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

File: <base>/training/georgia/g4/E03293.hea (715 bytes) 
E03293 12 500 5000
E03293.mat 16x1+24 1000.0(0)/mV 16 0 -78 -10671 0 I
E03293.mat 16x1+24 1000.0(0)/mV 16 0 214 28382 0 II
E03293.mat 16x1+24 1000.0(0)/mV 16 0 292 -25927 0 III
E03293.mat 16x1+24 1000.0(0)/mV 16 0 -68 23792 0 aVR
E03293.mat 16x1+24 1000.0(0)/mV 16 0 -185 7703 0 aVL
E03293.mat 16x1+24 1000.0(0)/mV 16 0 253 -31454 0 aVF
E03293.mat 16x1+24 1000.0(0)/mV 16 0 97 -26551 0 V1
E03293.mat 16x1+24 1000.0(0)/mV 16 0 165 12601 0 V2
E03293.mat 16x1+24 1000.0(0)/mV 16 0 419 -21827 0 V3
E03293.mat 16x1+24 1000.0(0)/mV 16 0 29 29175 0 V4
E03293.mat 16x1+24 1000.0(0)/mV 16 0 126 -23960 0 V5
E03293.mat 16x1+24 1000.0(0)/mV 16 0 244 2898 0 V6
# Age: 54
# Sex: Male
# Dx: 428417006
# Rx: Unknown
# Hx: Unknown