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

File: <base>/training/georgia/g10/E09343.hea (753 bytes) 
E09343 12 500 5000
E09343.mat 16x1+24 1000.0(0)/mV 16 0 -102 1881 0 I
E09343.mat 16x1+24 1000.0(0)/mV 16 0 -4 4254 0 II
E09343.mat 16x1+24 1000.0(0)/mV 16 0 97 2640 0 III
E09343.mat 16x1+24 1000.0(0)/mV 16 0 53 -3173 0 aVR
E09343.mat 16x1+24 1000.0(0)/mV 16 0 -100 -243 0 aVL
E09343.mat 16x1+24 1000.0(0)/mV 16 0 46 3408 0 aVF
E09343.mat 16x1+24 1000.0(0)/mV 16 0 122 9048 0 V1
E09343.mat 16x1+24 1000.0(0)/mV 16 0 292 -9638 0 V2
E09343.mat 16x1+24 1000.0(0)/mV 16 0 483 9520 0 V3
E09343.mat 16x1+24 1000.0(0)/mV 16 0 248 13058 0 V4
E09343.mat 16x1+24 1000.0(0)/mV 16 0 -170 19469 0 V5
E09343.mat 16x1+24 1000.0(0)/mV 16 0 -287 7250 0 V6
# Age: 58
# Sex: Male
# Dx: 251120003,164889003,39732003,425623009,164934002,111975006
# Rx: Unknown
# Hx: Unknown