TY - GEN
T1 - Association between maternal-fetal cardiac coupling strengths with maternal and fetal parameters
AU - Alkhodari, Mohanad
AU - Widatalla, Namareq
AU - Wahbah, Maisam
AU - Al Sakaii, Raghad
AU - Funamoto, Kiyoe
AU - Krishnan, Anita
AU - Kimura, Yoshitaka
AU - Khandoker, Ahsan
N1 - Funding Information:
*This work was supported by the Healthcare Engineering Innovation Center (HEIC) at Khalifa University, UAE, with grant id: 8474000132 1Mohanad Alkhodari, Maisam Wahbah, Raghad Al Sakaji, Kiyoe Funamoto and Ahsan Khandoker are with the Healthcare Engineering Innovation Center (HEIC), Department of Biomedical Engineering, Khalifa University, Abu Dhabi, UAE ({mohanad.alkhodari, ahsan.khandoker}@ku.ac.ae) 2Namareq Widatalla is with the Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan 3Anita Krishnan is with the Division of Cardiology, Children’s National Hospital, Washington, United States 4Yoshitaka Kimura is with the Department of Maternal and Child Health Care Medical Science, Graduate School of Medicine, Tohoku University, Sendai, Japan 978-1-6654-8512-8/22/$31.00 ©2022 IEEE
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This study aims to investigate the associations of maternal-fetal demographic information (age, gestational age, and body mass index (BMI)) and heart rate variability with their cardiac coupling mechanisms during pregnancy. Coupling was determined from one-minute maternal-fetal electrocardio-graphy (ECG) signals in 172 pregnant women using phase coherence (λ) calculations. Accordingly, variables such as gestational age, maternal BMI, and maternal-fetal heart rate were found significant (p-value < 0.05) in discriminating between [1:2], [2:3], and [3:5] coupling scenarios. The results suggest the importance of maternal-fetal parameters and ECG recordings in the assessment of fetal well-being during pregnancy. Clinical Relevance-The maternal psychophysiological states are highly correlated with the fetal cardiac system.
AB - This study aims to investigate the associations of maternal-fetal demographic information (age, gestational age, and body mass index (BMI)) and heart rate variability with their cardiac coupling mechanisms during pregnancy. Coupling was determined from one-minute maternal-fetal electrocardio-graphy (ECG) signals in 172 pregnant women using phase coherence (λ) calculations. Accordingly, variables such as gestational age, maternal BMI, and maternal-fetal heart rate were found significant (p-value < 0.05) in discriminating between [1:2], [2:3], and [3:5] coupling scenarios. The results suggest the importance of maternal-fetal parameters and ECG recordings in the assessment of fetal well-being during pregnancy. Clinical Relevance-The maternal psychophysiological states are highly correlated with the fetal cardiac system.
UR - http://www.scopus.com/inward/record.url?scp=85142347983&partnerID=8YFLogxK
U2 - 10.1109/ESGCO55423.2022.9931351
DO - 10.1109/ESGCO55423.2022.9931351
M3 - Conference contribution
AN - SCOPUS:85142347983
T3 - 2022 12th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2022
BT - 2022 12th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2022
Y2 - 9 October 2022 through 12 October 2022
ER -
