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

File: <base>/training/georgia/g4/E03795.hea (709 bytes) 
E03795 12 500 5000
E03795.mat 16x1+24 1000.0(0)/mV 16 0 9 -28013 0 I
E03795.mat 16x1+24 1000.0(0)/mV 16 0 0 -13030 0 II
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -9 14163 0 III
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -4 -12237 0 aVR
E03795.mat 16x1+24 1000.0(0)/mV 16 0 9 11446 0 aVL
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -4 867 0 aVF
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9857 0 V1
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -39 -4337 0 V2
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -175 2790 0 V3
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -87 -12424 0 V4
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -126 24562 0 V5
E03795.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11737 0 V6
# Age: 81
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown