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

File: <base>/training/cpsc_2018/g4/A3532.hea (668 bytes) 
A3532 12 500 5464
A3532.mat 16x1+24 1000.0(0)/mV 16 0 -7 46 0 I
A3532.mat 16x1+24 1000.0(0)/mV 16 0 0 -2 0 II
A3532.mat 16x1+24 1000.0(0)/mV 16 0 7 -16 0 III
A3532.mat 16x1+24 1000.0(0)/mV 16 0 3 -16 0 aVR
A3532.mat 16x1+24 1000.0(0)/mV 16 0 -7 19 0 aVL
A3532.mat 16x1+24 1000.0(0)/mV 16 0 4 10 0 aVF
A3532.mat 16x1+24 1000.0(0)/mV 16 0 31 17 0 V1
A3532.mat 16x1+24 1000.0(0)/mV 16 0 45 9 0 V2
A3532.mat 16x1+24 1000.0(0)/mV 16 0 -4 18 0 V3
A3532.mat 16x1+24 1000.0(0)/mV 16 0 -19 -5 0 V4
A3532.mat 16x1+24 1000.0(0)/mV 16 0 -17 -21 0 V5
A3532.mat 16x1+24 1000.0(0)/mV 16 0 154 -7 0 V6
# Age: 73
# Sex: Female
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown