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

File: <base>/training/georgia/g5/E04065.hea (738 bytes) 
E04065 12 500 5000
E04065.mat 16x1+24 1000.0(0)/mV 16 0 -102 -481 0 I
E04065.mat 16x1+24 1000.0(0)/mV 16 0 -87 -17053 0 II
E04065.mat 16x1+24 1000.0(0)/mV 16 0 14 -16250 0 III
E04065.mat 16x1+24 1000.0(0)/mV 16 0 95 -24048 0 aVR
E04065.mat 16x1+24 1000.0(0)/mV 16 0 -58 8333 0 aVL
E04065.mat 16x1+24 1000.0(0)/mV 16 0 -36 16302 0 aVF
E04065.mat 16x1+24 1000.0(0)/mV 16 0 19 12842 0 V1
E04065.mat 16x1+24 1000.0(0)/mV 16 0 73 -30438 0 V2
E04065.mat 16x1+24 1000.0(0)/mV 16 0 -82 13210 0 V3
E04065.mat 16x1+24 1000.0(0)/mV 16 0 -200 -22682 0 V4
E04065.mat 16x1+24 1000.0(0)/mV 16 0 -170 -27630 0 V5
E04065.mat 16x1+24 1000.0(0)/mV 16 0 -102 -17621 0 V6
# Age: 53
# Sex: Female
# Dx: 426664006,428750005,59931005
# Rx: Unknown
# Hx: Unknown