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

File: <base>/training/georgia/g10/E09764.hea (743 bytes) 
E09764 12 500 5000
E09764.mat 16x1+24 1000.0(0)/mV 16 0 -97 -6972 0 I
E09764.mat 16x1+24 1000.0(0)/mV 16 0 -29 -14096 0 II
E09764.mat 16x1+24 1000.0(0)/mV 16 0 68 -6863 0 III
E09764.mat 16x1+24 1000.0(0)/mV 16 0 63 -22157 0 aVR
E09764.mat 16x1+24 1000.0(0)/mV 16 0 -82 32761 0 aVL
E09764.mat 16x1+24 1000.0(0)/mV 16 0 19 -10343 0 aVF
E09764.mat 16x1+24 1000.0(0)/mV 16 0 -146 -9311 0 V1
E09764.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12258 0 V2
E09764.mat 16x1+24 1000.0(0)/mV 16 0 14 -12174 0 V3
E09764.mat 16x1+24 1000.0(0)/mV 16 0 -43 2806 0 V4
E09764.mat 16x1+24 1000.0(0)/mV 16 0 29 -26301 0 V5
E09764.mat 16x1+24 1000.0(0)/mV 16 0 -151 18279 0 V6
# Age: 68
# Sex: Male
# Dx: 425419005,251146004,59931005,164934002
# Rx: Unknown
# Hx: Unknown