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

File: <base>/training/georgia/g9/E08414.hea (721 bytes) 
E08414 12 500 5000
E08414.mat 16x1+24 1000.0(0)/mV 16 0 -48 -20856 0 I
E08414.mat 16x1+24 1000.0(0)/mV 16 0 19 -27111 0 II
E08414.mat 16x1+24 1000.0(0)/mV 16 0 68 -6169 0 III
E08414.mat 16x1+24 1000.0(0)/mV 16 0 14 23977 0 aVR
E08414.mat 16x1+24 1000.0(0)/mV 16 0 -58 -6819 0 aVL
E08414.mat 16x1+24 1000.0(0)/mV 16 0 43 -16766 0 aVF
E08414.mat 16x1+24 1000.0(0)/mV 16 0 -9 11811 0 V1
E08414.mat 16x1+24 1000.0(0)/mV 16 0 -78 25780 0 V2
E08414.mat 16x1+24 1000.0(0)/mV 16 0 -58 -3527 0 V3
E08414.mat 16x1+24 1000.0(0)/mV 16 0 -224 -551 0 V4
E08414.mat 16x1+24 1000.0(0)/mV 16 0 -87 13035 0 V5
E08414.mat 16x1+24 1000.0(0)/mV 16 0 -87 -874 0 V6
# Age: 60
# Sex: Female
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown