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

File: <base>/training/georgia/g10/E09316.hea (720 bytes) 
E09316 12 500 5000
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -107 30196 0 I
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -161 23335 0 II
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -53 -6321 0 III
E09316.mat 16x1+24 1000.0(0)/mV 16 0 134 5877 0 aVR
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -26 -14441 0 aVL
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -107 8500 0 aVF
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -126 -9671 0 V1
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -92 -25954 0 V2
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -161 16089 0 V3
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -87 -4784 0 V4
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -97 22943 0 V5
E09316.mat 16x1+24 1000.0(0)/mV 16 0 -48 -18040 0 V6
# Age: 58
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown