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

File: <base>/training/georgia/g10/E09912.hea (712 bytes) 
E09912 12 500 5000
E09912.mat 16x1+24 1000.0(0)/mV 16 0 165 16065 0 I
E09912.mat 16x1+24 1000.0(0)/mV 16 0 214 -2401 0 II
E09912.mat 16x1+24 1000.0(0)/mV 16 0 48 -17538 0 III
E09912.mat 16x1+24 1000.0(0)/mV 16 0 -190 -6884 0 aVR
E09912.mat 16x1+24 1000.0(0)/mV 16 0 58 15864 0 aVL
E09912.mat 16x1+24 1000.0(0)/mV 16 0 131 -9946 0 aVF
E09912.mat 16x1+24 1000.0(0)/mV 16 0 -39 17615 0 V1
E09912.mat 16x1+24 1000.0(0)/mV 16 0 380 12826 0 V2
E09912.mat 16x1+24 1000.0(0)/mV 16 0 273 -5589 0 V3
E09912.mat 16x1+24 1000.0(0)/mV 16 0 341 -3721 0 V4
E09912.mat 16x1+24 1000.0(0)/mV 16 0 283 9856 0 V5
E09912.mat 16x1+24 1000.0(0)/mV 16 0 234 -335 0 V6
# Age: 43
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown