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

File: <base>/training/cpsc_2018/g5/A4873.hea (712 bytes) 
A4873 12 500 7000
A4873.mat 16x1+24 1000.0(0)/mV 16 0 46 342 0 I
A4873.mat 16x1+24 1000.0(0)/mV 16 0 -88 2665 0 II
A4873.mat 16x1+24 1000.0(0)/mV 16 0 -134 2323 0 III
A4873.mat 16x1+24 1000.0(0)/mV 16 0 20 -1724 0 aVR
A4873.mat 16x1+24 1000.0(0)/mV 16 0 90 2438 0 aVL
A4873.mat 16x1+24 1000.0(0)/mV 16 0 -112 -433 0 aVF
A4873.mat 16x1+24 1000.0(0)/mV 16 0 121 -1876 0 V1
A4873.mat 16x1+24 1000.0(0)/mV 16 0 241 3154 0 V2
A4873.mat 16x1+24 1000.0(0)/mV 16 0 684 1697 0 V3
A4873.mat 16x1+24 1000.0(0)/mV 16 0 586 -2594 0 V4
A4873.mat 16x1+24 1000.0(0)/mV 16 0 543 -1936 0 V5
A4873.mat 16x1+24 1000.0(0)/mV 16 0 834 1213 0 V6
# Age: 52
# Sex: Male
# Dx: 59118001,284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown