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

File: <base>/training/georgia/g7/E06562.hea (730 bytes)
E06562 12 500 5000
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -9 -118 0 I
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -370 -7788 0 II
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -361 -7960 0 III
E06562.mat 16x1+24 1000.0(0)/mV 16 0 190 3683 0 aVR
E06562.mat 16x1+24 1000.0(0)/mV 16 0 175 -28641 0 aVL
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -366 24878 0 aVF
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -253 25690 0 V1
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -283 -20330 0 V2
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -322 -3102 0 V3
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -322 2688 0 V4
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -351 4015 0 V5
E06562.mat 16x1+24 1000.0(0)/mV 16 0 -283 -15489 0 V6
# Age: 84
# Sex: Female
# Dx: 17338001,164934002
# Rx: Unknown
# Hx: Unknown