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

File: <base>/training/georgia/g10/E09589.hea (731 bytes) 
E09589 12 500 5000
E09589.mat 16x1+24 1000.0(0)/mV 16 0 -78 -581 0 I
E09589.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10401 0 II
E09589.mat 16x1+24 1000.0(0)/mV 16 0 19 -9993 0 III
E09589.mat 16x1+24 1000.0(0)/mV 16 0 68 5422 0 aVR
E09589.mat 16x1+24 1000.0(0)/mV 16 0 -48 4722 0 aVL
E09589.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9957 0 aVF
E09589.mat 16x1+24 1000.0(0)/mV 16 0 117 4271 0 V1
E09589.mat 16x1+24 1000.0(0)/mV 16 0 87 -18411 0 V2
E09589.mat 16x1+24 1000.0(0)/mV 16 0 -126 -13316 0 V3
E09589.mat 16x1+24 1000.0(0)/mV 16 0 -78 -13289 0 V4
E09589.mat 16x1+24 1000.0(0)/mV 16 0 -97 -2756 0 V5
E09589.mat 16x1+24 1000.0(0)/mV 16 0 -48 6085 0 V6
# Age: 65
# Sex: Female
# Dx: 426434006,425623009,164934002
# Rx: Unknown
# Hx: Unknown