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

File: <base>/training/georgia/g10/E09806.hea (738 bytes) 
E09806 12 500 5000
E09806.mat 16x1+24 1000.0(0)/mV 16 0 -53 -11557 0 I
E09806.mat 16x1+24 1000.0(0)/mV 16 0 -34 -20932 0 II
E09806.mat 16x1+24 1000.0(0)/mV 16 0 19 -7940 0 III
E09806.mat 16x1+24 1000.0(0)/mV 16 0 43 16719 0 aVR
E09806.mat 16x1+24 1000.0(0)/mV 16 0 -36 30946 0 aVL
E09806.mat 16x1+24 1000.0(0)/mV 16 0 -7 18362 0 aVF
E09806.mat 16x1+24 1000.0(0)/mV 16 0 34 -30929 0 V1
E09806.mat 16x1+24 1000.0(0)/mV 16 0 -19 27491 0 V2
E09806.mat 16x1+24 1000.0(0)/mV 16 0 43 23848 0 V3
E09806.mat 16x1+24 1000.0(0)/mV 16 0 -63 -13793 0 V4
E09806.mat 16x1+24 1000.0(0)/mV 16 0 -39 -16081 0 V5
E09806.mat 16x1+24 1000.0(0)/mV 16 0 -68 -28249 0 V6
# Age: 81
# Sex: Male
# Dx: 164884008,428750005,67741000119109
# Rx: Unknown
# Hx: Unknown