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

File: <base>/training/georgia/g10/E09602.hea (716 bytes) 
E09602 12 500 5000
E09602.mat 16x1+24 1000.0(0)/mV 16 0 -58 -23128 0 I
E09602.mat 16x1+24 1000.0(0)/mV 16 0 -107 23040 0 II
E09602.mat 16x1+24 1000.0(0)/mV 16 0 -48 -18223 0 III
E09602.mat 16x1+24 1000.0(0)/mV 16 0 82 -32661 0 aVR
E09602.mat 16x1+24 1000.0(0)/mV 16 0 -4 -2259 0 aVL
E09602.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30345 0 aVF
E09602.mat 16x1+24 1000.0(0)/mV 16 0 9 -10912 0 V1
E09602.mat 16x1+24 1000.0(0)/mV 16 0 -78 -18065 0 V2
E09602.mat 16x1+24 1000.0(0)/mV 16 0 97 1842 0 V3
E09602.mat 16x1+24 1000.0(0)/mV 16 0 19 1346 0 V4
E09602.mat 16x1+24 1000.0(0)/mV 16 0 -126 -30579 0 V5
E09602.mat 16x1+24 1000.0(0)/mV 16 0 -97 -32676 0 V6
# Age: 23
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown