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

File: <base>/training/georgia/g4/E03439.hea (707 bytes) 
E03439 12 500 5000
E03439.mat 16x1+24 1000.0(0)/mV 16 0 4 -26644 0 I
E03439.mat 16x1+24 1000.0(0)/mV 16 0 -68 5088 0 II
E03439.mat 16x1+24 1000.0(0)/mV 16 0 -73 32520 0 III
E03439.mat 16x1+24 1000.0(0)/mV 16 0 31 -21872 0 aVR
E03439.mat 16x1+24 1000.0(0)/mV 16 0 39 3172 0 aVL
E03439.mat 16x1+24 1000.0(0)/mV 16 0 -70 18851 0 aVF
E03439.mat 16x1+24 1000.0(0)/mV 16 0 -53 30540 0 V1
E03439.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14715 0 V2
E03439.mat 16x1+24 1000.0(0)/mV 16 0 68 32224 0 V3
E03439.mat 16x1+24 1000.0(0)/mV 16 0 -58 -2257 0 V4
E03439.mat 16x1+24 1000.0(0)/mV 16 0 -97 8888 0 V5
E03439.mat 16x1+24 1000.0(0)/mV 16 0 -58 -31770 0 V6
# Age: 73
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown