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

File: <base>/training/georgia/g4/E03592.hea (716 bytes) 
E03592 12 500 5000
E03592.mat 16x1+24 1000.0(0)/mV 16 0 39 30386 0 I
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -146 6774 0 II
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -185 -23090 0 III
E03592.mat 16x1+24 1000.0(0)/mV 16 0 53 14103 0 aVR
E03592.mat 16x1+24 1000.0(0)/mV 16 0 112 27120 0 aVL
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -165 24796 0 aVF
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -68 18410 0 V1
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -292 -26869 0 V2
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -165 8728 0 V3
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -136 4244 0 V4
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -107 31590 0 V5
E03592.mat 16x1+24 1000.0(0)/mV 16 0 -117 2264 0 V6
# Age: 54
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown