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

File: <base>/training/georgia/g6/E05735.hea (747 bytes) 
E05735 12 500 5000
E05735.mat 16x1+24 1000.0(0)/mV 16 0 29 -11091 0 I
E05735.mat 16x1+24 1000.0(0)/mV 16 0 58 25132 0 II
E05735.mat 16x1+24 1000.0(0)/mV 16 0 29 -28891 0 III
E05735.mat 16x1+24 1000.0(0)/mV 16 0 -43 25879 0 aVR
E05735.mat 16x1+24 1000.0(0)/mV 16 0 0 9366 0 aVL
E05735.mat 16x1+24 1000.0(0)/mV 16 0 43 30668 0 aVF
E05735.mat 16x1+24 1000.0(0)/mV 16 0 204 -13105 0 V1
E05735.mat 16x1+24 1000.0(0)/mV 16 0 400 -3156 0 V2
E05735.mat 16x1+24 1000.0(0)/mV 16 0 9 -2425 0 V3
E05735.mat 16x1+24 1000.0(0)/mV 16 0 29 -14794 0 V4
E05735.mat 16x1+24 1000.0(0)/mV 16 0 39 19382 0 V5
E05735.mat 16x1+24 1000.0(0)/mV 16 0 29 -20989 0 V6
# Age: 60
# Sex: Female
# Dx: 111975006,164930006,425419005,164934002,164917005
# Rx: Unknown
# Hx: Unknown