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

File: <base>/training/georgia/g6/E05873.hea (737 bytes) 
E05873 12 500 5000
E05873.mat 16x1+24 1000.0(0)/mV 16 0 -136 23960 0 I
E05873.mat 16x1+24 1000.0(0)/mV 16 0 -244 -12983 0 II
E05873.mat 16x1+24 1000.0(0)/mV 16 0 -107 28379 0 III
E05873.mat 16x1+24 1000.0(0)/mV 16 0 190 27247 0 aVR
E05873.mat 16x1+24 1000.0(0)/mV 16 0 -14 30783 0 aVL
E05873.mat 16x1+24 1000.0(0)/mV 16 0 -175 7668 0 aVF
E05873.mat 16x1+24 1000.0(0)/mV 16 0 136 3318 0 V1
E05873.mat 16x1+24 1000.0(0)/mV 16 0 292 23623 0 V2
E05873.mat 16x1+24 1000.0(0)/mV 16 0 224 -7434 0 V3
E05873.mat 16x1+24 1000.0(0)/mV 16 0 -19 14462 0 V4
E05873.mat 16x1+24 1000.0(0)/mV 16 0 -136 -10580 0 V5
E05873.mat 16x1+24 1000.0(0)/mV 16 0 -175 22531 0 V6
# Age: 88
# Sex: Female
# Dx: 164909002,6374002,39732003
# Rx: Unknown
# Hx: Unknown