Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records

Autor: Franc Jager, Žiga Pirnar, Miha Lucovnik, Paula Vouk, Ksenija Gersak, Ana Borovac, Andreja Trojner-Bregar
Rok vydání: 2020
Předmět:
0206 medical engineering
prazni intervali
short-time cross-correlation
02 engineering and technology
lcsh:Chemical technology
electrohysterogram
Biochemistry
Article
Nerve conduction velocity
Analytical Chemistry
Uterine Contraction
conduction velocity
Electricity
Pregnancy
Vertical direction
preterm birth prediction
0202 electrical engineering
electronic engineering
information engineering
Humans
lcsh:TP1-1185
cross correlation
Electrical and Electronic Engineering
Instrumentation
dummy intervals
Mathematics
conduction velocity directionality
križna korelacija
Electromyography
Uterus
Infant
Newborn
propagation of EHG waves
napovedovanje prezgodnjega poroda
Geodesy
020601 biomedical engineering
propagacija EHG valov
Atomic and Molecular Physics
and Optics
Sample entropy
udc:004:616.831-073.7-71
hitrost prevajanja
Premature Birth
intervali s popadki
Female
020201 artificial intelligence & image processing
contraction intervals
Zdroj: Sensors, vol. 20, no. 24, 7328, 2020.
Sensors, Vol 20, Iss 7328, p 7328 (2020)
Sensors
Volume 20
Issue 24
Sensors (Basel, Switzerland)
ISSN: 1424-8220
DOI: 10.3390/s20247328
Popis: The aim of the present study was to assess the capability of conduction velocity amplitudes and directions of propagation of electrohysterogram (EHG) waves to better distinguish between preterm and term EHG surface records. Using short-time cross-correlation between pairs of bipolar EHG signals (upper and lower, left and right), the conduction velocities and their directions were estimated using preterm and term EHG records of the publicly available Term&ndash
Preterm EHG DataSet with Tocogram (TPEHGT DS) and for different frequency bands below and above 1.0 Hz, where contractions and the influence of the maternal heart rate on the uterus, respectively, are expected. No significant or preferred continuous direction of propagation was found in any of the non-contraction (dummy) or contraction intervals
however, on average, a significantly lower percentage of velocity vectors was found in the vertical direction, and significantly higher in the horizontal direction, for preterm dummy intervals above 1.0 Hz. The newly defined features&mdash
the percentages of velocities in the vertical and horizontal directions, in combination with the sample entropy of the EHG signal recorded in the vertical direction, obtained from dummy intervals above 1.0 Hz&mdash
showed the highest classification accuracy of 86.8% (AUC=90.3%) in distinguishing between preterm and term EHG records of the TPEHGT DS.
Databáze: OpenAIRE
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