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

File: <base>/training/georgia/g6/E05992.hea (717 bytes) 
E05992 12 500 5000
E05992.mat 16x1+24 1000.0(0)/mV 16 0 -53 23227 0 I
E05992.mat 16x1+24 1000.0(0)/mV 16 0 -151 -18552 0 II
E05992.mat 16x1+24 1000.0(0)/mV 16 0 -97 24037 0 III
E05992.mat 16x1+24 1000.0(0)/mV 16 0 102 30403 0 aVR
E05992.mat 16x1+24 1000.0(0)/mV 16 0 21 -347 0 aVL
E05992.mat 16x1+24 1000.0(0)/mV 16 0 -124 -29964 0 aVF
E05992.mat 16x1+24 1000.0(0)/mV 16 0 9 -30960 0 V1
E05992.mat 16x1+24 1000.0(0)/mV 16 0 -244 18380 0 V2
E05992.mat 16x1+24 1000.0(0)/mV 16 0 1927 6481 0 V3
E05992.mat 16x1+24 1000.0(0)/mV 16 0 1249 27849 0 V4
E05992.mat 16x1+24 1000.0(0)/mV 16 0 -92 -23132 0 V5
E05992.mat 16x1+24 1000.0(0)/mV 16 0 -68 -28901 0 V6
# Age: 56
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown