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

File: <base>/training/georgia/g1/E00282.hea (713 bytes) 
E00282 12 500 5000
E00282.mat 16x1+24 1000.0(0)/mV 16 0 29 -16872 0 I
E00282.mat 16x1+24 1000.0(0)/mV 16 0 -4 14293 0 II
E00282.mat 16x1+24 1000.0(0)/mV 16 0 -34 31738 0 III
E00282.mat 16x1+24 1000.0(0)/mV 16 0 -12 1229 0 aVR
E00282.mat 16x1+24 1000.0(0)/mV 16 0 31 8563 0 aVL
E00282.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9726 0 aVF
E00282.mat 16x1+24 1000.0(0)/mV 16 0 39 24012 0 V1
E00282.mat 16x1+24 1000.0(0)/mV 16 0 -82 11814 0 V2
E00282.mat 16x1+24 1000.0(0)/mV 16 0 0 0 0 V3
E00282.mat 16x1+24 1000.0(0)/mV 16 0 -73 -32179 0 V4
E00282.mat 16x1+24 1000.0(0)/mV 16 0 -78 -31156 0 V5
E00282.mat 16x1+24 1000.0(0)/mV 16 0 -97 -29511 0 V6
# Age: 83
# Sex: Male
# Dx: 59118001,164889003
# Rx: Unknown
# Hx: Unknown