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

File: <base>/training/cpsc_2018/g5/A4592.hea (670 bytes) 
A4592 12 500 5000
A4592.mat 16x1+24 1000.0(0)/mV 16 0 -62 39 0 I
A4592.mat 16x1+24 1000.0(0)/mV 16 0 -14 2 0 II
A4592.mat 16x1+24 1000.0(0)/mV 16 0 48 45 0 III
A4592.mat 16x1+24 1000.0(0)/mV 16 0 37 -54 0 aVR
A4592.mat 16x1+24 1000.0(0)/mV 16 0 -55 -9 0 aVL
A4592.mat 16x1+24 1000.0(0)/mV 16 0 18 41 0 aVF
A4592.mat 16x1+24 1000.0(0)/mV 16 0 12 -61 0 V1
A4592.mat 16x1+24 1000.0(0)/mV 16 0 16 -47 0 V2
A4592.mat 16x1+24 1000.0(0)/mV 16 0 25 -48 0 V3
A4592.mat 16x1+24 1000.0(0)/mV 16 0 25 -31 0 V4
A4592.mat 16x1+24 1000.0(0)/mV 16 0 4 8 0 V5
A4592.mat 16x1+24 1000.0(0)/mV 16 0 -1 75 0 V6
# Age: 82
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown