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

File: <base>/training/georgia/g4/E03928.hea (714 bytes) 
E03928 12 500 5000
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10345 0 I
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -73 -10872 0 II
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -14 -609 0 III
E03928.mat 16x1+24 1000.0(0)/mV 16 0 65 -22246 0 aVR
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -21 28324 0 aVL
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -43 -5647 0 aVF
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -24 22017 0 V1
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -73 4772 0 V2
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -73 17296 0 V3
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -63 12332 0 V4
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -48 25817 0 V5
E03928.mat 16x1+24 1000.0(0)/mV 16 0 -63 28144 0 V6
# Age: 63
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown