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

File: <base>/training/georgia/g5/E04799.hea (728 bytes) 
E04799 12 500 5000
E04799.mat 16x1+24 1000.0(0)/mV 16 0 -9 29130 0 I
E04799.mat 16x1+24 1000.0(0)/mV 16 0 39 -19876 0 II
E04799.mat 16x1+24 1000.0(0)/mV 16 0 48 15959 0 III
E04799.mat 16x1+24 1000.0(0)/mV 16 0 -14 27769 0 aVR
E04799.mat 16x1+24 1000.0(0)/mV 16 0 -29 -26320 0 aVL
E04799.mat 16x1+24 1000.0(0)/mV 16 0 43 -2713 0 aVF
E04799.mat 16x1+24 1000.0(0)/mV 16 0 48 -23320 0 V1
E04799.mat 16x1+24 1000.0(0)/mV 16 0 58 -14555 0 V2
E04799.mat 16x1+24 1000.0(0)/mV 16 0 58 30327 0 V3
E04799.mat 16x1+24 1000.0(0)/mV 16 0 48 -13887 0 V4
E04799.mat 16x1+24 1000.0(0)/mV 16 0 39 -23640 0 V5
E04799.mat 16x1+24 1000.0(0)/mV 16 0 39 -17152 0 V6
# Age: 75
# Sex: Male
# Dx: 164889003,39732003,425623009
# Rx: Unknown
# Hx: Unknown