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

File: <base>/training/georgia/g2/E01473.hea (760 bytes) 
E01473 12 500 5000
E01473.mat 16x1+24 1000.0(0)/mV 16 0 -126 -21642 0 I
E01473.mat 16x1+24 1000.0(0)/mV 16 0 -48 32671 0 II
E01473.mat 16x1+24 1000.0(0)/mV 16 0 78 -11735 0 III
E01473.mat 16x1+24 1000.0(0)/mV 16 0 87 27267 0 aVR
E01473.mat 16x1+24 1000.0(0)/mV 16 0 -102 -4816 0 aVL
E01473.mat 16x1+24 1000.0(0)/mV 16 0 14 -22055 0 aVF
E01473.mat 16x1+24 1000.0(0)/mV 16 0 68 4390 0 V1
E01473.mat 16x1+24 1000.0(0)/mV 16 0 68 -541 0 V2
E01473.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11670 0 V3
E01473.mat 16x1+24 1000.0(0)/mV 16 0 -117 11651 0 V4
E01473.mat 16x1+24 1000.0(0)/mV 16 0 -78 -2429 0 V5
E01473.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10153 0 V6
# Age: 79
# Sex: Male
# Dx: 17338001,17338001,427084000,164873001,284470004,284470004
# Rx: Unknown
# Hx: Unknown