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

File: <base>/training/georgia/g10/E09009.hea (707 bytes) 
E09009 12 500 5000
E09009.mat 16x1+24 1000.0(0)/mV 16 0 117 -25470 0 I
E09009.mat 16x1+24 1000.0(0)/mV 16 0 39 -3239 0 II
E09009.mat 16x1+24 1000.0(0)/mV 16 0 -78 22150 0 III
E09009.mat 16x1+24 1000.0(0)/mV 16 0 -78 -18454 0 aVR
E09009.mat 16x1+24 1000.0(0)/mV 16 0 97 9106 0 aVL
E09009.mat 16x1+24 1000.0(0)/mV 16 0 -19 9582 0 aVF
E09009.mat 16x1+24 1000.0(0)/mV 16 0 78 20224 0 V1
E09009.mat 16x1+24 1000.0(0)/mV 16 0 156 8 0 V2
E09009.mat 16x1+24 1000.0(0)/mV 16 0 322 16319 0 V3
E09009.mat 16x1+24 1000.0(0)/mV 16 0 263 -30712 0 V4
E09009.mat 16x1+24 1000.0(0)/mV 16 0 195 7575 0 V5
E09009.mat 16x1+24 1000.0(0)/mV 16 0 185 24954 0 V6
# Age: 73
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown