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Accelerometric Assessment of Gastric Contractility Using the Atmo Wireless Motility Capsule.

William L Hasler1, Thomas Abell2, Ashok Attaluri3

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Neurogastroenterology and Motility
|February 11, 2026
PubMed
Summary
This summary is machine-generated.

The Atmo Capsule accurately quantifies gastric contractions, identifying reduced amplitudes in patients with delayed gastric emptying. This wireless motility capsule shows potential for diagnosing gastric dysmotility.

Keywords:
contractilitydysmotilitygastroparesisstomachwireless motility capsule

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Area of Science:

  • Gastroenterology
  • Medical Devices
  • Physiology

Background:

  • Gastric dysmotility is characterized by abnormal transit and reduced contractility, with limited quantification methods.
  • The Atmo Capsule is a wireless motility capsule designed to measure gastrointestinal transit.
  • This study evaluated the Atmo Capsule's capability to assess gastric contractility via acceleration changes.

Purpose of the Study:

  • To assess the technical capabilities of the Atmo Capsule for evaluating gastric contractility.
  • To differentiate normal from pathological gastric motor patterns using capsule-based acceleration data.
  • To support the potential use of the Atmo Capsule in diagnosing gastric dysmotility.

Main Methods:

  • Collected data from 91 healthy controls and 182 patients using the Atmo Capsule.
  • Defined delayed gastric emptying time (GET) as ≥5 hours.
  • Analyzed contraction frequencies (cycles per minute) and amplitudes (arbitrary units) using Fast Fourier Transformation of accelerometer data in 5-min and 30-min windows.

Main Results:

  • Delayed gastric emptying was observed in 29% of patients.
  • Consistent three cycles per minute contraction frequencies were found in all groups.
  • Lower mean amplitudes in the late gastric phase were observed in patients with delayed gastric emptying compared to controls and patients with normal emptying.

Conclusions:

  • The Atmo Capsule enables precise quantification of gastric contraction profiles.
  • It can differentiate normal from pathological gastric motor patterns.
  • Findings support its potential for evaluating gastric physiology and detecting dysmotility patterns.