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

File: <base>/training/cpsc_2018/g7/A6382.hea (687 bytes) 
A6382 12 500 5000
A6382.mat 16x1+24 1000.0(0)/mV 16 0 -39 -33 0 I
A6382.mat 16x1+24 1000.0(0)/mV 16 0 -1 -18 0 II
A6382.mat 16x1+24 1000.0(0)/mV 16 0 38 -12 0 III
A6382.mat 16x1+24 1000.0(0)/mV 16 0 20 -8 0 aVR
A6382.mat 16x1+24 1000.0(0)/mV 16 0 -38 13 0 aVL
A6382.mat 16x1+24 1000.0(0)/mV 16 0 18 -6 0 aVF
A6382.mat 16x1+24 1000.0(0)/mV 16 0 42 -20 0 V1
A6382.mat 16x1+24 1000.0(0)/mV 16 0 25 -22 0 V2
A6382.mat 16x1+24 1000.0(0)/mV 16 0 -7 -17 0 V3
A6382.mat 16x1+24 1000.0(0)/mV 16 0 -43 -9 0 V4
A6382.mat 16x1+24 1000.0(0)/mV 16 0 -50 5 0 V5
A6382.mat 16x1+24 1000.0(0)/mV 16 0 -33 19 0 V6
# Age: 84
# Sex: Female
# Dx: 164889003,429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown