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

File: <base>/training/georgia/g10/E09619.hea (721 bytes) 
E09619 12 500 5000
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -58 21753 0 I
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -87 -20519 0 II
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -29 23317 0 III
E09619.mat 16x1+24 1000.0(0)/mV 16 0 73 32273 0 aVR
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -14 32685 0 aVL
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -58 1609 0 aVF
E09619.mat 16x1+24 1000.0(0)/mV 16 0 0 28242 0 V1
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -48 21206 0 V2
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -126 6217 0 V3
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -126 5156 0 V4
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -136 -12363 0 V5
E09619.mat 16x1+24 1000.0(0)/mV 16 0 -136 -4101 0 V6
# Age: 51
# Sex: Male
# Dx: 270492004,59931005
# Rx: Unknown
# Hx: Unknown