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

File: <base>/training/georgia/g10/E09142.hea (765 bytes) 
E09142 12 500 5000
E09142.mat 16x1+24 1000.0(0)/mV 16 0 0 19535 0 I
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -68 29460 0 II
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -68 9406 0 III
E09142.mat 16x1+24 1000.0(0)/mV 16 0 34 8127 0 aVR
E09142.mat 16x1+24 1000.0(0)/mV 16 0 34 5001 0 aVL
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13388 0 aVF
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -156 11242 0 V1
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -156 -17587 0 V2
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -146 2866 0 V3
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -136 -15101 0 V4
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -165 31727 0 V5
E09142.mat 16x1+24 1000.0(0)/mV 16 0 -156 -4442 0 V6
# Age: 57
# Sex: Female
# Dx: 713426002,111975006,164930006,426177001,425419005,164934002
# Rx: Unknown
# Hx: Unknown