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

File: <base>/training/georgia/g9/E08753.hea (709 bytes) 
E08753 12 500 5000
E08753.mat 16x1+24 1000.0(0)/mV 16 0 -87 -23590 0 I
E08753.mat 16x1+24 1000.0(0)/mV 16 0 -9 -1710 0 II
E08753.mat 16x1+24 1000.0(0)/mV 16 0 78 21379 0 III
E08753.mat 16x1+24 1000.0(0)/mV 16 0 48 12444 0 aVR
E08753.mat 16x1+24 1000.0(0)/mV 16 0 -82 -22510 0 aVL
E08753.mat 16x1+24 1000.0(0)/mV 16 0 34 9270 0 aVF
E08753.mat 16x1+24 1000.0(0)/mV 16 0 19 -9164 0 V1
E08753.mat 16x1+24 1000.0(0)/mV 16 0 0 24628 0 V2
E08753.mat 16x1+24 1000.0(0)/mV 16 0 0 -29030 0 V3
E08753.mat 16x1+24 1000.0(0)/mV 16 0 -9 -32079 0 V4
E08753.mat 16x1+24 1000.0(0)/mV 16 0 -29 -22472 0 V5
E08753.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30869 0 V6
# Age: 73
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown