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

File: <base>/training/georgia/g10/E09344.hea (746 bytes) 
E09344 12 500 5000
E09344.mat 16x1+24 1000.0(0)/mV 16 0 53 27875 0 I
E09344.mat 16x1+24 1000.0(0)/mV 16 0 19 -15820 0 II
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -34 21653 0 III
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -36 -6589 0 aVR
E09344.mat 16x1+24 1000.0(0)/mV 16 0 43 -29007 0 aVL
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -7 -29708 0 aVF
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -209 -12767 0 V1
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -224 -10018 0 V2
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -53 -5701 0 V3
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -14 32171 0 V4
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -19 -27535 0 V5
E09344.mat 16x1+24 1000.0(0)/mV 16 0 -24 -11362 0 V6
# Age: 59
# Sex: Male
# Dx: 164889003,426177001,59931005,164873001
# Rx: Unknown
# Hx: Unknown