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

File: <base>/training/georgia/g10/E09860.hea (796 bytes) 
E09860 12 500 5000
E09860.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19790 0 I
E09860.mat 16x1+24 1000.0(0)/mV 16 0 -58 -17768 0 II
E09860.mat 16x1+24 1000.0(0)/mV 16 0 -48 2913 0 III
E09860.mat 16x1+24 1000.0(0)/mV 16 0 34 18881 0 aVR
E09860.mat 16x1+24 1000.0(0)/mV 16 0 19 -11035 0 aVL
E09860.mat 16x1+24 1000.0(0)/mV 16 0 -53 -7367 0 aVF
E09860.mat 16x1+24 1000.0(0)/mV 16 0 78 -7924 0 V1
E09860.mat 16x1+24 1000.0(0)/mV 16 0 97 -15170 0 V2
E09860.mat 16x1+24 1000.0(0)/mV 16 0 87 -28456 0 V3
E09860.mat 16x1+24 1000.0(0)/mV 16 0 -39 -27670 0 V4
E09860.mat 16x1+24 1000.0(0)/mV 16 0 -58 -20915 0 V5
E09860.mat 16x1+24 1000.0(0)/mV 16 0 -68 25217 0 V6
# Age: 63
# Sex: Male
# Dx: 164873001,428750005,266249003,67741000119109,164934002,164889003,59931005,111975006,284470004
# Rx: Unknown
# Hx: Unknown