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

File: <base>/training/georgia/g4/E03452.hea (708 bytes) 
E03452 12 500 5000
E03452.mat 16x1+24 1000.0(0)/mV 16 0 9 -12634 0 I
E03452.mat 16x1+24 1000.0(0)/mV 16 0 9 29564 0 II
E03452.mat 16x1+24 1000.0(0)/mV 16 0 0 -23579 0 III
E03452.mat 16x1+24 1000.0(0)/mV 16 0 -9 24496 0 aVR
E03452.mat 16x1+24 1000.0(0)/mV 16 0 4 5616 0 aVL
E03452.mat 16x1+24 1000.0(0)/mV 16 0 4 -29266 0 aVF
E03452.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1879 0 V1
E03452.mat 16x1+24 1000.0(0)/mV 16 0 48 3908 0 V2
E03452.mat 16x1+24 1000.0(0)/mV 16 0 19 -5161 0 V3
E03452.mat 16x1+24 1000.0(0)/mV 16 0 0 -285 0 V4
E03452.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11137 0 V5
E03452.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3558 0 V6
# Age: 57
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown