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

File: <base>/training/georgia/g10/E09240.hea (733 bytes) 
E09240 12 500 5000
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -58 5025 0 I
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -78 18333 0 II
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -19 13583 0 III
E09240.mat 16x1+24 1000.0(0)/mV 16 0 68 -11842 0 aVR
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3882 0 aVL
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -48 16244 0 aVF
E09240.mat 16x1+24 1000.0(0)/mV 16 0 9 -28176 0 V1
E09240.mat 16x1+24 1000.0(0)/mV 16 0 48 30675 0 V2
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15336 0 V3
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30211 0 V4
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21843 0 V5
E09240.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15633 0 V6
# Age: 57
# Sex: Male
# Dx: 426434006,164934002,164873001
# Rx: Unknown
# Hx: Unknown