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

File: <base>/training/cpsc_2018/g5/A4262.hea (674 bytes) 
A4262 12 500 7500
A4262.mat 16x1+24 1000.0(0)/mV 16 0 64 37 0 I
A4262.mat 16x1+24 1000.0(0)/mV 16 0 52 4 0 II
A4262.mat 16x1+24 1000.0(0)/mV 16 0 -12 -17 0 III
A4262.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7 0 aVR
A4262.mat 16x1+24 1000.0(0)/mV 16 0 37 -2 0 aVL
A4262.mat 16x1+24 1000.0(0)/mV 16 0 20 -3 0 aVF
A4262.mat 16x1+24 1000.0(0)/mV 16 0 63 43 0 V1
A4262.mat 16x1+24 1000.0(0)/mV 16 0 491 38 0 V2
A4262.mat 16x1+24 1000.0(0)/mV 16 0 386 74 0 V3
A4262.mat 16x1+24 1000.0(0)/mV 16 0 304 34 0 V4
A4262.mat 16x1+24 1000.0(0)/mV 16 0 236 22 0 V5
A4262.mat 16x1+24 1000.0(0)/mV 16 0 -133 -50 0 V6
# Age: 33
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown