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

File: <base>/training/cpsc_2018/g3/A2352.hea (683 bytes) 
A2352 12 500 5000
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -5 -6 0 I
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -46 30 0 II
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -40 60 0 III
A2352.mat 16x1+24 1000.0(0)/mV 16 0 25 -12 0 aVR
A2352.mat 16x1+24 1000.0(0)/mV 16 0 17 -14 0 aVL
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -43 -18 0 aVF
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -45 38 0 V1
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -16 -27 0 V2
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -7 -44 0 V3
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -22 -47 0 V4
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -152 -106 0 V5
A2352.mat 16x1+24 1000.0(0)/mV 16 0 -178 -33 0 V6
# Age: 44
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown