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

File: <base>/training/cpsc_2018/g4/A3737.hea (669 bytes) 
A3737 12 500 5000
A3737.mat 16x1+24 1000.0(0)/mV 16 0 -27 -33 0 I
A3737.mat 16x1+24 1000.0(0)/mV 16 0 3 8 0 II
A3737.mat 16x1+24 1000.0(0)/mV 16 0 30 21 0 III
A3737.mat 16x1+24 1000.0(0)/mV 16 0 13 -12 0 aVR
A3737.mat 16x1+24 1000.0(0)/mV 16 0 -29 14 0 aVL
A3737.mat 16x1+24 1000.0(0)/mV 16 0 16 30 0 aVF
A3737.mat 16x1+24 1000.0(0)/mV 16 0 2 24 0 V1
A3737.mat 16x1+24 1000.0(0)/mV 16 0 21 13 0 V2
A3737.mat 16x1+24 1000.0(0)/mV 16 0 19 6 0 V3
A3737.mat 16x1+24 1000.0(0)/mV 16 0 49 -3 0 V4
A3737.mat 16x1+24 1000.0(0)/mV 16 0 31 -35 0 V5
A3737.mat 16x1+24 1000.0(0)/mV 16 0 17 -23 0 V6
# Age: 74
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown