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

File: <base>/training/georgia/g1/E00415.hea (706 bytes) 
E00415 12 500 5000
E00415.mat 16x1+24 1000.0(0)/mV 16 0 -34 -31720 0 I
E00415.mat 16x1+24 1000.0(0)/mV 16 0 34 9097 0 II
E00415.mat 16x1+24 1000.0(0)/mV 16 0 68 -24784 0 III
E00415.mat 16x1+24 1000.0(0)/mV 16 0 0 -21698 0 aVR
E00415.mat 16x1+24 1000.0(0)/mV 16 0 -51 29486 0 aVL
E00415.mat 16x1+24 1000.0(0)/mV 16 0 51 -7746 0 aVF
E00415.mat 16x1+24 1000.0(0)/mV 16 0 -4 24381 0 V1
E00415.mat 16x1+24 1000.0(0)/mV 16 0 -53 4154 0 V2
E00415.mat 16x1+24 1000.0(0)/mV 16 0 -24 13228 0 V3
E00415.mat 16x1+24 1000.0(0)/mV 16 0 -82 24912 0 V4
E00415.mat 16x1+24 1000.0(0)/mV 16 0 -19 10701 0 V5
E00415.mat 16x1+24 1000.0(0)/mV 16 0 24 -8081 0 V6
# Age: 80
# Sex: Male
# Dx: 445118002
# Rx: Unknown
# Hx: Unknown