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

File: <base>/training/georgia/g10/E09667.hea (726 bytes) 
E09667 12 500 5000
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7332 0 I
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -126 -29073 0 II
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -87 -20940 0 III
E09667.mat 16x1+24 1000.0(0)/mV 16 0 82 17961 0 aVR
E09667.mat 16x1+24 1000.0(0)/mV 16 0 24 6509 0 aVL
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -107 -25043 0 aVF
E09667.mat 16x1+24 1000.0(0)/mV 16 0 48 15501 0 V1
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23622 0 V2
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -39 21922 0 V3
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -87 2201 0 V4
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -68 -7722 0 V5
E09667.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24204 0 V6
# Age: 72
# Sex: Female
# Dx: 426177001,284470004
# Rx: Unknown
# Hx: Unknown