Feasibility Trial of the Womb Watch Smartphone App To Assess Fetal Movements

NCT07626112 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 60

Last updated 2026-06-04

No results posted yet for this study

Summary

The surveillance of pregnancies at risk for fetal loss secondary to high-risk maternal or fetal conditions remains a mainstay of perinatal care. Current testing to prevent fetal loss includes the regular use of ultrasound (biophysical profile) or fetal heart rate monitoring (non-stress test) in an outpatient clinic setting once or twice weekly. A patient may also be asked to subjectively assess daily fetal movements during the time between routine antepartum testing appointments. However, there are no good systems for pregnant women to objectively measure fetal movements. Smartphones have allowed for the development of applications that utilize various embedded devices including the camera and microphone.

In our recent pilot STUDY00001552 of 205 pregnant patients, placement of the iPhone10 microphone directly on the maternal abdominal wall was utilized to detect fetal movements. AI assessment of the audio recordings proved superior to maternal perception of fetal movements that were recorded during simultaneous ultrasound (gross fetal movements: 64% audio vs 18% maternal; breathing: 93% vs 3%, hiccups: 73% vs 3%).

This trial is a prospective, observational, feasibility study of 60 patients that includes both low-risk and high-risk pregnant women to examine the usability of the Womb Watch smartphone application.

The study will involve introduction of the Womb Watch app to a population of pregnant patients. Features of the app will be modified based on participant feedback. Anxiety levels of the patient will be tracked serially using a survey tool. The various types and versions of smartphones will be assessed to see if they affect the AI model. Finally, patients will be asked to determine the strength of fetal movements to see if this parameter can be assessed by the AI model. Amniotic fluid data will assessed through clinical ultrasounds to see if this also has any effect on the AI model's ability to detect fetal movements.

Conditions

  • Assessment of Fetal Movement
  • Pregnancy
  • Pregnancy Complications
  • Pregnancy Complications Affecting Fetus (Diagnosis)
  • Stillbirth
  • Stillbirth and Neonatal Mortality
  • Fetal Movement

Interventions

DEVICE

Smartphone Application

Pregnant women between 28 - 40 weeks gestation will audio daily for 15 minutes using their personal smartphone with upload to the Womb Watch app. The microphone of the smartphone will be placed against the pregnant uterus. The audio files will be uploaded from the Womb Watch app via Google Firestore to an encrypted database at the Texas Advanced Computing Center (TACC-UT Austin). After the audio recording is uploaded, participants will be asked to assess the strength of fetal movements using a Likert scale in the app. Artificial intelligence will be employed to determine the number and strength of three categories of fetal movements: gross body movements, fetal breathing and fetal hiccups. Participants will receive the AI analysis regarding these movements through the customized app.

Sponsors & Collaborators

  • The University of Texas Health Science Center, Houston

    collaborator OTHER
  • The University of Texas Medical Branch, Galveston

    collaborator OTHER
  • Kenneth Moise MD

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-07-01
Primary Completion
2027-09-30
Completion
2027-09-30
FDA Device
Yes

Countries

  • United States

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07626112 on ClinicalTrials.gov