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

File: <base>/training/georgia/g10/E09440.hea (727 bytes) 
E09440 12 500 5000
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -126 31393 0 I
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -34 -3563 0 II
E09440.mat 16x1+24 1000.0(0)/mV 16 0 92 31016 0 III
E09440.mat 16x1+24 1000.0(0)/mV 16 0 80 -13882 0 aVR
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -109 -32208 0 aVL
E09440.mat 16x1+24 1000.0(0)/mV 16 0 29 -19351 0 aVF
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -92 -4343 0 V1
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -122 -9986 0 V2
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -87 4585 0 V3
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -146 23263 0 V4
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -63 -2598 0 V5
E09440.mat 16x1+24 1000.0(0)/mV 16 0 -73 21360 0 V6
# Age: 67
# Sex: Female
# Dx: 713426002,270492004
# Rx: Unknown
# Hx: Unknown