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

File: <base>/training/georgia/g10/E09479.hea (751 bytes) 
E09479 12 500 5000
E09479.mat 16x1+24 1000.0(0)/mV 16 0 -14 -11986 0 I
E09479.mat 16x1+24 1000.0(0)/mV 16 0 131 10024 0 II
E09479.mat 16x1+24 1000.0(0)/mV 16 0 146 22078 0 III
E09479.mat 16x1+24 1000.0(0)/mV 16 0 -58 -31671 0 aVR
E09479.mat 16x1+24 1000.0(0)/mV 16 0 -80 15996 0 aVL
E09479.mat 16x1+24 1000.0(0)/mV 16 0 139 16328 0 aVF
E09479.mat 16x1+24 1000.0(0)/mV 16 0 -87 -15505 0 V1
E09479.mat 16x1+24 1000.0(0)/mV 16 0 -9 -31469 0 V2
E09479.mat 16x1+24 1000.0(0)/mV 16 0 39 -20131 0 V3
E09479.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9667 0 V4
E09479.mat 16x1+24 1000.0(0)/mV 16 0 -53 22777 0 V5
E09479.mat 16x1+24 1000.0(0)/mV 16 0 -34 -28745 0 V6
# Age: 41
# Sex: Male
# Dx: 251120003,428750005,67741000119109,427084000
# Rx: Unknown
# Hx: Unknown