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

File: <base>/training/georgia/g2/E01274.hea (717 bytes) 
E01274 12 500 5000
E01274.mat 16x1+24 1000.0(0)/mV 16 0 -48 8170 0 I
E01274.mat 16x1+24 1000.0(0)/mV 16 0 -117 17281 0 II
E01274.mat 16x1+24 1000.0(0)/mV 16 0 -68 9326 0 III
E01274.mat 16x1+24 1000.0(0)/mV 16 0 82 -12793 0 aVR
E01274.mat 16x1+24 1000.0(0)/mV 16 0 9 -455 0 aVL
E01274.mat 16x1+24 1000.0(0)/mV 16 0 -92 13478 0 aVF
E01274.mat 16x1+24 1000.0(0)/mV 16 0 78 -3124 0 V1
E01274.mat 16x1+24 1000.0(0)/mV 16 0 136 28980 0 V2
E01274.mat 16x1+24 1000.0(0)/mV 16 0 29 10501 0 V3
E01274.mat 16x1+24 1000.0(0)/mV 16 0 -58 -5511 0 V4
E01274.mat 16x1+24 1000.0(0)/mV 16 0 -97 -9754 0 V5
E01274.mat 16x1+24 1000.0(0)/mV 16 0 -107 32182 0 V6
# Age: 40
# Sex: Male
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown