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

File: <base>/training/georgia/g10/E09792.hea (743 bytes) 
E09792 12 500 5000
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -185 -1488 0 I
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -165 31107 0 II
E09792.mat 16x1+24 1000.0(0)/mV 16 0 19 -32484 0 III
E09792.mat 16x1+24 1000.0(0)/mV 16 0 175 -14756 0 aVR
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -102 15480 0 aVL
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -73 -470 0 aVF
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -29 -6946 0 V1
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -97 -12663 0 V2
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -19 -7905 0 V3
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -58 178 0 V4
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -58 29041 0 V5
E09792.mat 16x1+24 1000.0(0)/mV 16 0 -68 6011 0 V6
# Age: 87
# Sex: Male
# Dx: 270492004,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown