EFFICIENT FETAL-MATERNAL ECG SIGNAL SEPARATION FROM TWO MATERNAL ABDOMINAL LEADS VIA DIFFUSION-BASED CHANNEL SELECTION

Patent №

US 11,622,710

Granted

2023-04-11

Filed 2019

Owner

UNIVERSITY OF WASHINGTON

+1 more

AI components

2

vision · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16490320

In some embodiments, techniques capable of obtaining high-quality fetal ECG (fECG) information using as few as two composite (maternal and fetal) maternal abdominal ECG (aECG) signals to derive the fetal ECG information are provided. In some embodiments, maternal ECG information and fetal ECG information are both obtained from the aECG signals, and are either presented or stored. The techniques may use novel proposed diffusion-based channel selection criteria. To validate the proposed techniques, analysis results of two publicly available databases are described, and compared with other available techniques in the literature.

VisionPlanningA61B 5/344A61B 5/7278A61B 5/271A61B 5/327A61B 5/339A61B 5/352A61B 5/7257A61B 2560/02

AI classification

Planning0.97
Vision0.74
AI hardware0.17
Natural language0.12
Knowledge representation0.05
Machine learning0.02
Evolutionary computation0.01
Speech0.00

Ownership

UNIVERSITY OF WASHINGTON

assignment · 617240090

THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO

assignment · 617250532

Assignors

WU, HAU-TIENG

On an employer assignment, the assignors are typically the inventors.

From the same owner

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