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

File: <base>/training/georgia/g10/E09626.hea (709 bytes) 
E09626 12 500 5000
E09626.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27055 0 I
E09626.mat 16x1+24 1000.0(0)/mV 16 0 29 9745 0 II
E09626.mat 16x1+24 1000.0(0)/mV 16 0 39 -28756 0 III
E09626.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24228 0 aVR
E09626.mat 16x1+24 1000.0(0)/mV 16 0 -24 -31744 0 aVL
E09626.mat 16x1+24 1000.0(0)/mV 16 0 34 -9440 0 aVF
E09626.mat 16x1+24 1000.0(0)/mV 16 0 19 -19605 0 V1
E09626.mat 16x1+24 1000.0(0)/mV 16 0 39 -27976 0 V2
E09626.mat 16x1+24 1000.0(0)/mV 16 0 19 20613 0 V3
E09626.mat 16x1+24 1000.0(0)/mV 16 0 9 14191 0 V4
E09626.mat 16x1+24 1000.0(0)/mV 16 0 19 26364 0 V5
E09626.mat 16x1+24 1000.0(0)/mV 16 0 136 -10336 0 V6
# Age: 73
# Sex: Female
# Dx: 164930006
# Rx: Unknown
# Hx: Unknown