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

File: <base>/training/georgia/g9/E08182.hea (740 bytes) 
E08182 12 500 5000
E08182.mat 16x1+24 1000.0(0)/mV 16 0 -78 6664 0 I
E08182.mat 16x1+24 1000.0(0)/mV 16 0 87 5306 0 II
E08182.mat 16x1+24 1000.0(0)/mV 16 0 165 -1716 0 III
E08182.mat 16x1+24 1000.0(0)/mV 16 0 -4 26600 0 aVR
E08182.mat 16x1+24 1000.0(0)/mV 16 0 -122 4326 0 aVL
E08182.mat 16x1+24 1000.0(0)/mV 16 0 126 -31287 0 aVF
E08182.mat 16x1+24 1000.0(0)/mV 16 0 9 19393 0 V1
E08182.mat 16x1+24 1000.0(0)/mV 16 0 19 17320 0 V2
E08182.mat 16x1+24 1000.0(0)/mV 16 0 126 -23513 0 V3
E08182.mat 16x1+24 1000.0(0)/mV 16 0 -39 -5505 0 V4
E08182.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29559 0 V5
E08182.mat 16x1+24 1000.0(0)/mV 16 0 -19 12951 0 V6
# Age: 80
# Sex: Female
# Dx: 164873001,164889003,425623009,164934002
# Rx: Unknown
# Hx: Unknown