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

File: <base>/training/cpsc_2018/g5/A4562.hea (704 bytes) 
A4562 12 500 6500
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -65 2741 0 I
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -74 -2025 0 II
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -8 1734 0 III
A4562.mat 16x1+24 1000.0(0)/mV 16 0 70 -560 0 aVR
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -28 1657 0 aVL
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -40 742 0 aVF
A4562.mat 16x1+24 1000.0(0)/mV 16 0 47 1937 0 V1
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -52 444 0 V2
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -134 -1998 0 V3
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -146 2227 0 V4
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -163 1166 0 V5
A4562.mat 16x1+24 1000.0(0)/mV 16 0 -133 -712 0 V6
# Age: 74
# Sex: Female
# Dx: 284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown