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

File: <base>/training/georgia/g5/E04712.hea (713 bytes) 
E04712 12 500 5000
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -78 -31488 0 I
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -78 -2518 0 II
E04712.mat 16x1+24 1000.0(0)/mV 16 0 0 29181 0 III
E04712.mat 16x1+24 1000.0(0)/mV 16 0 78 -15759 0 aVR
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -39 -29905 0 aVL
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -39 -19173 0 aVF
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -136 22815 0 V1
E04712.mat 16x1+24 1000.0(0)/mV 16 0 58 -30069 0 V2
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -146 9034 0 V3
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -78 30677 0 V4
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -48 22134 0 V5
E04712.mat 16x1+24 1000.0(0)/mV 16 0 -29 2753 0 V6
# Age: 70
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown