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

File: <base>/training/georgia/g7/E06424.hea (735 bytes) 
E06424 12 500 5000
E06424.mat 16x1+24 1000.0(0)/mV 16 0 73 32607 0 I
E06424.mat 16x1+24 1000.0(0)/mV 16 0 14 26993 0 II
E06424.mat 16x1+24 1000.0(0)/mV 16 0 -58 -6169 0 III
E06424.mat 16x1+24 1000.0(0)/mV 16 0 -43 2918 0 aVR
E06424.mat 16x1+24 1000.0(0)/mV 16 0 65 19307 0 aVL
E06424.mat 16x1+24 1000.0(0)/mV 16 0 -21 -22393 0 aVF
E06424.mat 16x1+24 1000.0(0)/mV 16 0 14 3598 0 V1
E06424.mat 16x1+24 1000.0(0)/mV 16 0 161 23674 0 V2
E06424.mat 16x1+24 1000.0(0)/mV 16 0 551 -9756 0 V3
E06424.mat 16x1+24 1000.0(0)/mV 16 0 34 -1917 0 V4
E06424.mat 16x1+24 1000.0(0)/mV 16 0 0 -4444 0 V5
E06424.mat 16x1+24 1000.0(0)/mV 16 0 287 -26399 0 V6
# Age: 39
# Sex: Male
# Dx: 698252002,428750005,427084000,164934002
# Rx: Unknown
# Hx: Unknown