TY - GEN
T1 - Automated identification of abnormal fetuses using fetal ECG and Doppler ultrasound signals
AU - Khandoker, Ahsan H.
AU - Kimura, Yoshitaka
AU - Palaniswami, M.
PY - 2009/12/1
Y1 - 2009/12/1
N2 - In this study, we propose an automated algorithm (support vector machines, SVM) to recognize the abnormal fetus using the timings of fetal cardiac events on the basis of analysis of simultaneously recorded fetal ECG (FECG) and Doppler ultrasound (DUS) signal. FECG and DUS signals from 29 fetuses [21 normal and 8 abnormal] were analyzed. Multiresolution wavelet analysis was used to link the frequency contents of the Doppler signals with the opening(o) and closing(c) of the heart's valves [Aortic (A) and Mitral(M)]. Five types of feature, namely 1) R-R intervals, 2) time intervals from R-wave of QRS complex of FECG to opening and closing of aortic valve, i.e. R-Ao 3) R-Ac 4) for the mitral valve R-Mc and 5) R-Mo were extracted from 60 beats and used as inputs to the SVM. Using leave-one-fetus out cross validation technique, an SVM with polynomial kernel (d=3, C=10) correctly recognized 8 abnormal (heart anomalies) fetuses out of 29 fetuses.
AB - In this study, we propose an automated algorithm (support vector machines, SVM) to recognize the abnormal fetus using the timings of fetal cardiac events on the basis of analysis of simultaneously recorded fetal ECG (FECG) and Doppler ultrasound (DUS) signal. FECG and DUS signals from 29 fetuses [21 normal and 8 abnormal] were analyzed. Multiresolution wavelet analysis was used to link the frequency contents of the Doppler signals with the opening(o) and closing(c) of the heart's valves [Aortic (A) and Mitral(M)]. Five types of feature, namely 1) R-R intervals, 2) time intervals from R-wave of QRS complex of FECG to opening and closing of aortic valve, i.e. R-Ao 3) R-Ac 4) for the mitral valve R-Mc and 5) R-Mo were extracted from 60 beats and used as inputs to the SVM. Using leave-one-fetus out cross validation technique, an SVM with polynomial kernel (d=3, C=10) correctly recognized 8 abnormal (heart anomalies) fetuses out of 29 fetuses.
UR - http://www.scopus.com/inward/record.url?scp=77952739373&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952739373&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77952739373
SN - 9781424472819
T3 - Computers in Cardiology
SP - 709
EP - 712
BT - Computers in Cardiology 2009, CinC 2009
T2 - 36th Annual Conference of Computers in Cardiology, CinC 2009
Y2 - 13 September 2009 through 16 September 2009
ER -