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

File: <base>/training/georgia/g7/E06529.hea (717 bytes) 
E06529 12 500 5000
E06529.mat 16x1+24 1000.0(0)/mV 16 0 0 27617 0 I
E06529.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30816 0 II
E06529.mat 16x1+24 1000.0(0)/mV 16 0 -19 7097 0 III
E06529.mat 16x1+24 1000.0(0)/mV 16 0 9 -31229 0 aVR
E06529.mat 16x1+24 1000.0(0)/mV 16 0 9 -22427 0 aVL
E06529.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11878 0 aVF
E06529.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4874 0 V1
E06529.mat 16x1+24 1000.0(0)/mV 16 0 -19 1478 0 V2
E06529.mat 16x1+24 1000.0(0)/mV 16 0 58 -8896 0 V3
E06529.mat 16x1+24 1000.0(0)/mV 16 0 68 -31972 0 V4
E06529.mat 16x1+24 1000.0(0)/mV 16 0 68 -32350 0 V5
E06529.mat 16x1+24 1000.0(0)/mV 16 0 68 -31985 0 V6
# Age: 55
# Sex: Male
# Dx: 698252002,251146004
# Rx: Unknown
# Hx: Unknown