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

File: <base>/training/cpsc_2018/g2/A1632.hea (694 bytes) 
A1632 12 500 16000
A1632.mat 16x1+24 1000.0(0)/mV 16 0 60 7936 0 I
A1632.mat 16x1+24 1000.0(0)/mV 16 0 33 4837 0 II
A1632.mat 16x1+24 1000.0(0)/mV 16 0 -27 -3099 0 III
A1632.mat 16x1+24 1000.0(0)/mV 16 0 -47 -7929 0 aVR
A1632.mat 16x1+24 1000.0(0)/mV 16 0 43 6872 0 aVL
A1632.mat 16x1+24 1000.0(0)/mV 16 0 2 -450 0 aVF
A1632.mat 16x1+24 1000.0(0)/mV 16 0 66 2236 0 V1
A1632.mat 16x1+24 1000.0(0)/mV 16 0 487 2789 0 V2
A1632.mat 16x1+24 1000.0(0)/mV 16 0 365 1218 0 V3
A1632.mat 16x1+24 1000.0(0)/mV 16 0 82 290 0 V4
A1632.mat 16x1+24 1000.0(0)/mV 16 0 37 4482 0 V5
A1632.mat 16x1+24 1000.0(0)/mV 16 0 71 4523 0 V6
# Age: 35
# Sex: Male
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown