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

File: <base>/training/georgia/g8/E07892.hea (719 bytes) 
E07892 12 500 5000
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -185 -20083 0 I
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -146 -9661 0 II
E07892.mat 16x1+24 1000.0(0)/mV 16 0 39 11048 0 III
E07892.mat 16x1+24 1000.0(0)/mV 16 0 165 14898 0 aVR
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -112 -15208 0 aVL
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -53 758 0 aVF
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -165 -18993 0 V1
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -927 -26348 0 V2
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -204 12578 0 V3
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -204 16539 0 V4
E07892.mat 16x1+24 1000.0(0)/mV 16 0 -48 24420 0 V5
E07892.mat 16x1+24 1000.0(0)/mV 16 0 9 -17622 0 V6
# Age: 54
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown