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

File: <base>/training/georgia/g6/E05739.hea (709 bytes)
E05739 12 500 5000
E05739.mat 16x1+24 1000.0(0)/mV 16 0 -48 22685 0 I
E05739.mat 16x1+24 1000.0(0)/mV 16 0 9 10300 0 II
E05739.mat 16x1+24 1000.0(0)/mV 16 0 58 -12837 0 III
E05739.mat 16x1+24 1000.0(0)/mV 16 0 19 -16521 0 aVR
E05739.mat 16x1+24 1000.0(0)/mV 16 0 -53 -14834 0 aVL
E05739.mat 16x1+24 1000.0(0)/mV 16 0 34 31641 0 aVF
E05739.mat 16x1+24 1000.0(0)/mV 16 0 48 -1795 0 V1
E05739.mat 16x1+24 1000.0(0)/mV 16 0 -68 6588 0 V2
E05739.mat 16x1+24 1000.0(0)/mV 16 0 0 -16773 0 V3
E05739.mat 16x1+24 1000.0(0)/mV 16 0 19 -23134 0 V4
E05739.mat 16x1+24 1000.0(0)/mV 16 0 19 -26046 0 V5
E05739.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24198 0 V6
# Age: 68
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown