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

File: <base>/training/georgia/g5/E04273.hea (748 bytes) 
E04273 12 500 5000
E04273.mat 16x1+24 1000.0(0)/mV 16 0 -283 -10152 0 I
E04273.mat 16x1+24 1000.0(0)/mV 16 0 -78 17635 0 II
E04273.mat 16x1+24 1000.0(0)/mV 16 0 204 27460 0 III
E04273.mat 16x1+24 1000.0(0)/mV 16 0 180 29056 0 aVR
E04273.mat 16x1+24 1000.0(0)/mV 16 0 -244 14027 0 aVL
E04273.mat 16x1+24 1000.0(0)/mV 16 0 63 22775 0 aVF
E04273.mat 16x1+24 1000.0(0)/mV 16 0 302 -7678 0 V1
E04273.mat 16x1+24 1000.0(0)/mV 16 0 390 32003 0 V2
E04273.mat 16x1+24 1000.0(0)/mV 16 0 87 9684 0 V3
E04273.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30503 0 V4
E04273.mat 16x1+24 1000.0(0)/mV 16 0 -68 7330 0 V5
E04273.mat 16x1+24 1000.0(0)/mV 16 0 -97 -11753 0 V6
# Age: 60
# Sex: Female
# Dx: 164909002,67741000119109,6374002,427084000
# Rx: Unknown
# Hx: Unknown