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

File: <base>/training/georgia/g2/E01352.hea (727 bytes) 
E01352 12 500 5000
E01352.mat 16x1+24 1000.0(0)/mV 16 0 -87 27916 0 I
E01352.mat 16x1+24 1000.0(0)/mV 16 0 19 -12006 0 II
E01352.mat 16x1+24 1000.0(0)/mV 16 0 107 25944 0 III
E01352.mat 16x1+24 1000.0(0)/mV 16 0 34 24748 0 aVR
E01352.mat 16x1+24 1000.0(0)/mV 16 0 -97 -31625 0 aVL
E01352.mat 16x1+24 1000.0(0)/mV 16 0 63 6794 0 aVF
E01352.mat 16x1+24 1000.0(0)/mV 16 0 78 -8108 0 V1
E01352.mat 16x1+24 1000.0(0)/mV 16 0 29 -32408 0 V2
E01352.mat 16x1+24 1000.0(0)/mV 16 0 -87 13828 0 V3
E01352.mat 16x1+24 1000.0(0)/mV 16 0 87 15805 0 V4
E01352.mat 16x1+24 1000.0(0)/mV 16 0 39 16255 0 V5
E01352.mat 16x1+24 1000.0(0)/mV 16 0 58 17512 0 V6
# Age: 34
# Sex: Female
# Dx: 428750005,427084000,59931005
# Rx: Unknown
# Hx: Unknown