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

File: <base>/training/georgia/g7/E06993.hea (723 bytes) 
E06993 12 500 5000
E06993.mat 16x1+24 1000.0(0)/mV 16 0 117 -13625 0 I
E06993.mat 16x1+24 1000.0(0)/mV 16 0 39 -29861 0 II
E06993.mat 16x1+24 1000.0(0)/mV 16 0 -78 -16589 0 III
E06993.mat 16x1+24 1000.0(0)/mV 16 0 -78 21626 0 aVR
E06993.mat 16x1+24 1000.0(0)/mV 16 0 97 1477 0 aVL
E06993.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23175 0 aVF
E06993.mat 16x1+24 1000.0(0)/mV 16 0 -126 -15221 0 V1
E06993.mat 16x1+24 1000.0(0)/mV 16 0 -78 -15640 0 V2
E06993.mat 16x1+24 1000.0(0)/mV 16 0 -165 -26567 0 V3
E06993.mat 16x1+24 1000.0(0)/mV 16 0 78 -17228 0 V4
E06993.mat 16x1+24 1000.0(0)/mV 16 0 78 8091 0 V5
E06993.mat 16x1+24 1000.0(0)/mV 16 0 78 7397 0 V6
# Age: 76
# Sex: Male
# Dx: 59118001,270492004
# Rx: Unknown
# Hx: Unknown