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

File: <base>/training/georgia/g1/E00779.hea (705 bytes) 
E00779 12 500 5000
E00779.mat 16x1+24 1000.0(0)/mV 16 0 -53 340 0 I
E00779.mat 16x1+24 1000.0(0)/mV 16 0 0 17541 0 II
E00779.mat 16x1+24 1000.0(0)/mV 16 0 53 18432 0 III
E00779.mat 16x1+24 1000.0(0)/mV 16 0 26 -8765 0 aVR
E00779.mat 16x1+24 1000.0(0)/mV 16 0 -53 -9637 0 aVL
E00779.mat 16x1+24 1000.0(0)/mV 16 0 26 18052 0 aVF
E00779.mat 16x1+24 1000.0(0)/mV 16 0 39 -16576 0 V1
E00779.mat 16x1+24 1000.0(0)/mV 16 0 -34 -29447 0 V2
E00779.mat 16x1+24 1000.0(0)/mV 16 0 53 -10062 0 V3
E00779.mat 16x1+24 1000.0(0)/mV 16 0 -24 -1217 0 V4
E00779.mat 16x1+24 1000.0(0)/mV 16 0 -39 25621 0 V5
E00779.mat 16x1+24 1000.0(0)/mV 16 0 -78 7182 0 V6
# Age: 45
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown