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

File: <base>/training/georgia/g2/E01314.hea (702 bytes) 
E01314 12 500 5000
E01314.mat 16x1+24 1000.0(0)/mV 16 0 -9 1862 0 I
E01314.mat 16x1+24 1000.0(0)/mV 16 0 0 -14289 0 II
E01314.mat 16x1+24 1000.0(0)/mV 16 0 9 -15659 0 III
E01314.mat 16x1+24 1000.0(0)/mV 16 0 4 6014 0 aVR
E01314.mat 16x1+24 1000.0(0)/mV 16 0 -9 9152 0 aVL
E01314.mat 16x1+24 1000.0(0)/mV 16 0 4 -14947 0 aVF
E01314.mat 16x1+24 1000.0(0)/mV 16 0 29 -23261 0 V1
E01314.mat 16x1+24 1000.0(0)/mV 16 0 39 -7838 0 V2
E01314.mat 16x1+24 1000.0(0)/mV 16 0 -78 6155 0 V3
E01314.mat 16x1+24 1000.0(0)/mV 16 0 -117 13188 0 V4
E01314.mat 16x1+24 1000.0(0)/mV 16 0 -136 12724 0 V5
E01314.mat 16x1+24 1000.0(0)/mV 16 0 -117 6716 0 V6
# Age: 59
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown