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

File: <base>/training/georgia/g5/E04834.hea (709 bytes) 
E04834 12 500 5000
E04834.mat 16x1+24 1000.0(0)/mV 16 0 -78 -31927 0 I
E04834.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28012 0 II
E04834.mat 16x1+24 1000.0(0)/mV 16 0 48 3089 0 III
E04834.mat 16x1+24 1000.0(0)/mV 16 0 53 29791 0 aVR
E04834.mat 16x1+24 1000.0(0)/mV 16 0 -63 -17664 0 aVL
E04834.mat 16x1+24 1000.0(0)/mV 16 0 9 -12365 0 aVF
E04834.mat 16x1+24 1000.0(0)/mV 16 0 29 -14352 0 V1
E04834.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8006 0 V2
E04834.mat 16x1+24 1000.0(0)/mV 16 0 9 -14428 0 V3
E04834.mat 16x1+24 1000.0(0)/mV 16 0 0 -18109 0 V4
E04834.mat 16x1+24 1000.0(0)/mV 16 0 -9 31486 0 V5
E04834.mat 16x1+24 1000.0(0)/mV 16 0 19 -18829 0 V6
# Age: 66
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown