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

File: <base>/training/georgia/g10/E09289.hea (733 bytes) 
E09289 12 500 5000
E09289.mat 16x1+24 1000.0(0)/mV 16 0 58 31317 0 I
E09289.mat 16x1+24 1000.0(0)/mV 16 0 -117 22539 0 II
E09289.mat 16x1+24 1000.0(0)/mV 16 0 -175 -9319 0 III
E09289.mat 16x1+24 1000.0(0)/mV 16 0 29 5905 0 aVR
E09289.mat 16x1+24 1000.0(0)/mV 16 0 117 20227 0 aVL
E09289.mat 16x1+24 1000.0(0)/mV 16 0 -146 -26504 0 aVF
E09289.mat 16x1+24 1000.0(0)/mV 16 0 370 -9221 0 V1
E09289.mat 16x1+24 1000.0(0)/mV 16 0 556 -21145 0 V2
E09289.mat 16x1+24 1000.0(0)/mV 16 0 175 28010 0 V3
E09289.mat 16x1+24 1000.0(0)/mV 16 0 97 -8510 0 V4
E09289.mat 16x1+24 1000.0(0)/mV 16 0 9 20893 0 V5
E09289.mat 16x1+24 1000.0(0)/mV 16 0 -87 18157 0 V6
# Age: 57
# Sex: Female
# Dx: 427084000,164934002,111975006
# Rx: Unknown
# Hx: Unknown