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

File: <base>/training/georgia/g10/E09274.hea (719 bytes) 
E09274 12 500 5000
E09274.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24489 0 I
E09274.mat 16x1+24 1000.0(0)/mV 16 0 48 1883 0 II
E09274.mat 16x1+24 1000.0(0)/mV 16 0 58 26907 0 III
E09274.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21767 0 aVR
E09274.mat 16x1+24 1000.0(0)/mV 16 0 -34 7295 0 aVL
E09274.mat 16x1+24 1000.0(0)/mV 16 0 53 14300 0 aVF
E09274.mat 16x1+24 1000.0(0)/mV 16 0 97 4918 0 V1
E09274.mat 16x1+24 1000.0(0)/mV 16 0 68 -12966 0 V2
E09274.mat 16x1+24 1000.0(0)/mV 16 0 0 -11902 0 V3
E09274.mat 16x1+24 1000.0(0)/mV 16 0 -117 24271 0 V4
E09274.mat 16x1+24 1000.0(0)/mV 16 0 -87 -19547 0 V5
E09274.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11655 0 V6
# Age: 73
# Sex: Female
# Dx: 39732003,164934002
# Rx: Unknown
# Hx: Unknown