H. S.

Przegląd Elektrotechniczny

2012

R. 88, nr 9b

309-313

This study is based on the analysis of the heart sound signals taken from different auscultation areas of three dogs diagnosed with Patent Ductus Arteriosus (PDA). The analyses were started by introducing the mathematical substructure of the methods used. Then the phonocardiographic signals taken from the three dogs were assessed in terms of time-amplitude (t-a) and frequency amplitude (f-a); subsequently, the components of the signals in time-frequency dimensions were examined. As a result of these analyses, the importance of the auscultation area and time-frequency examination in the diagnosis of the PDA disease was demonstrated.

W artykule zaprezentowano analize shgnałów serca z różnych obszarów ciała trzech psów cierpiących na chorobę Patent Ductus Arteriosus. Przeprowadzono analizę harmoniczną sygnałów w dziedzinie czasu.