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

File: <base>/training/georgia/g1/E00582.hea (737 bytes) 
E00582 12 500 5000
E00582.mat 16x1+24 1000.0(0)/mV 16 0 -48 -20493 0 I
E00582.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30941 0 II
E00582.mat 16x1+24 1000.0(0)/mV 16 0 29 -10709 0 III
E00582.mat 16x1+24 1000.0(0)/mV 16 0 34 25804 0 aVR
E00582.mat 16x1+24 1000.0(0)/mV 16 0 -39 -4840 0 aVL
E00582.mat 16x1+24 1000.0(0)/mV 16 0 4 -21083 0 aVF
E00582.mat 16x1+24 1000.0(0)/mV 16 0 58 -7207 0 V1
E00582.mat 16x1+24 1000.0(0)/mV 16 0 19 -25437 0 V2
E00582.mat 16x1+24 1000.0(0)/mV 16 0 146 -26789 0 V3
E00582.mat 16x1+24 1000.0(0)/mV 16 0 107 -8176 0 V4
E00582.mat 16x1+24 1000.0(0)/mV 16 0 -78 -9262 0 V5
E00582.mat 16x1+24 1000.0(0)/mV 16 0 -78 -28047 0 V6
# Age: 62
# Sex: Male
# Dx: 67741000119109,426434006,59931005
# Rx: Unknown
# Hx: Unknown