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

File: <base>/training/georgia/g2/E01393.hea (727 bytes)
E01393 12 500 5000
E01393.mat 16x1+24 1000.0(0)/mV 16 0 19 -12712 0 I
E01393.mat 16x1+24 1000.0(0)/mV 16 0 -73 -10911 0 II
E01393.mat 16x1+24 1000.0(0)/mV 16 0 -92 2206 0 III
E01393.mat 16x1+24 1000.0(0)/mV 16 0 26 -20597 0 aVR
E01393.mat 16x1+24 1000.0(0)/mV 16 0 56 25469 0 aVL
E01393.mat 16x1+24 1000.0(0)/mV 16 0 -82 -4348 0 aVF
E01393.mat 16x1+24 1000.0(0)/mV 16 0 4 29684 0 V1
E01393.mat 16x1+24 1000.0(0)/mV 16 0 68 -1509 0 V2
E01393.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25467 0 V3
E01393.mat 16x1+24 1000.0(0)/mV 16 0 48 27052 0 V4
E01393.mat 16x1+24 1000.0(0)/mV 16 0 131 24622 0 V5
E01393.mat 16x1+24 1000.0(0)/mV 16 0 19 -19047 0 V6
# Age: 83
# Sex: Male
# Dx: 164889003,59931005,164934002
# Rx: Unknown
# Hx: Unknown