@article{603502108b104882a9a00488fa71ede6,
title = "Model-based estimation of QT intervals of mouse fetal electrocardiogram",
abstract = "Background: Abnormal prolongation in the QT interval or long QT syndrome (LQTS) is associated with several cardiac complications such as sudden infant death syndrome (SIDS). LQTS is believed to be linked to genetic mutations which can be understood by using animal models, such as mice models. Nevertheless, the research related to fetal QT interval in mice is still limited because of challenges associated with T wave measurements in fetal electrocardiogram (fECG). Reliable measurement of T waves is essential for estimating their end timings for QT interval assessment. Results: A mathematical model was used to estimate QT intervals. Estimated QT intervals were validated with Q-aortic closure (Q-Ac) intervals of Doppler ultrasound (DUS) and comparison between both showed good agreement with a correlation coefficient higher than 0.88 (r > 0.88, P < 0.05). Conclusion: Model-based estimation of QT intervals can help in better understanding of QT intervals in fetal mice.",
author = "Namareq Widatalla and Kiyoe Funamoto and Motoyoshi Kawataki and Chihiro Yoshida and Kenichi Funamoto and Masatoshi Saito and Yoshiyuki Kasahara and Ahsan Khandoker and Yoshitaka Kimura",
note = "Funding Information: The work in this paper has been supported by RIKEN Healthcare and Medical Data Platform Project, the funding for basic medical research by Shiguredo Inc. and collaborative CIRA Grant (2019-023) awarded to Ahsan Khandoker by Khalifa University Abu Dhabi. Also, the research is partially supported by the Project for Baby and Infant in Research of Health and Development to Adolescent and Young adult from Japan Agency for Medical Research and development, AMED. Also, part of the experiments was supported by the Institute of Fluid Science (IFS). Tohoku University and Japan society of the promotion of science (JSPS) (KAKENHI Grant Number 25860902). Funding Information: The authors would like to thank Prof. Toshiyuki Hayase at Institute of Fluid Science (IFS), Tohoku University, for the part of experiments carried out under the Collaborative Research Project of IFS. Kiyoe F. acknowledges JSPS KAKENHI Grant Number 25860902. The work in this paper has been supported by RIKEN Healthcare and Medical Data Platform Project, the funding for basic medical research by Shiguredo Inc and collaborative CIRA grant (2019-023) awarded to Ahsan Khandoker by Khalifa University Abu Dhabi. Also, the research is partially supported by the Project for Baby and Infant in Research of Health and Development to Adolescent and Young adult from Japan Agency for Medical Research and development, AMED. Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = dec,
doi = "10.1186/s12938-022-01015-5",
language = "British English",
volume = "21",
journal = "BioMedical Engineering Online",
issn = "1475-925X",
publisher = "BioMed Central Ltd.",
number = "1",
}