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

File: <base>/training/georgia/g10/E09738.hea (726 bytes) 
E09738 12 500 5000
E09738.mat 16x1+24 1000.0(0)/mV 16 0 39 -18316 0 I
E09738.mat 16x1+24 1000.0(0)/mV 16 0 -107 3196 0 II
E09738.mat 16x1+24 1000.0(0)/mV 16 0 -146 20582 0 III
E09738.mat 16x1+24 1000.0(0)/mV 16 0 34 8005 0 aVR
E09738.mat 16x1+24 1000.0(0)/mV 16 0 92 -19419 0 aVL
E09738.mat 16x1+24 1000.0(0)/mV 16 0 -126 11815 0 aVF
E09738.mat 16x1+24 1000.0(0)/mV 16 0 39 18761 0 V1
E09738.mat 16x1+24 1000.0(0)/mV 16 0 9 -27867 0 V2
E09738.mat 16x1+24 1000.0(0)/mV 16 0 97 9615 0 V3
E09738.mat 16x1+24 1000.0(0)/mV 16 0 -19 16663 0 V4
E09738.mat 16x1+24 1000.0(0)/mV 16 0 -68 676 0 V5
E09738.mat 16x1+24 1000.0(0)/mV 16 0 -78 -18757 0 V6
# Age: 25
# Sex: Male
# Dx: 427084000,59931005,428750005
# Rx: Unknown
# Hx: Unknown