Non-invasive transabdominal fetal electroencephalography
ID202605934APending Publication Date: 2026-07-17YALE UNIVERSITY
Patent Information
- Authority / Receiving Office
- ID · ID
- Patent Type
- Applications
- Current Assignee / Owner
- YALE UNIVERSITY
- Filing Date
- 2024-05-02
- Publication Date
- 2026-07-17
Abstract
The examples described herein provide a computer-implemented method that includes receiving a non-invasive transabdominal fetal electroencephalography (TA-fEEG) signal associated with a pregnant subject. The method also includes reducing unwanted noise in the TA-fEEG signal using a first machine learning model. The method also includes reconstructing the fetal electroencephalography (fEEG) signal from the TA-fEEG signal using a second machine learning model.
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