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

File: <base>/training/georgia/g10/E09325.hea (749 bytes) 
E09325 12 500 5000
E09325.mat 16x1+24 1000.0(0)/mV 16 0 -39 7141 0 I
E09325.mat 16x1+24 1000.0(0)/mV 16 0 -78 -3781 0 II
E09325.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10464 0 III
E09325.mat 16x1+24 1000.0(0)/mV 16 0 58 30790 0 aVR
E09325.mat 16x1+24 1000.0(0)/mV 16 0 0 8809 0 aVL
E09325.mat 16x1+24 1000.0(0)/mV 16 0 -58 25298 0 aVF
E09325.mat 16x1+24 1000.0(0)/mV 16 0 78 -14220 0 V1
E09325.mat 16x1+24 1000.0(0)/mV 16 0 165 -22826 0 V2
E09325.mat 16x1+24 1000.0(0)/mV 16 0 39 -25720 0 V3
E09325.mat 16x1+24 1000.0(0)/mV 16 0 -39 2216 0 V4
E09325.mat 16x1+24 1000.0(0)/mV 16 0 -19 10580 0 V5
E09325.mat 16x1+24 1000.0(0)/mV 16 0 -156 5220 0 V6
# Age: 78
# Sex: Female
# Dx: 164884008,59931005,164934002,111975006,164873001
# Rx: Unknown
# Hx: Unknown