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

File: <base>/training/georgia/g6/E05006.hea (723 bytes)
E05006 12 500 5000
E05006.mat 16x1+24 1000.0(0)/mV 16 0 -165 21741 0 I
E05006.mat 16x1+24 1000.0(0)/mV 16 0 -97 -18119 0 II
E05006.mat 16x1+24 1000.0(0)/mV 16 0 68 26137 0 III
E05006.mat 16x1+24 1000.0(0)/mV 16 0 131 31096 0 aVR
E05006.mat 16x1+24 1000.0(0)/mV 16 0 -117 30529 0 aVL
E05006.mat 16x1+24 1000.0(0)/mV 16 0 -14 4059 0 aVF
E05006.mat 16x1+24 1000.0(0)/mV 16 0 68 22819 0 V1
E05006.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21613 0 V2
E05006.mat 16x1+24 1000.0(0)/mV 16 0 -9 21939 0 V3
E05006.mat 16x1+24 1000.0(0)/mV 16 0 0 -31631 0 V4
E05006.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10545 0 V5
E05006.mat 16x1+24 1000.0(0)/mV 16 0 -126 -3503 0 V6
# Age: 60
# Sex: Male
# Dx: 270492004,164934002
# Rx: Unknown
# Hx: Unknown