Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g2/E01630.hea (721 bytes) 
E01630 12 500 5000
E01630.mat 16x1+24 1000.0(0)/mV 16 0 546 -29006 0 I
E01630.mat 16x1+24 1000.0(0)/mV 16 0 400 -26674 0 II
E01630.mat 16x1+24 1000.0(0)/mV 16 0 -146 2600 0 III
E01630.mat 16x1+24 1000.0(0)/mV 16 0 -473 27775 0 aVR
E01630.mat 16x1+24 1000.0(0)/mV 16 0 346 16779 0 aVL
E01630.mat 16x1+24 1000.0(0)/mV 16 0 126 20647 0 aVF
E01630.mat 16x1+24 1000.0(0)/mV 16 0 -380 -5600 0 V1
E01630.mat 16x1+24 1000.0(0)/mV 16 0 -458 -25204 0 V2
E01630.mat 16x1+24 1000.0(0)/mV 16 0 -244 30094 0 V3
E01630.mat 16x1+24 1000.0(0)/mV 16 0 -244 7524 0 V4
E01630.mat 16x1+24 1000.0(0)/mV 16 0 -146 868 0 V5
E01630.mat 16x1+24 1000.0(0)/mV 16 0 117 -15227 0 V6
# Age: 70
# Sex: Female
# Dx: 251146004
# Rx: Unknown
# Hx: Unknown