TY - JOUR
T1 - A Binary Classification of Cardiovascular Abnormality Using Time-Frequency Features of Cardio-mechanical Signals
AU - Yang, Chenxi
AU - Aranoff, Nicole D.
AU - Green, Philip
AU - Tavassolian, Negar
PY - 2018/7/1
Y1 - 2018/7/1
N2 - This paper introduces a novel method of binary classification of cardiovascular abnormality using the time-frequency features of cardio-mechanical signals, namely seismocardiography (SCG) and gyrocardiography (GCG) signals. A digital signal processing framework is proposed which utilizes decision tree and support vector machine methods with features generated by continuous wavelet transform. Experimental measurements were collected from twelve patients with cardiovascular diseases as well as twelve healthy subjects to evaluate the proposed method. Results reveal an overall accuracy of more than 94% with the best performance achieved from SVM classifiers with GCG training features. This suggests that the proposed solution could be a promising method for classifying cardiovascular abnormalities.
AB - This paper introduces a novel method of binary classification of cardiovascular abnormality using the time-frequency features of cardio-mechanical signals, namely seismocardiography (SCG) and gyrocardiography (GCG) signals. A digital signal processing framework is proposed which utilizes decision tree and support vector machine methods with features generated by continuous wavelet transform. Experimental measurements were collected from twelve patients with cardiovascular diseases as well as twelve healthy subjects to evaluate the proposed method. Results reveal an overall accuracy of more than 94% with the best performance achieved from SVM classifiers with GCG training features. This suggests that the proposed solution could be a promising method for classifying cardiovascular abnormalities.
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U2 - 10.1109/EMBC.2018.8513644
DO - 10.1109/EMBC.2018.8513644
M3 - Article
C2 - 30441567
AN - SCOPUS:85056630585
SN - 1557-170X
VL - 2018
SP - 5438
EP - 5441
JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ER -