Recruiting

Womb Watch

Sponsor:

Kenneth Moise MD

Code:

NCT07626112

Conditions

Assessment of Fetal Movement

Pregnancy

Pregnancy Complications

Pregnancy Complications Affecting Fetus (Diagnosis)

Stillbirth

Eligibility Criteria

Sex: Female

Age: 18 - 45

Healthy Volunteers: Not accepted

Interventions

Smartphone Application

Study Details

Brief 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

Study ID

NCT07626112

Start date

Aug 6, 2026

Status verified date

Aug, 2026

Completion date

Sep 30, 2027

Anticipated

Primary completion date

Sep 30, 2027

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: Female

Age: 18 - 45

Healthy Volunteers: Not accepted

Inclusion Criteria:

  • Ability to understand and voluntarily provide written signed informed consent to participate in the study.
  • English speaking (the alpha version of the Womb Watch app is only available in English)
  • Singleton intrauterine pregnancy
  • Estimated gestational age at enrollment 28 weeks to 32 weeks
  • Low-risk pregnancy with normal fetal growth and anatomy and no maternal co-morbidities of note.
  • High-risk pregnancy including fetal anomalies and maternal co-morbidities including but not limited to cardiovascular, pulmonary, hepatic, renal, hematologic, gastrointestinal, endocrine/metabolic, immunologic, dermatologic, neurologic, or oncologic.
  • No prior diagnosis of an anxiety mood disorder or a psychiatric illness
  • Access to internet
  • A functioning email address
  • Owns personal smartphone; iPhone or Android of any generation

Exclusion Criteria:

  • Currently pregnant with multiples (twins or more)
  • Baseline GAD-7 score of 10 or more

Study Design

Enrollment

60 participants

Anticipated

Interventions and Outcome Measures

Arms

Single Group Assignment

Pregnant women between 28 - 40 weeks gestation will record sounds coming from their pregnant abdomen daily for 15 minutes with the Womb Watch smartphone application. Participants must have a singleton intrauterine pregnancy, diagnosed as a low-risk or high-risk pregnancy, no prior diagnosis of an anxiety mood disorder or a psychiatric illness, access to the internet, a functioning email address, owns a personal smartphone, and be English speaking.

Interventions

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.

Primary outcome measure

  • Feasibility of Fetal Movement Assessment Using Pilot Womb Watch Smartphone Application [ Time Frame: From July 2026 to September 2027 ]

Central Contacts and Locations

Central contacts

Locations

University of Texas Medical Branch at Galveston - UTMB Health

Recruiting

Galveston, Texas, United States, 77555

Contacts

Corey C. Clifford, DO

402-440-5726ccliffo@utmb.edu

Maria Lopez, BSN, RN

409-747-1733mrlopez@UTMB.EDU

McGovern Medical School - UTHealth Houston

Recruiting

Houston, Texas, United States, 77030

Contacts

More Information

Sponsor

Kenneth Moise MD

Last update posted

Sep 2, 2026

Last verified

Aug, 2026

Keywords

  • fetal movement
  • stillbirth
  • pregnancy
  • decreased fetal movement
  • IUFD
  • fetal demise
  • fetal kick counting
  • antenatal testing

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-09. This information was provided to ClinicalTrials.gov by Kenneth Moise MD on 2026-09-02.