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

File: <base>/training/cpsc_2018/g1/A0914.hea (712 bytes) 
A0914 12 500 9500
A0914.mat 16x1+24 1000.0(0)/mV 16 0 734 -1355 0 I
A0914.mat 16x1+24 1000.0(0)/mV 16 0 236 1861 0 II
A0914.mat 16x1+24 1000.0(0)/mV 16 0 -498 3216 0 III
A0914.mat 16x1+24 1000.0(0)/mV 16 0 -484 3459 0 aVR
A0914.mat 16x1+24 1000.0(0)/mV 16 0 616 -1507 0 aVL
A0914.mat 16x1+24 1000.0(0)/mV 16 0 -131 -3508 0 aVF
A0914.mat 16x1+24 1000.0(0)/mV 16 0 -353 1668 0 V1
A0914.mat 16x1+24 1000.0(0)/mV 16 0 581 883 0 V2
A0914.mat 16x1+24 1000.0(0)/mV 16 0 1040 -1249 0 V3
A0914.mat 16x1+24 1000.0(0)/mV 16 0 1109 4223 0 V4
A0914.mat 16x1+24 1000.0(0)/mV 16 0 1266 -3302 0 V5
A0914.mat 16x1+24 1000.0(0)/mV 16 0 1098 -537 0 V6
# Age: 41
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown