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

File: <base>/training/georgia/g10/E09723.hea (727 bytes) 
E09723 12 500 5000
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -19 15089 0 I
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -58 32062 0 II
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -39 17869 0 III
E09723.mat 16x1+24 1000.0(0)/mV 16 0 39 9142 0 aVR
E09723.mat 16x1+24 1000.0(0)/mV 16 0 9 -2126 0 aVL
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -48 -8061 0 aVF
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -97 -10006 0 V1
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -19 27153 0 V2
E09723.mat 16x1+24 1000.0(0)/mV 16 0 48 -693 0 V3
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1731 0 V4
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31469 0 V5
E09723.mat 16x1+24 1000.0(0)/mV 16 0 -29 22343 0 V6
# Age: 66
# Sex: Male
# Dx: 59118001,427084000,251266004
# Rx: Unknown
# Hx: Unknown