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

File: <base>/training/georgia/g10/E09398.hea (741 bytes) 
E09398 12 500 5000
E09398.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12151 0 I
E09398.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25738 0 II
E09398.mat 16x1+24 1000.0(0)/mV 16 0 0 -13030 0 III
E09398.mat 16x1+24 1000.0(0)/mV 16 0 29 18685 0 aVR
E09398.mat 16x1+24 1000.0(0)/mV 16 0 -14 438 0 aVL
E09398.mat 16x1+24 1000.0(0)/mV 16 0 -14 -19449 0 aVF
E09398.mat 16x1+24 1000.0(0)/mV 16 0 48 -25552 0 V1
E09398.mat 16x1+24 1000.0(0)/mV 16 0 68 -24489 0 V2
E09398.mat 16x1+24 1000.0(0)/mV 16 0 58 -25073 0 V3
E09398.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4443 0 V4
E09398.mat 16x1+24 1000.0(0)/mV 16 0 -29 -4884 0 V5
E09398.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9537 0 V6
# Age: 86
# Sex: Male
# Dx: 111975006,164930006,270492004,164934002
# Rx: Unknown
# Hx: Unknown