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

File: <base>/training/georgia/g4/E03509.hea (748 bytes) 
E03509 12 500 5000
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -117 5338 0 I
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20431 0 II
E03509.mat 16x1+24 1000.0(0)/mV 16 0 97 -25948 0 III
E03509.mat 16x1+24 1000.0(0)/mV 16 0 68 7486 0 aVR
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -107 15698 0 aVL
E03509.mat 16x1+24 1000.0(0)/mV 16 0 39 -23453 0 aVF
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8458 0 V1
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -175 -7 0 V2
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -97 4804 0 V3
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -107 16653 0 V4
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -117 32616 0 V5
E03509.mat 16x1+24 1000.0(0)/mV 16 0 -126 9956 0 V6
# Age: 76
# Sex: Male
# Dx: 59118001,270492004,39732003,426177001,164873001
# Rx: Unknown
# Hx: Unknown