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

File: <base>/training/georgia/g10/E09299.hea (729 bytes) 
E09299 12 500 5000
E09299.mat 16x1+24 1000.0(0)/mV 16 0 43 -12911 0 I
E09299.mat 16x1+24 1000.0(0)/mV 16 0 336 -12041 0 II
E09299.mat 16x1+24 1000.0(0)/mV 16 0 292 1101 0 III
E09299.mat 16x1+24 1000.0(0)/mV 16 0 -190 12502 0 aVR
E09299.mat 16x1+24 1000.0(0)/mV 16 0 -124 -7153 0 aVL
E09299.mat 16x1+24 1000.0(0)/mV 16 0 314 -5478 0 aVF
E09299.mat 16x1+24 1000.0(0)/mV 16 0 -92 6615 0 V1
E09299.mat 16x1+24 1000.0(0)/mV 16 0 -73 -31950 0 V2
E09299.mat 16x1+24 1000.0(0)/mV 16 0 87 29381 0 V3
E09299.mat 16x1+24 1000.0(0)/mV 16 0 -43 -21301 0 V4
E09299.mat 16x1+24 1000.0(0)/mV 16 0 -287 -13704 0 V5
E09299.mat 16x1+24 1000.0(0)/mV 16 0 -136 -3403 0 V6
# Age: 79
# Sex: Female
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown