Two-stage cylindrical magnetic localization with neural network calibration for wearable capsule endoscopy
Omid Yaghoobian, Mokarrameh Einlou, Khan A. Wahid · 2026
Read Two-stage cylindrical magnetic localization with neural network calibration for wearable capsule endoscopy by Omid Yaghoobian, Mokarrameh Einlou, Khan A. Wahid (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13328681.txt.
Description
Omid Yaghoobian, Mokarrameh Einlou, and Khan Wahid improve tracking of a swallowable camera in a 2026 paper. A capsule endoscope drifts through the gut taking pictures, but doctors need to know where each picture was taken. Magnetic tracking from a wearable sensor set can drift due to sensor flaws and body motion.
Their method models the magnet field in cylindrical form, which splits the tracking into stable stages. A neural network then corrects sensor distortion from metal effects and shifting alignment. Tests with four wearable sensors gave average errors near a tenth of a centimeter when still and a fifth when moving. Readers get a practical path to precise gut mapping.
Catalog record
| CREATOR | Omid Yaghoobian, Mokarrameh Einlou, Khan A. Wahid |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 95 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |