Patent №
US 10,542,961
Granted
2020-01-28
Filed 2016
Owner
THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK
Lab
—
AI components
2
ml · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15182087
Cardiac Output (CO) has traditionally been difficult, dangerous, and expensive to obtain. Surrogate measures such as pulse rate and blood pressure have therefore been used to permit an estimate of CO. MEMS technology, evolutionary computation, and time-frequency signal analysis techniques provide a technology to non-invasively estimate CO, based on precordial (chest wall) motions. The technology detects a ventricular contraction time point, and stroke volume, from chest wall motion measurements. As CO is the product of heart rate and stroke volume, these algorithms permit continuous, beat to beat CO assessment. Nontraditional Wavelet analysis can be used to extract features from chest acceleration. A learning tool is preferable to define the packets which best correlate to contraction time and stroke volume.
AI classification
Ownership
THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK
assignment · 395410699
Assignors
BARSIMANTOV, OLAD, MCLEOD, KENNETH, SCHAFFER, J. DAVID
On an employer assignment, the assignors are typically the inventors.