TY - JOUR
T1 - The contractiongram
T2 - A method for the visualization of uterine contraction evolution using the electrohysterogram
AU - Batista, Arnaldo G.
AU - Cebola, Ricardo
AU - Esgalhado, Filipa
AU - Russo, Sara
AU - dos Reis, Catarina R. Palma
AU - Serrano, Fátima C.
AU - Vassilenko, Valentina
AU - Ortigueira, Manuel
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150312%2F2019/PT#
PY - 2021/5
Y1 - 2021/5
N2 - Uterine contractions’ monitoring has been pointed out as an important tool that may be useful in the preterm risk assessment, term birth estimation and uterine physiology investigation. The multichannel EHG provides a mapping of the myometrium electrical activity projection on the selected channels, providing a wealth of information, including pacemaker regions, signal propagation and contraction amplitude and spectral characteristics. The EHG multichannel data representation, regarding contractile activity, presents an interpretation challenge, given the presence of the multiple contractions of, possibly, different types, in the respective acquisition channels, for different recording sessions and gestational ages of one or multiple pregnant subjects. Typically, an EHG dataset contains data from various subjects, for which multiple recording sessions could be performed, possibly leading to hundreds of recordings. The post-processing step of this data for contraction retrieval may result in multidimensional datasets, requiring interpretation in multiple research scenarios. In this work, a novel representation method is introduced, the Contractiongram, an intuitive graphical tool to facilitate the interpretation of the EHG contractile data for a subject or a whole dataset, throughout the pregnancy, including multisession acquisition scenarios. An application example is presented for a widely used open access EHG database. A contraction detection and classification were a result of a previous research work and used as a data pool for this study. The graphical representation obtained in the current study is a suitable tool for the identification of uterine contraction patterns in selected channels corresponding to different myometrial regions, in designated gestational ages.
AB - Uterine contractions’ monitoring has been pointed out as an important tool that may be useful in the preterm risk assessment, term birth estimation and uterine physiology investigation. The multichannel EHG provides a mapping of the myometrium electrical activity projection on the selected channels, providing a wealth of information, including pacemaker regions, signal propagation and contraction amplitude and spectral characteristics. The EHG multichannel data representation, regarding contractile activity, presents an interpretation challenge, given the presence of the multiple contractions of, possibly, different types, in the respective acquisition channels, for different recording sessions and gestational ages of one or multiple pregnant subjects. Typically, an EHG dataset contains data from various subjects, for which multiple recording sessions could be performed, possibly leading to hundreds of recordings. The post-processing step of this data for contraction retrieval may result in multidimensional datasets, requiring interpretation in multiple research scenarios. In this work, a novel representation method is introduced, the Contractiongram, an intuitive graphical tool to facilitate the interpretation of the EHG contractile data for a subject or a whole dataset, throughout the pregnancy, including multisession acquisition scenarios. An application example is presented for a widely used open access EHG database. A contraction detection and classification were a result of a previous research work and used as a data pool for this study. The graphical representation obtained in the current study is a suitable tool for the identification of uterine contraction patterns in selected channels corresponding to different myometrial regions, in designated gestational ages.
KW - Alvarez High
KW - Alvarez Low
KW - Braxton-Hicks
KW - Clustering
KW - Contractiongram
KW - Electrohysterography
KW - Uterine electromyography
UR - http://www.scopus.com/inward/record.url?scp=85102087775&partnerID=8YFLogxK
U2 - 10.1016/j.bspc.2021.102531
DO - 10.1016/j.bspc.2021.102531
M3 - Article
AN - SCOPUS:85102087775
SN - 1746-8094
VL - 67
JO - Biomedical Signal Processing and Control
JF - Biomedical Signal Processing and Control
M1 - 102531
ER -