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

File: <base>/training/georgia/g2/E01761.hea (764 bytes) 
E01761 12 500 5000
E01761.mat 16x1+24 1000.0(0)/mV 16 0 -58 -19898 0 I
E01761.mat 16x1+24 1000.0(0)/mV 16 0 -29 13642 0 II
E01761.mat 16x1+24 1000.0(0)/mV 16 0 29 -32057 0 III
E01761.mat 16x1+24 1000.0(0)/mV 16 0 43 2802 0 aVR
E01761.mat 16x1+24 1000.0(0)/mV 16 0 -43 -26390 0 aVL
E01761.mat 16x1+24 1000.0(0)/mV 16 0 0 23344 0 aVF
E01761.mat 16x1+24 1000.0(0)/mV 16 0 87 18097 0 V1
E01761.mat 16x1+24 1000.0(0)/mV 16 0 165 -16215 0 V2
E01761.mat 16x1+24 1000.0(0)/mV 16 0 117 4016 0 V3
E01761.mat 16x1+24 1000.0(0)/mV 16 0 58 12741 0 V4
E01761.mat 16x1+24 1000.0(0)/mV 16 0 29 8308 0 V5
E01761.mat 16x1+24 1000.0(0)/mV 16 0 0 -457 0 V6
# Age: 71
# Sex: Female
# Dx: 698252002,270492004,39732003,427393009,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown