Velocity and directionality of the electrohysterographic signal propagation.
OBJECTIVE
The initiation of treatment for women with threatening preterm labor requires effective distinction between true and false labor. The electrohysterogram (EHG) has shown great promise in estimating and classifying uterine activity. However, key issues remain unresolved and no clinically usable method has yet been presented using EHG. Recent studies have focused on the propagation velocity of the EHG signals as a potential discriminator between true and false labor. These studies have estimated the propagation velocity of individual spikes of the EHG signals. We therefore focus on estimating the propagation velocity of the entire EHG burst recorded during a contraction in two dimensions.


METHODS
EHG measurements were performed on six women in active labor at term, and a total of 35 contractions were used for the estimation of propagation velocity. The measurements were performed using a 16-channel two-dimensional electrode grid. The estimates were calculated with a maximum-likelihood approach.


RESULTS
The estimated average propagation velocity was 2.18 (±0.68) cm/s. No single preferred direction of propagation was found.


CONCLUSIONS
The propagation velocities estimated in this study are similar to those reported in other studies but with a smaller intra- and inter-patient variation. Thus a potential tool has been established for further studies on true and false labor contractions.
Department of Engineering, Faculty of Science and Technology, Aarhus University, Aarhus, Denmark.
Lasse
L
Lange
Department of Engineering, Faculty of Science and Technology, Aarhus University, Aarhus, Denmark.
Anders
A
Vaeggemose
Department of Engineering, Faculty of Science and Technology, Aarhus University, Aarhus, Denmark.
Preben
P
Kidmose
Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark.
Eva
E
Mikkelsen
Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark.
Niels
N
Uldbjerg
Department of Engineering, Faculty of Science and Technology, Aarhus University, Aarhus, Denmark.
Peter
P
Johansen
D005260:Female; D006801:Humans; D015907:Hysteroscopy / Q000379:methods*; D016013:Likelihood Functions; D007752:Obstetric Labor, Premature / Q000175:diagnosis*; D011247:Pregnancy; D012815:Signal Processing, Computer-Assisted; D014590:Uterine Contraction / Q000502:physiology; D014599:Uterus / Q000502:physiology