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

File: <base>/training/georgia/g9/E08868.hea (712 bytes) 
E08868 12 500 5000
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19162 0 I
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19015 0 II
E08868.mat 16x1+24 1000.0(0)/mV 16 0 9 114 0 III
E08868.mat 16x1+24 1000.0(0)/mV 16 0 24 19062 0 aVR
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9351 0 aVL
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -4 -9172 0 aVF
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1479 0 V1
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23615 0 V2
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20986 0 V3
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13282 0 V4
E08868.mat 16x1+24 1000.0(0)/mV 16 0 68 -343 0 V5
E08868.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22679 0 V6
# Age: 62
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown