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

File: <base>/training/georgia/g10/E09642.hea (729 bytes)
E09642 12 500 5000
E09642.mat 16x1+24 1000.0(0)/mV 16 0 19 13448 0 I
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -117 -30991 0 II
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -136 21136 0 III
E09642.mat 16x1+24 1000.0(0)/mV 16 0 48 8590 0 aVR
E09642.mat 16x1+24 1000.0(0)/mV 16 0 78 -4017 0 aVL
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -126 -4891 0 aVF
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -87 15181 0 V1
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -68 -11842 0 V2
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -107 -17580 0 V3
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -136 -24497 0 V4
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -136 6882 0 V5
E09642.mat 16x1+24 1000.0(0)/mV 16 0 -136 -11892 0 V6
# Age: 71
# Sex: Male
# Dx: 426177001,164931005
# Rx: Unknown
# Hx: Unknown