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

File: <base>/training/cpsc_2018/g1/A0964.hea (668 bytes) 
A0964 12 500 5000
A0964.mat 16x1+24 1000.0(0)/mV 16 0 20 32 0 I
A0964.mat 16x1+24 1000.0(0)/mV 16 0 11 13 0 II
A0964.mat 16x1+24 1000.0(0)/mV 16 0 -9 35 0 III
A0964.mat 16x1+24 1000.0(0)/mV 16 0 -15 -1 0 aVR
A0964.mat 16x1+24 1000.0(0)/mV 16 0 14 29 0 aVL
A0964.mat 16x1+24 1000.0(0)/mV 16 0 1 -18 0 aVF
A0964.mat 16x1+24 1000.0(0)/mV 16 0 -32 -34 0 V1
A0964.mat 16x1+24 1000.0(0)/mV 16 0 18 -1 0 V2
A0964.mat 16x1+24 1000.0(0)/mV 16 0 -21 18 0 V3
A0964.mat 16x1+24 1000.0(0)/mV 16 0 -14 36 0 V4
A0964.mat 16x1+24 1000.0(0)/mV 16 0 -3 4 0 V5
A0964.mat 16x1+24 1000.0(0)/mV 16 0 7 20 0 V6
# Age: 56
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown