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

File: <base>/training/cpsc_2018/g7/A6483.hea (677 bytes) 
A6483 12 500 5000
A6483.mat 16x1+24 1000.0(0)/mV 16 0 0 -35 0 I
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -32 -15 0 II
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -32 -23 0 III
A6483.mat 16x1+24 1000.0(0)/mV 16 0 16 -4 0 aVR
A6483.mat 16x1+24 1000.0(0)/mV 16 0 15 19 0 aVL
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -31 6 0 aVF
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -3 -6 0 V1
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -12 -14 0 V2
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -5 -23 0 V3
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -24 -49 0 V4
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -27 -25 0 V5
A6483.mat 16x1+24 1000.0(0)/mV 16 0 -29 -7 0 V6
# Age: 82
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown