Other

Ge Precision Healthcare LLC

John Michael Jordan

Rohit Pardasani

Siddharth Ajith

Renee L Vitullo

Techniques are described for performing fetal heart rate (FHR) analytics using machine learning techniques. According to an embodiment, computer-implemented method comprises training a machine learning model using a supervised machine learning process to identify patterns in training cardiotocograph data that correspond to defined physiological events associated with respective fetuses and mothers of the fetuses represented in the training cardiotocograph data. The method further comprises receiving new cardiotocograph data for a fetus and mother in real-time over a period of labor and applying the machine learning model to the new cardiotocograph data as it is received to identify the patterns in the new cardiotocograph data.

Deep learning based fetal heart rate analytics

This invention relates to a portable apparatus designed to facilitate the task of locating and drilling of the holes specified on shop drawings for metal plates, structural shapes and non-round tubes. It can be equipped with one or more powered drilling tools. Equipped with two such tools, the apparatus will weigh less than 60 pounds. It can drill one hole at a time or two holes simultaneously; and it is not limited by the length, width, or weight of the workpiece.

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Severna Park, MD, United States of America

John Michael Jordan