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

File: <base>/training/cpsc_2018/g3/A2509.hea (698 bytes) 
A2509 12 500 13000
A2509.mat 16x1+24 1000.0(0)/mV 16 0 12 -3898 0 I
A2509.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4178 0 II
A2509.mat 16x1+24 1000.0(0)/mV 16 0 -21 -280 0 III
A2509.mat 16x1+24 1000.0(0)/mV 16 0 -2 -4118 0 aVR
A2509.mat 16x1+24 1000.0(0)/mV 16 0 16 -2312 0 aVL
A2509.mat 16x1+24 1000.0(0)/mV 16 0 -14 6274 0 aVF
A2509.mat 16x1+24 1000.0(0)/mV 16 0 64 914 0 V1
A2509.mat 16x1+24 1000.0(0)/mV 16 0 62 3647 0 V2
A2509.mat 16x1+24 1000.0(0)/mV 16 0 47 -4053 0 V3
A2509.mat 16x1+24 1000.0(0)/mV 16 0 23 -621 0 V4
A2509.mat 16x1+24 1000.0(0)/mV 16 0 7 847 0 V5
A2509.mat 16x1+24 1000.0(0)/mV 16 0 -119 5018 0 V6
# Age: 62
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown