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

File: <base>/training/georgia/g10/E09204.hea (724 bytes) 
E09204 12 500 5000
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -58 -23328 0 I
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -68 32151 0 II
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -9 -9995 0 III
E09204.mat 16x1+24 1000.0(0)/mV 16 0 63 28216 0 aVR
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -24 -6562 0 aVL
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -39 -21818 0 aVF
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13191 0 V1
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -48 -15323 0 V2
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -48 30856 0 V3
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -68 15124 0 V4
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10922 0 V5
E09204.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30284 0 V6
# Age: 86
# Sex: Male
# Dx: 59118001,427393009
# Rx: Unknown
# Hx: Unknown