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

File: <base>/training/georgia/g5/E04084.hea (714 bytes) 
E04084 12 500 5000
E04084.mat 16x1+24 1000.0(0)/mV 16 0 68 27929 0 I
E04084.mat 16x1+24 1000.0(0)/mV 16 0 136 -20491 0 II
E04084.mat 16x1+24 1000.0(0)/mV 16 0 68 16512 0 III
E04084.mat 16x1+24 1000.0(0)/mV 16 0 -102 28961 0 aVR
E04084.mat 16x1+24 1000.0(0)/mV 16 0 0 -27127 0 aVL
E04084.mat 16x1+24 1000.0(0)/mV 16 0 102 -1874 0 aVF
E04084.mat 16x1+24 1000.0(0)/mV 16 0 -107 -20072 0 V1
E04084.mat 16x1+24 1000.0(0)/mV 16 0 117 21262 0 V2
E04084.mat 16x1+24 1000.0(0)/mV 16 0 488 28976 0 V3
E04084.mat 16x1+24 1000.0(0)/mV 16 0 273 23896 0 V4
E04084.mat 16x1+24 1000.0(0)/mV 16 0 156 5957 0 V5
E04084.mat 16x1+24 1000.0(0)/mV 16 0 224 13580 0 V6
# Age: 66
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown