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

File: <base>/training/cpsc_2018/g2/A1062.hea (704 bytes) 
A1062 12 500 7500
A1062.mat 16x1+24 1000.0(0)/mV 16 0 -65 2634 0 I
A1062.mat 16x1+24 1000.0(0)/mV 16 0 3 -1957 0 II
A1062.mat 16x1+24 1000.0(0)/mV 16 0 69 2909 0 III
A1062.mat 16x1+24 1000.0(0)/mV 16 0 31 -1527 0 aVR
A1062.mat 16x1+24 1000.0(0)/mV 16 0 -67 -2634 0 aVL
A1062.mat 16x1+24 1000.0(0)/mV 16 0 35 -3635 0 aVF
A1062.mat 16x1+24 1000.0(0)/mV 16 0 -24 -1297 0 V1
A1062.mat 16x1+24 1000.0(0)/mV 16 0 -72 29 0 V2
A1062.mat 16x1+24 1000.0(0)/mV 16 0 -176 2112 0 V3
A1062.mat 16x1+24 1000.0(0)/mV 16 0 -104 -3372 0 V4
A1062.mat 16x1+24 1000.0(0)/mV 16 0 -116 2031 0 V5
A1062.mat 16x1+24 1000.0(0)/mV 16 0 -94 -1494 0 V6
# Age: 55
# Sex: Male
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown