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

File: <base>/training/georgia/g10/E09808.hea (708 bytes) 
E09808 12 500 5000
E09808.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29829 0 I
E09808.mat 16x1+24 1000.0(0)/mV 16 0 -29 12040 0 II
E09808.mat 16x1+24 1000.0(0)/mV 16 0 48 -23696 0 III
E09808.mat 16x1+24 1000.0(0)/mV 16 0 53 8870 0 aVR
E09808.mat 16x1+24 1000.0(0)/mV 16 0 -63 29864 0 aVL
E09808.mat 16x1+24 1000.0(0)/mV 16 0 9 26858 0 aVF
E09808.mat 16x1+24 1000.0(0)/mV 16 0 151 23466 0 V1
E09808.mat 16x1+24 1000.0(0)/mV 16 0 146 13241 0 V2
E09808.mat 16x1+24 1000.0(0)/mV 16 0 117 -29836 0 V3
E09808.mat 16x1+24 1000.0(0)/mV 16 0 39 22422 0 V4
E09808.mat 16x1+24 1000.0(0)/mV 16 0 9 28585 0 V5
E09808.mat 16x1+24 1000.0(0)/mV 16 0 0 -27639 0 V6
# Age: 44
# Sex: Female
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown