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

File: <base>/training/georgia/g10/E09954.hea (719 bytes) 
E09954 12 500 5000
E09954.mat 16x1+24 1000.0(0)/mV 16 0 19 14183 0 I
E09954.mat 16x1+24 1000.0(0)/mV 16 0 97 -11960 0 II
E09954.mat 16x1+24 1000.0(0)/mV 16 0 78 -25458 0 III
E09954.mat 16x1+24 1000.0(0)/mV 16 0 -58 31608 0 aVR
E09954.mat 16x1+24 1000.0(0)/mV 16 0 -29 19681 0 aVL
E09954.mat 16x1+24 1000.0(0)/mV 16 0 87 14126 0 aVF
E09954.mat 16x1+24 1000.0(0)/mV 16 0 -48 -14748 0 V1
E09954.mat 16x1+24 1000.0(0)/mV 16 0 -87 21689 0 V2
E09954.mat 16x1+24 1000.0(0)/mV 16 0 107 12132 0 V3
E09954.mat 16x1+24 1000.0(0)/mV 16 0 58 19129 0 V4
E09954.mat 16x1+24 1000.0(0)/mV 16 0 39 -26955 0 V5
E09954.mat 16x1+24 1000.0(0)/mV 16 0 9 14922 0 V6
# Age: 66
# Sex: Female
# Dx: 270492004,59931005
# Rx: Unknown
# Hx: Unknown