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

File: <base>/training/georgia/g10/E09928.hea (711 bytes) 
E09928 12 500 5000
E09928.mat 16x1+24 1000.0(0)/mV 16 0 -48 30603 0 I
E09928.mat 16x1+24 1000.0(0)/mV 16 0 19 6810 0 II
E09928.mat 16x1+24 1000.0(0)/mV 16 0 68 -22641 0 III
E09928.mat 16x1+24 1000.0(0)/mV 16 0 14 -18818 0 aVR
E09928.mat 16x1+24 1000.0(0)/mV 16 0 -58 -6075 0 aVL
E09928.mat 16x1+24 1000.0(0)/mV 16 0 43 24883 0 aVF
E09928.mat 16x1+24 1000.0(0)/mV 16 0 9 -13058 0 V1
E09928.mat 16x1+24 1000.0(0)/mV 16 0 -19 -30927 0 V2
E09928.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15018 0 V3
E09928.mat 16x1+24 1000.0(0)/mV 16 0 -87 18885 0 V4
E09928.mat 16x1+24 1000.0(0)/mV 16 0 -87 15285 0 V5
E09928.mat 16x1+24 1000.0(0)/mV 16 0 -78 -20393 0 V6
# Age: 26
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown