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

File: <base>/training/georgia/g10/E09363.hea (711 bytes) 
E09363 12 500 5000
E09363.mat 16x1+24 1000.0(0)/mV 16 0 87 -20801 0 I
E09363.mat 16x1+24 1000.0(0)/mV 16 0 107 29132 0 II
E09363.mat 16x1+24 1000.0(0)/mV 16 0 19 -17069 0 III
E09363.mat 16x1+24 1000.0(0)/mV 16 0 -97 -4134 0 aVR
E09363.mat 16x1+24 1000.0(0)/mV 16 0 34 -2004 0 aVL
E09363.mat 16x1+24 1000.0(0)/mV 16 0 63 6863 0 aVF
E09363.mat 16x1+24 1000.0(0)/mV 16 0 48 -11920 0 V1
E09363.mat 16x1+24 1000.0(0)/mV 16 0 214 8772 0 V2
E09363.mat 16x1+24 1000.0(0)/mV 16 0 224 17988 0 V3
E09363.mat 16x1+24 1000.0(0)/mV 16 0 136 -23779 0 V4
E09363.mat 16x1+24 1000.0(0)/mV 16 0 117 -28393 0 V5
E09363.mat 16x1+24 1000.0(0)/mV 16 0 107 20854 0 V6
# Age: 22
# Sex: Female
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown