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

File: <base>/training/cpsc_2018/g5/A4522.hea (701 bytes) 
A4522 12 500 7500
A4522.mat 16x1+24 1000.0(0)/mV 16 0 82 1855 0 I
A4522.mat 16x1+24 1000.0(0)/mV 16 0 110 -2691 0 II
A4522.mat 16x1+24 1000.0(0)/mV 16 0 29 2954 0 III
A4522.mat 16x1+24 1000.0(0)/mV 16 0 -96 2953 0 aVR
A4522.mat 16x1+24 1000.0(0)/mV 16 0 26 -1933 0 aVL
A4522.mat 16x1+24 1000.0(0)/mV 16 0 68 -3273 0 aVF
A4522.mat 16x1+24 1000.0(0)/mV 16 0 -61 447 0 V1
A4522.mat 16x1+24 1000.0(0)/mV 16 0 38 -1002 0 V2
A4522.mat 16x1+24 1000.0(0)/mV 16 0 -352 -1418 0 V3
A4522.mat 16x1+24 1000.0(0)/mV 16 0 563 358 0 V4
A4522.mat 16x1+24 1000.0(0)/mV 16 0 850 1751 0 V5
A4522.mat 16x1+24 1000.0(0)/mV 16 0 399 -1653 0 V6
# Age: 76
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown