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

File: <base>/training/georgia/g10/E09311.hea (741 bytes) 
E09311 12 500 5000
E09311.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29834 0 I
E09311.mat 16x1+24 1000.0(0)/mV 16 0 -68 -24833 0 II
E09311.mat 16x1+24 1000.0(0)/mV 16 0 9 5337 0 III
E09311.mat 16x1+24 1000.0(0)/mV 16 0 73 27506 0 aVR
E09311.mat 16x1+24 1000.0(0)/mV 16 0 -43 15626 0 aVL
E09311.mat 16x1+24 1000.0(0)/mV 16 0 -29 23046 0 aVF
E09311.mat 16x1+24 1000.0(0)/mV 16 0 48 -14149 0 V1
E09311.mat 16x1+24 1000.0(0)/mV 16 0 -19 22374 0 V2
E09311.mat 16x1+24 1000.0(0)/mV 16 0 19 30252 0 V3
E09311.mat 16x1+24 1000.0(0)/mV 16 0 -117 29856 0 V4
E09311.mat 16x1+24 1000.0(0)/mV 16 0 -234 736 0 V5
E09311.mat 16x1+24 1000.0(0)/mV 16 0 -292 -16293 0 V6
# Age: 58
# Sex: Male
# Dx: 164873001,426434006,164917005,111975006
# Rx: Unknown
# Hx: Unknown