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

File: <base>/training/cpsc_2018/g4/A3952.hea (674 bytes) 
A3952 12 500 5884
A3952.mat 16x1+24 1000.0(0)/mV 16 0 20 56 0 I
A3952.mat 16x1+24 1000.0(0)/mV 16 0 -45 78 0 II
A3952.mat 16x1+24 1000.0(0)/mV 16 0 -65 1 0 III
A3952.mat 16x1+24 1000.0(0)/mV 16 0 12 -50 0 aVR
A3952.mat 16x1+24 1000.0(0)/mV 16 0 43 55 0 aVL
A3952.mat 16x1+24 1000.0(0)/mV 16 0 -55 -25 0 aVF
A3952.mat 16x1+24 1000.0(0)/mV 16 0 23 38 0 V1
A3952.mat 16x1+24 1000.0(0)/mV 16 0 207 263 0 V2
A3952.mat 16x1+24 1000.0(0)/mV 16 0 98 229 0 V3
A3952.mat 16x1+24 1000.0(0)/mV 16 0 160 205 0 V4
A3952.mat 16x1+24 1000.0(0)/mV 16 0 94 92 0 V5
A3952.mat 16x1+24 1000.0(0)/mV 16 0 30 70 0 V6
# Age: 44
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown