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

File: <base>/training/cpsc_2018/g5/A4312.hea (679 bytes) 
A4312 12 500 5000
A4312.mat 16x1+24 1000.0(0)/mV 16 0 -69 -47 0 I
A4312.mat 16x1+24 1000.0(0)/mV 16 0 63 -61 0 II
A4312.mat 16x1+24 1000.0(0)/mV 16 0 132 41 0 III
A4312.mat 16x1+24 1000.0(0)/mV 16 0 3 30 0 aVR
A4312.mat 16x1+24 1000.0(0)/mV 16 0 -101 -13 0 aVL
A4312.mat 16x1+24 1000.0(0)/mV 16 0 98 -9 0 aVF
A4312.mat 16x1+24 1000.0(0)/mV 16 0 23 86 0 V1
A4312.mat 16x1+24 1000.0(0)/mV 16 0 91 -72 0 V2
A4312.mat 16x1+24 1000.0(0)/mV 16 0 50 -31 0 V3
A4312.mat 16x1+24 1000.0(0)/mV 16 0 273 -192 0 V4
A4312.mat 16x1+24 1000.0(0)/mV 16 0 -41 -34 0 V5
A4312.mat 16x1+24 1000.0(0)/mV 16 0 -18 -36 0 V6
# Age: 81
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown