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

File: <base>/training/georgia/g10/E09046.hea (713 bytes) 
E09046 12 500 5000
E09046.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8420 0 I
E09046.mat 16x1+24 1000.0(0)/mV 16 0 19 -12553 0 II
E09046.mat 16x1+24 1000.0(0)/mV 16 0 87 -3708 0 III
E09046.mat 16x1+24 1000.0(0)/mV 16 0 24 10683 0 aVR
E09046.mat 16x1+24 1000.0(0)/mV 16 0 -78 -2178 0 aVL
E09046.mat 16x1+24 1000.0(0)/mV 16 0 53 -8198 0 aVF
E09046.mat 16x1+24 1000.0(0)/mV 16 0 156 16026 0 V1
E09046.mat 16x1+24 1000.0(0)/mV 16 0 273 32416 0 V2
E09046.mat 16x1+24 1000.0(0)/mV 16 0 390 -20216 0 V3
E09046.mat 16x1+24 1000.0(0)/mV 16 0 244 27922 0 V4
E09046.mat 16x1+24 1000.0(0)/mV 16 0 -97 30983 0 V5
E09046.mat 16x1+24 1000.0(0)/mV 16 0 -195 20521 0 V6
# Age: 78
# Sex: Female
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown