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

File: <base>/training/cpsc_2018/g2/A1152.hea (702 bytes) 
A1152 12 500 5000
A1152.mat 16x1+24 1000.0(0)/mV 16 0 43 1531 0 I
A1152.mat 16x1+24 1000.0(0)/mV 16 0 159 -1733 0 II
A1152.mat 16x1+24 1000.0(0)/mV 16 0 117 1736 0 III
A1152.mat 16x1+24 1000.0(0)/mV 16 0 -101 -333 0 aVR
A1152.mat 16x1+24 1000.0(0)/mV 16 0 -37 -2432 0 aVL
A1152.mat 16x1+24 1000.0(0)/mV 16 0 138 2116 0 aVF
A1152.mat 16x1+24 1000.0(0)/mV 16 0 -88 645 0 V1
A1152.mat 16x1+24 1000.0(0)/mV 16 0 -77 -2423 0 V2
A1152.mat 16x1+24 1000.0(0)/mV 16 0 -76 -1546 0 V3
A1152.mat 16x1+24 1000.0(0)/mV 16 0 20 912 0 V4
A1152.mat 16x1+24 1000.0(0)/mV 16 0 41 1652 0 V5
A1152.mat 16x1+24 1000.0(0)/mV 16 0 16 -2431 0 V6
# Age: 66
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown