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

File: <base>/training/cpsc_2018/g1/A0909.hea (671 bytes) 
A0909 12 500 5367
A0909.mat 16x1+24 1000.0(0)/mV 16 0 -21 33 0 I
A0909.mat 16x1+24 1000.0(0)/mV 16 0 11 25 0 II
A0909.mat 16x1+24 1000.0(0)/mV 16 0 31 10 0 III
A0909.mat 16x1+24 1000.0(0)/mV 16 0 5 -7 0 aVR
A0909.mat 16x1+24 1000.0(0)/mV 16 0 -26 35 0 aVL
A0909.mat 16x1+24 1000.0(0)/mV 16 0 20 -24 0 aVF
A0909.mat 16x1+24 1000.0(0)/mV 16 0 21 -29 0 V1
A0909.mat 16x1+24 1000.0(0)/mV 16 0 63 -9 0 V2
A0909.mat 16x1+24 1000.0(0)/mV 16 0 43 20 0 V3
A0909.mat 16x1+24 1000.0(0)/mV 16 0 28 2 0 V4
A0909.mat 16x1+24 1000.0(0)/mV 16 0 -39 18 0 V5
A0909.mat 16x1+24 1000.0(0)/mV 16 0 -42 22 0 V6
# Age: 72
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown