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

File: <base>/training/georgia/g7/E06908.hea (720 bytes) 
E06908 12 500 5000
E06908.mat 16x1+24 1000.0(0)/mV 16 0 209 -3619 0 I
E06908.mat 16x1+24 1000.0(0)/mV 16 0 97 -3954 0 II
E06908.mat 16x1+24 1000.0(0)/mV 16 0 -112 -1015 0 III
E06908.mat 16x1+24 1000.0(0)/mV 16 0 -153 3691 0 aVR
E06908.mat 16x1+24 1000.0(0)/mV 16 0 161 -1228 0 aVL
E06908.mat 16x1+24 1000.0(0)/mV 16 0 -7 -2745 0 aVF
E06908.mat 16x1+24 1000.0(0)/mV 16 0 126 -29644 0 V1
E06908.mat 16x1+24 1000.0(0)/mV 16 0 444 3175 0 V2
E06908.mat 16x1+24 1000.0(0)/mV 16 0 263 7644 0 V3
E06908.mat 16x1+24 1000.0(0)/mV 16 0 195 1775 0 V4
E06908.mat 16x1+24 1000.0(0)/mV 16 0 117 -10983 0 V5
E06908.mat 16x1+24 1000.0(0)/mV 16 0 48 -6094 0 V6
# Age: 37
# Sex: Female
# Dx: 164873001,59931005
# Rx: Unknown
# Hx: Unknown