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

File: <base>/training/cpsc_2018/g1/A0092.hea (672 bytes) 
A0092 12 500 7068
A0092.mat 16x1+24 1000.0(0)/mV 16 0 -18 25 0 I
A0092.mat 16x1+24 1000.0(0)/mV 16 0 -36 4 0 II
A0092.mat 16x1+24 1000.0(0)/mV 16 0 -19 -6 0 III
A0092.mat 16x1+24 1000.0(0)/mV 16 0 27 -3 0 aVR
A0092.mat 16x1+24 1000.0(0)/mV 16 0 1 35 0 aVL
A0092.mat 16x1+24 1000.0(0)/mV 16 0 -27 15 0 aVF
A0092.mat 16x1+24 1000.0(0)/mV 16 0 69 -5 0 V1
A0092.mat 16x1+24 1000.0(0)/mV 16 0 93 20 0 V2
A0092.mat 16x1+24 1000.0(0)/mV 16 0 11 25 0 V3
A0092.mat 16x1+24 1000.0(0)/mV 16 0 -15 44 0 V4
A0092.mat 16x1+24 1000.0(0)/mV 16 0 -85 33 0 V5
A0092.mat 16x1+24 1000.0(0)/mV 16 0 -78 16 0 V6
# Age: 54
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown