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

File: <base>/training/georgia/g10/E09294.hea (743 bytes) 
E09294 12 500 5000
E09294.mat 16x1+24 1000.0(0)/mV 16 0 -39 11010 0 I
E09294.mat 16x1+24 1000.0(0)/mV 16 0 9 15994 0 II
E09294.mat 16x1+24 1000.0(0)/mV 16 0 48 4413 0 III
E09294.mat 16x1+24 1000.0(0)/mV 16 0 14 19324 0 aVR
E09294.mat 16x1+24 1000.0(0)/mV 16 0 -43 3387 0 aVL
E09294.mat 16x1+24 1000.0(0)/mV 16 0 29 -22601 0 aVF
E09294.mat 16x1+24 1000.0(0)/mV 16 0 29 4205 0 V1
E09294.mat 16x1+24 1000.0(0)/mV 16 0 -68 -12974 0 V2
E09294.mat 16x1+24 1000.0(0)/mV 16 0 -58 12335 0 V3
E09294.mat 16x1+24 1000.0(0)/mV 16 0 -107 -633 0 V4
E09294.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22895 0 V5
E09294.mat 16x1+24 1000.0(0)/mV 16 0 -87 -1131 0 V6
# Age: 64
# Sex: Female
# Dx: 164884008,428750005,67741000119109,426177001
# Rx: Unknown
# Hx: Unknown