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

File: <base>/training/cpsc_2018/g5/A4803.hea (673 bytes) 
A4803 12 500 9506
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -14 -27 0 I
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2 0 II
A4803.mat 16x1+24 1000.0(0)/mV 16 0 4 -16 0 III
A4803.mat 16x1+24 1000.0(0)/mV 16 0 12 -26 0 aVR
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -9 60 0 aVL
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -3 -20 0 aVF
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -12 -28 0 V1
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -91 0 0 V2
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -68 41 0 V3
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -25 38 0 V4
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -3 51 0 V5
A4803.mat 16x1+24 1000.0(0)/mV 16 0 -41 0 0 V6
# Age: 89
# Sex: Male
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown