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

File: <base>/training/georgia/g10/E09804.hea (710 bytes) 
E09804 12 500 5000
E09804.mat 16x1+24 1000.0(0)/mV 16 0 117 -30199 0 I
E09804.mat 16x1+24 1000.0(0)/mV 16 0 126 -1274 0 II
E09804.mat 16x1+24 1000.0(0)/mV 16 0 9 29272 0 III
E09804.mat 16x1+24 1000.0(0)/mV 16 0 -122 -16955 0 aVR
E09804.mat 16x1+24 1000.0(0)/mV 16 0 53 2676 0 aVL
E09804.mat 16x1+24 1000.0(0)/mV 16 0 68 14018 0 aVF
E09804.mat 16x1+24 1000.0(0)/mV 16 0 -97 20669 0 V1
E09804.mat 16x1+24 1000.0(0)/mV 16 0 19 -27928 0 V2
E09804.mat 16x1+24 1000.0(0)/mV 16 0 185 11038 0 V3
E09804.mat 16x1+24 1000.0(0)/mV 16 0 214 -7925 0 V4
E09804.mat 16x1+24 1000.0(0)/mV 16 0 126 8604 0 V5
E09804.mat 16x1+24 1000.0(0)/mV 16 0 87 -5754 0 V6
# Age: 49
# Sex: Female
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown