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

File: <base>/training/georgia/g6/E05323.hea (721 bytes) 
E05323 12 500 5000
E05323.mat 16x1+24 1000.0(0)/mV 16 0 29 16204 0 I
E05323.mat 16x1+24 1000.0(0)/mV 16 0 263 -31106 0 II
E05323.mat 16x1+24 1000.0(0)/mV 16 0 234 18844 0 III
E05323.mat 16x1+24 1000.0(0)/mV 16 0 -146 -25306 0 aVR
E05323.mat 16x1+24 1000.0(0)/mV 16 0 -102 31610 0 aVL
E05323.mat 16x1+24 1000.0(0)/mV 16 0 248 -6085 0 aVF
E05323.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16038 0 V1
E05323.mat 16x1+24 1000.0(0)/mV 16 0 244 -21829 0 V2
E05323.mat 16x1+24 1000.0(0)/mV 16 0 185 -24490 0 V3
E05323.mat 16x1+24 1000.0(0)/mV 16 0 185 -15766 0 V4
E05323.mat 16x1+24 1000.0(0)/mV 16 0 87 -24526 0 V5
E05323.mat 16x1+24 1000.0(0)/mV 16 0 29 -21850 0 V6
# Age: 56
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown