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

File: <base>/training/georgia/g10/E09515.hea (711 bytes) 
E09515 12 500 5000
E09515.mat 16x1+24 1000.0(0)/mV 16 0 97 -19937 0 I
E09515.mat 16x1+24 1000.0(0)/mV 16 0 185 30201 0 II
E09515.mat 16x1+24 1000.0(0)/mV 16 0 87 -14604 0 III
E09515.mat 16x1+24 1000.0(0)/mV 16 0 -141 27622 0 aVR
E09515.mat 16x1+24 1000.0(0)/mV 16 0 4 31142 0 aVL
E09515.mat 16x1+24 1000.0(0)/mV 16 0 136 7944 0 aVF
E09515.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31969 0 V1
E09515.mat 16x1+24 1000.0(0)/mV 16 0 29 17295 0 V2
E09515.mat 16x1+24 1000.0(0)/mV 16 0 29 17146 0 V3
E09515.mat 16x1+24 1000.0(0)/mV 16 0 117 18317 0 V4
E09515.mat 16x1+24 1000.0(0)/mV 16 0 126 -12372 0 V5
E09515.mat 16x1+24 1000.0(0)/mV 16 0 48 10301 0 V6
# Age: 84
# Sex: Female
# Dx: 111975006
# Rx: Unknown
# Hx: Unknown