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

File: <base>/training/cpsc_2018/g1/A0034.hea (687 bytes) 
A0034 12 500 5000
A0034.mat 16x1+24 1000.0(0)/mV 16 0 -134 -16 0 I
A0034.mat 16x1+24 1000.0(0)/mV 16 0 402 75 0 II
A0034.mat 16x1+24 1000.0(0)/mV 16 0 536 66 0 III
A0034.mat 16x1+24 1000.0(0)/mV 16 0 -134 -26 0 aVR
A0034.mat 16x1+24 1000.0(0)/mV 16 0 -335 -1 0 aVL
A0034.mat 16x1+24 1000.0(0)/mV 16 0 469 47 0 aVF
A0034.mat 16x1+24 1000.0(0)/mV 16 0 -289 -71 0 V1
A0034.mat 16x1+24 1000.0(0)/mV 16 0 -732 -90 0 V2
A0034.mat 16x1+24 1000.0(0)/mV 16 0 -543 -60 0 V3
A0034.mat 16x1+24 1000.0(0)/mV 16 0 -276 38 0 V4
A0034.mat 16x1+24 1000.0(0)/mV 16 0 -48 9 0 V5
A0034.mat 16x1+24 1000.0(0)/mV 16 0 91 10 0 V6
# Age: 61
# Sex: Male
# Dx: 164931005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown