Machine learning algorithm using publicly available echo database for simplified “visual estimation” of left ventricular ejection fraction

Table 1 EchoNet-dynamic database contents

Category	Content in Category
Video file name	File name linked to annotations, labels and videos
Subject age	Scanning subjects age reported in years
Subject gender	Scanning subject gender
Ejection fraction	EF calculated through a ratio of ESV and EDV
End systolic volume	ESV calculated using a method of discs during the echocardiogram
End diastolic volume	EDV calculated using a method of discs during the echocardiogram
Height of video frame	Individual frame height for the echo videos
Width of video frame	Individual frame width for the echo videos
Frames per second	FPS rate for the echo video
Number of frames	Number of frames in the entire echo video
Split from benchmark	Split of videos into train/validate and test datasets from original work

ESV: End systolic volume; EDV: End diastolic volume; EF: Ejection fraction of the left ventricle; FPS: Frames per second.