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

File: <base>/training/ptb-xl/g2/HR01506.hea (740 bytes) 
HR01506 12 500 5000
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 -85 -26169 0 I
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 -220 -16836 0 II
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 -135 9347 0 III
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 153 21586 0 aVR
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 25 -17429 0 aVL
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 -177 -3489 0 aVF
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 -40 1393 0 V1
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 40 2213 0 V2
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 -275 28182 0 V3
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 -135 1399 0 V4
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 55 6783 0 V5
HR01506.mat 16x1+24 1000.0(0)/mv 16 0 -345 -4412 0 V6
# Age: 80
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown