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

File: <base>/training/cpsc_2018/g1/A0052.hea (672 bytes) 
A0052 12 500 5000
A0052.mat 16x1+24 1000.0(0)/mV 16 0 0 9 0 I
A0052.mat 16x1+24 1000.0(0)/mV 16 0 21 4 0 II
A0052.mat 16x1+24 1000.0(0)/mV 16 0 21 -1 0 III
A0052.mat 16x1+24 1000.0(0)/mV 16 0 -10 -39 0 aVR
A0052.mat 16x1+24 1000.0(0)/mV 16 0 -11 -6 0 aVL
A0052.mat 16x1+24 1000.0(0)/mV 16 0 20 -21 0 aVF
A0052.mat 16x1+24 1000.0(0)/mV 16 0 168 -5 0 V1
A0052.mat 16x1+24 1000.0(0)/mV 16 0 41 34 0 V2
A0052.mat 16x1+24 1000.0(0)/mV 16 0 83 0 0 V3
A0052.mat 16x1+24 1000.0(0)/mV 16 0 -97 -10 0 V4
A0052.mat 16x1+24 1000.0(0)/mV 16 0 -73 9 0 V5
A0052.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14 0 V6
# Age: 80
# Sex: Female
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown