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

File: <base>/training/georgia/g1/E00506.hea (737 bytes) 
E00506 12 500 5000
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -29 299 0 I
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10397 0 II
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10245 0 III
E00506.mat 16x1+24 1000.0(0)/mV 16 0 39 4898 0 aVR
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -4 -27713 0 aVL
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -34 22610 0 aVF
E00506.mat 16x1+24 1000.0(0)/mV 16 0 9 -22392 0 V1
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -29 8874 0 V2
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -68 10543 0 V3
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -68 216 0 V4
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -48 -13208 0 V5
E00506.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15570 0 V6
# Age: 70
# Sex: Male
# Dx: 426177001,59931005,284470004,284470004
# Rx: Unknown
# Hx: Unknown