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

File: <base>/training/georgia/g10/E09724.hea (755 bytes) 
E09724 12 500 5000
E09724.mat 16x1+24 1000.0(0)/mV 16 0 -429 -18051 0 I
E09724.mat 16x1+24 1000.0(0)/mV 16 0 107 28498 0 II
E09724.mat 16x1+24 1000.0(0)/mV 16 0 536 -18725 0 III
E09724.mat 16x1+24 1000.0(0)/mV 16 0 161 -5133 0 aVR
E09724.mat 16x1+24 1000.0(0)/mV 16 0 -483 368 0 aVL
E09724.mat 16x1+24 1000.0(0)/mV 16 0 322 5030 0 aVF
E09724.mat 16x1+24 1000.0(0)/mV 16 0 224 -19003 0 V1
E09724.mat 16x1+24 1000.0(0)/mV 16 0 -175 21677 0 V2
E09724.mat 16x1+24 1000.0(0)/mV 16 0 156 17982 0 V3
E09724.mat 16x1+24 1000.0(0)/mV 16 0 -107 -4704 0 V4
E09724.mat 16x1+24 1000.0(0)/mV 16 0 -97 21569 0 V5
E09724.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22268 0 V6
# Age: 66
# Sex: Male
# Dx: 428750005,59118001,164934002,427084000,59931005
# Rx: Unknown
# Hx: Unknown