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

File: <base>/training/cpsc_2018/g1/A0033.hea (671 bytes) 
A0033 12 500 5277
A0033.mat 16x1+24 1000.0(0)/mV 16 0 17 4 0 I
A0033.mat 16x1+24 1000.0(0)/mV 16 0 27 22 0 II
A0033.mat 16x1+24 1000.0(0)/mV 16 0 10 43 0 III
A0033.mat 16x1+24 1000.0(0)/mV 16 0 -22 51 0 aVR
A0033.mat 16x1+24 1000.0(0)/mV 16 0 4 -15 0 aVL
A0033.mat 16x1+24 1000.0(0)/mV 16 0 19 23 0 aVF
A0033.mat 16x1+24 1000.0(0)/mV 16 0 6 7 0 V1
A0033.mat 16x1+24 1000.0(0)/mV 16 0 -17 13 0 V2
A0033.mat 16x1+24 1000.0(0)/mV 16 0 -27 -16 0 V3
A0033.mat 16x1+24 1000.0(0)/mV 16 0 155 1 0 V4
A0033.mat 16x1+24 1000.0(0)/mV 16 0 489 18 0 V5
A0033.mat 16x1+24 1000.0(0)/mV 16 0 1142 64 0 V6
# Age: 34
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown