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

File: <base>/training/georgia/g10/E09359.hea (703 bytes) 
E09359 12 500 5000
E09359.mat 16x1+24 1000.0(0)/mV 16 0 4 -2134 0 I
E09359.mat 16x1+24 1000.0(0)/mV 16 0 48 7577 0 II
E09359.mat 16x1+24 1000.0(0)/mV 16 0 43 9465 0 III
E09359.mat 16x1+24 1000.0(0)/mV 16 0 -26 -2416 0 aVR
E09359.mat 16x1+24 1000.0(0)/mV 16 0 -19 -5658 0 aVL
E09359.mat 16x1+24 1000.0(0)/mV 16 0 46 9043 0 aVF
E09359.mat 16x1+24 1000.0(0)/mV 16 0 -78 26373 0 V1
E09359.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24691 0 V2
E09359.mat 16x1+24 1000.0(0)/mV 16 0 19 -8660 0 V3
E09359.mat 16x1+24 1000.0(0)/mV 16 0 161 7978 0 V4
E09359.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2419 0 V5
E09359.mat 16x1+24 1000.0(0)/mV 16 0 -82 -11869 0 V6
# Age: 59
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown