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

File: <base>/training/georgia/g10/E09484.hea (728 bytes) 
E09484 12 500 5000
E09484.mat 16x1+24 1000.0(0)/mV 16 0 -48 9316 0 I
E09484.mat 16x1+24 1000.0(0)/mV 16 0 9 24107 0 II
E09484.mat 16x1+24 1000.0(0)/mV 16 0 58 16009 0 III
E09484.mat 16x1+24 1000.0(0)/mV 16 0 19 -16733 0 aVR
E09484.mat 16x1+24 1000.0(0)/mV 16 0 -53 28818 0 aVL
E09484.mat 16x1+24 1000.0(0)/mV 16 0 34 -12704 0 aVF
E09484.mat 16x1+24 1000.0(0)/mV 16 0 39 28387 0 V1
E09484.mat 16x1+24 1000.0(0)/mV 16 0 58 25072 0 V2
E09484.mat 16x1+24 1000.0(0)/mV 16 0 68 -14645 0 V3
E09484.mat 16x1+24 1000.0(0)/mV 16 0 -39 11613 0 V4
E09484.mat 16x1+24 1000.0(0)/mV 16 0 -117 21115 0 V5
E09484.mat 16x1+24 1000.0(0)/mV 16 0 -117 21849 0 V6
# Age: 61
# Sex: Male
# Dx: 713426002,426177001,111975006
# Rx: Unknown
# Hx: Unknown