TY - GEN
T1 - Adaptive neuro-fuzzy inference systems for extracting fetal electrocardiogram
AU - Assaleh, Khaled
PY - 2006
Y1 - 2006
N2 - In this paper, we present an efficient technique for extracting the fetal electrocardiogram (FECG) from a composite ECG recording. Our technique uses an adaptive neuro-fuzzy inference system (ANFIS) that operates on two ECG signals recorded at the thoracic and abdominal areas of the mother's skin. The thoracic ECG is assumed to be purely maternal. However, the abdominal ECG will contain both a maternal component as well as a fetal one. This maternal component is considered to be a nonlinearly transformed version of the thoracic ECG. Once this nonlinear transformation is determined, the thoracic ECG signal can be aligned with the maternal component in the abdominal ECG signal. We use ANFIS to perform this nonlinear alignment. The FECG signal is then extracted by simply subtracting the aligned version of the thoracic ECG signal from the abdominal ECG signal.
AB - In this paper, we present an efficient technique for extracting the fetal electrocardiogram (FECG) from a composite ECG recording. Our technique uses an adaptive neuro-fuzzy inference system (ANFIS) that operates on two ECG signals recorded at the thoracic and abdominal areas of the mother's skin. The thoracic ECG is assumed to be purely maternal. However, the abdominal ECG will contain both a maternal component as well as a fetal one. This maternal component is considered to be a nonlinearly transformed version of the thoracic ECG. Once this nonlinear transformation is determined, the thoracic ECG signal can be aligned with the maternal component in the abdominal ECG signal. We use ANFIS to perform this nonlinear alignment. The FECG signal is then extracted by simply subtracting the aligned version of the thoracic ECG signal from the abdominal ECG signal.
KW - Adaptive neuron-fuzzy systems
KW - Fetal electrocardiogram
KW - Noninvasive extraction
KW - Nonlinear transformation
UR - https://www.scopus.com/pages/publications/44449135579
U2 - 10.1109/ISSPIT.2006.270782
DO - 10.1109/ISSPIT.2006.270782
M3 - Conference contribution
AN - SCOPUS:44449135579
SN - 0780397541
SN - 9780780397545
T3 - Sixth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT
SP - 122
EP - 126
BT - Sixth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2006
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2006
Y2 - 27 August 2006 through 30 August 2006
ER -