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

File: <base>/training/georgia/g10/E09597.hea (716 bytes) 
E09597 12 500 5000
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -239 -22534 0 I
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -219 -4763 0 II
E09597.mat 16x1+24 1000.0(0)/mV 16 0 19 17429 0 III
E09597.mat 16x1+24 1000.0(0)/mV 16 0 229 -19138 0 aVR
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -129 12742 0 aVL
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -100 6465 0 aVF
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -4 15948 0 V1
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -14 9672 0 V2
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -39 -26227 0 V3
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -151 842 0 V4
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -141 27465 0 V5
E09597.mat 16x1+24 1000.0(0)/mV 16 0 -19 -28642 0 V6
# Age: 82
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown