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

File: <base>/training/cpsc_2018/g1/A0903.hea (673 bytes) 
A0903 12 500 7994
A0903.mat 16x1+24 1000.0(0)/mV 16 0 2 12 0 I
A0903.mat 16x1+24 1000.0(0)/mV 16 0 21 -7 0 II
A0903.mat 16x1+24 1000.0(0)/mV 16 0 20 34 0 III
A0903.mat 16x1+24 1000.0(0)/mV 16 0 -11 -48 0 aVR
A0903.mat 16x1+24 1000.0(0)/mV 16 0 -9 55 0 aVL
A0903.mat 16x1+24 1000.0(0)/mV 16 0 21 -21 0 aVF
A0903.mat 16x1+24 1000.0(0)/mV 16 0 78 108 0 V1
A0903.mat 16x1+24 1000.0(0)/mV 16 0 138 9 0 V2
A0903.mat 16x1+24 1000.0(0)/mV 16 0 181 82 0 V3
A0903.mat 16x1+24 1000.0(0)/mV 16 0 93 -3 0 V4
A0903.mat 16x1+24 1000.0(0)/mV 16 0 32 -17 0 V5
A0903.mat 16x1+24 1000.0(0)/mV 16 0 48 -11 0 V6
# Age: 65
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown