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

File: <base>/training/georgia/g7/E06904.hea (704 bytes) 
E06904 12 500 5000
E06904.mat 16x1+24 1000.0(0)/mV 16 0 -53 -5152 0 I
E06904.mat 16x1+24 1000.0(0)/mV 16 0 -24 -5235 0 II
E06904.mat 16x1+24 1000.0(0)/mV 16 0 29 -192 0 III
E06904.mat 16x1+24 1000.0(0)/mV 16 0 39 5174 0 aVR
E06904.mat 16x1+24 1000.0(0)/mV 16 0 -41 -2187 0 aVL
E06904.mat 16x1+24 1000.0(0)/mV 16 0 2 -2297 0 aVF
E06904.mat 16x1+24 1000.0(0)/mV 16 0 39 -23685 0 V1
E06904.mat 16x1+24 1000.0(0)/mV 16 0 -14 9572 0 V2
E06904.mat 16x1+24 1000.0(0)/mV 16 0 4 -6771 0 V3
E06904.mat 16x1+24 1000.0(0)/mV 16 0 -24 6262 0 V4
E06904.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8639 0 V5
E06904.mat 16x1+24 1000.0(0)/mV 16 0 -39 -5764 0 V6
# Age: 46
# Sex: Female
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown