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

File: <base>/training/cpsc_2018/g7/A6762.hea (676 bytes) 
A6762 12 500 5926
A6762.mat 16x1+24 1000.0(0)/mV 16 0 17 30 0 I
A6762.mat 16x1+24 1000.0(0)/mV 16 0 -17 17 0 II
A6762.mat 16x1+24 1000.0(0)/mV 16 0 -34 0 0 III
A6762.mat 16x1+24 1000.0(0)/mV 16 0 0 18 0 aVR
A6762.mat 16x1+24 1000.0(0)/mV 16 0 26 -4 0 aVL
A6762.mat 16x1+24 1000.0(0)/mV 16 0 -25 -20 0 aVF
A6762.mat 16x1+24 1000.0(0)/mV 16 0 1 -40 0 V1
A6762.mat 16x1+24 1000.0(0)/mV 16 0 -27 -12 0 V2
A6762.mat 16x1+24 1000.0(0)/mV 16 0 -74 6 0 V3
A6762.mat 16x1+24 1000.0(0)/mV 16 0 -82 6 0 V4
A6762.mat 16x1+24 1000.0(0)/mV 16 0 -36 47 0 V5
A6762.mat 16x1+24 1000.0(0)/mV 16 0 -122 1044 0 V6
# Age: 62
# Sex: Female
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown