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

File: <base>/training/georgia/g10/E09453.hea (731 bytes) 
E09453 12 500 5000
E09453.mat 16x1+24 1000.0(0)/mV 16 0 19 9767 0 I
E09453.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19074 0 II
E09453.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29922 0 III
E09453.mat 16x1+24 1000.0(0)/mV 16 0 4 3765 0 aVR
E09453.mat 16x1+24 1000.0(0)/mV 16 0 34 19901 0 aVL
E09453.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24449 0 aVF
E09453.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31308 0 V1
E09453.mat 16x1+24 1000.0(0)/mV 16 0 -19 -26248 0 V2
E09453.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25648 0 V3
E09453.mat 16x1+24 1000.0(0)/mV 16 0 9 26724 0 V4
E09453.mat 16x1+24 1000.0(0)/mV 16 0 97 18414 0 V5
E09453.mat 16x1+24 1000.0(0)/mV 16 0 126 -6450 0 V6
# Age: 72
# Sex: Female
# Dx: 426177001,425623009,164934002
# Rx: Unknown
# Hx: Unknown