Skip to main content
OpenTrials
Completed

NCT Number: NCT03785795

Multichannel EMG Diagnosing True Preterm Labor

We have designed new electromyography sensors for measuring uterine activity. These sensors are directional - they preferentially report uterine muscle contractions at specific locations, called regions. By measuring the synchronization of the regions of the uterus during contractions we intend to non-invasively determine if any patient is in-labor or not-in-labor. Accurately diagnosing true preterm labor allows timely intervention to avoid preterm birth; Accurately diagnosing false preterm labor avoids needlessly treating patients who would not benefit.

Completed

Looking for future studies?

Notify Me

Key information

Age range

18 year–50 year

Sex eligibility

Female

Study type

Observational

Primary location

University of Rochester

Rochester, New York, 14642, United States

About this study

The legacy device for assessing uterine contractions is the tocodynamometer (Toco). The Toco is plunger-driven device that measures the uterine shape change that occurs with a contraction. Toco only reports the timing of contractions, not the contraction strength, and cannot distinguish between false and true labor.

Our overarching goal is to validate our method of determining if a patient experiencing contractions is in true labor or false labor. We will accomplish this by applying new knowledge to an old technology - uterine EMG.

This trial is based on our advanced understanding of how the uterus generates coordinated contractions without a pacemaker or dedicated electrical conduction pathways - mechanotransduction and intrauterine pressure - but also uses bioelectrical signaling for local tissue recruitment.

The uterus emits bioelectrical signals with each contraction that can be detected by electromyography (EMG). To observe uterine bioelectrical signals, we created a novel EMG sensor, we call the "area sensor". This sensor is directional - capable of preferentially reporting muscle contractions from immediately below the sensor location.

In this clinical trial we use multiple area sensors placed on the maternal abdomen to directly observe how well the regional contractions are synchronized. Our hypothesis to be tested is that highly synchronized contractions predicts true labor, unsynchronized predicts false labor.

Patients with unclear labor status, or those in early labor will be studied. We will correlate the results of the synchronization analysis against the patient's progress over the ensuing 24 hours. These data will validate the ability to identify false and true labor using multichannel EMG and area sensors.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Pregnant
  • One living fetus
  • Experiencing frequent uterine contractions

Exclusion criteria

  • Cervical dilation > 4 cm
  • Ruptured membranes
  • Maternal or fetal indications for immediate delivery

Treatment and study plan

Uncertain diagnosis of true labor

Device

Multichannel EMG of uterine bioelectrical signals will be recorded using area sensors. The output of the synchronization calculations will be correlated with the time to delivery

Primary outcomes

  1. Validating prediction of true/false labor status with delivery within 24 hours

    Time frame: 24 hours

    The test device predicts delivery. The prediction on each subject will be compared against the observed delivery time.

Secondary outcomes

  1. Establishing the range and trend of synchronized sensor readings

    Time frame: 48 hours

    The fraction of EMG channels active during each contraction, and the running average of the fraction, will be correlated with time to delivery

Sponsors and collaborators

Lead sponsor

PreTeL, Inc

Industry

Collaborators

  • University of Rochester

Registry information

Official study title

Optimizing and Validating an EMG-based Fetal Monitor to Identify True Preterm Labor

Acronym: PTL

Important dates

Study start
2018
Primary completion
2020
Study completion
2020
First posted
Dec 24, 2018
Registry last updated
Feb 12, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.