TY - GEN
T1 - Cardiac arrhythmias and artifacts in fetal heart rate signals
T2 - 11th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2007
AU - Cesarelli, Mario
AU - Romano, M.
AU - Bifulco, P.
AU - Fratini, A.
PY - 2007
Y1 - 2007
N2 - Cardiotocography is the most commonly used noninvasive diagnostic technique that provides physicians information about fetal development (in particular about development of autonomous nervous system - ANS) and wellbeing. It allows the simultaneous recording of Fetal Heart Rate (FHR), by means of a Doppler probe, and Uterine Contractions (UC), by means of an indirect pressure transducer. Currently, in cardiotocographic devices, Doppler methodology involves autocorrelation techniques to recognize heart beats, so evaluation of inter-beats time-interval is very improved. However, recorded FHR signals may contain artifacts, because of the possible degradation, or even less, of the Doppler signal due to relative motion between probe and fetal heart, maternal movements, muscle contractions and other causes. Moreover, fetal cardiac arrhythmias can have an effect on FHR signals. These arrhythmias do not represent an expression of the physiological behavior of the ANS. Both, artifacts and cardiac arrhythmias represent outliers of the FHR signals, so they affect both time domain and time frequency signal analysis. Their detection and correction is therefore necessary before carrying on signal processing. In this work, an algorithm for detection and successive correction of outliers (signal artifacts and fetal cardiac arrhythmias) was developed and tested, both on simulated FHR series and real FHR series.
AB - Cardiotocography is the most commonly used noninvasive diagnostic technique that provides physicians information about fetal development (in particular about development of autonomous nervous system - ANS) and wellbeing. It allows the simultaneous recording of Fetal Heart Rate (FHR), by means of a Doppler probe, and Uterine Contractions (UC), by means of an indirect pressure transducer. Currently, in cardiotocographic devices, Doppler methodology involves autocorrelation techniques to recognize heart beats, so evaluation of inter-beats time-interval is very improved. However, recorded FHR signals may contain artifacts, because of the possible degradation, or even less, of the Doppler signal due to relative motion between probe and fetal heart, maternal movements, muscle contractions and other causes. Moreover, fetal cardiac arrhythmias can have an effect on FHR signals. These arrhythmias do not represent an expression of the physiological behavior of the ANS. Both, artifacts and cardiac arrhythmias represent outliers of the FHR signals, so they affect both time domain and time frequency signal analysis. Their detection and correction is therefore necessary before carrying on signal processing. In this work, an algorithm for detection and successive correction of outliers (signal artifacts and fetal cardiac arrhythmias) was developed and tested, both on simulated FHR series and real FHR series.
KW - Fetal cardiac arrhythmias
KW - Global outliers
KW - Local outliers
KW - Median filter
UR - http://www.scopus.com/inward/record.url?scp=85007128546&partnerID=8YFLogxK
UR - https://link.springer.com/chapter/10.1007%2F978-3-540-73044-6_205
U2 - 10.1007/978-3-540-73044-6_205
DO - 10.1007/978-3-540-73044-6_205
M3 - Conference publication
AN - SCOPUS:85007128546
SN - 9783540730439
T3 - IFMBE Proceedings
SP - 789
EP - 792
BT - IFMBE Proceedings
A2 - Jarm, Tomaz
A2 - Kramar, Peter
A2 - zupanic, Anze
PB - Springer
Y2 - 26 June 2007 through 30 June 2007
ER -