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

File: <base>/training/georgia/g10/E09244.hea (710 bytes) 
E09244 12 500 5000
E09244.mat 16x1+24 1000.0(0)/mV 16 0 19 32501 0 I
E09244.mat 16x1+24 1000.0(0)/mV 16 0 29 32288 0 II
E09244.mat 16x1+24 1000.0(0)/mV 16 0 9 -61 0 III
E09244.mat 16x1+24 1000.0(0)/mV 16 0 -24 -32354 0 aVR
E09244.mat 16x1+24 1000.0(0)/mV 16 0 4 16501 0 aVL
E09244.mat 16x1+24 1000.0(0)/mV 16 0 19 16557 0 aVF
E09244.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22588 0 V1
E09244.mat 16x1+24 1000.0(0)/mV 16 0 87 -2902 0 V2
E09244.mat 16x1+24 1000.0(0)/mV 16 0 97 -19863 0 V3
E09244.mat 16x1+24 1000.0(0)/mV 16 0 87 30985 0 V4
E09244.mat 16x1+24 1000.0(0)/mV 16 0 29 -5389 0 V5
E09244.mat 16x1+24 1000.0(0)/mV 16 0 29 -5714 0 V6
# Age: 44
# Sex: Male
# Dx: 428750005,164889003
# Rx: Unknown
# Hx: Unknown