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

Conditions

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

Eligibility Criteria

Sex

FEMALE

Age

18 Years - 45 Years

Healthy Volunteers

Not accepted

Interventions

• Smartphone Application — DEVICE
  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.

Study Details

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.

Key Dates

Start date

Jul 1, 2026

Status verified

May 2026

Primary completion

Sep 30, 2027

Completion

Sep 30, 2027

Study Design

Enrollment

60 participants (estimated)

Arms

• Arm: 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.

Primary Outcome Measure

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

Central Contacts

• Kenneth Moise, MD
  713-444-7603
  [email protected]

Locations (3)

Find similar trials in Austin, TX

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