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

File: <base>/training/georgia/g2/E01262.hea (731 bytes) 
E01262 12 500 5000
E01262.mat 16x1+24 1000.0(0)/mV 16 0 -58 -12306 0 I
E01262.mat 16x1+24 1000.0(0)/mV 16 0 -19 -10159 0 II
E01262.mat 16x1+24 1000.0(0)/mV 16 0 39 2832 0 III
E01262.mat 16x1+24 1000.0(0)/mV 16 0 39 11388 0 aVR
E01262.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6925 0 aVL
E01262.mat 16x1+24 1000.0(0)/mV 16 0 9 -3568 0 aVF
E01262.mat 16x1+24 1000.0(0)/mV 16 0 97 -30825 0 V1
E01262.mat 16x1+24 1000.0(0)/mV 16 0 195 -31219 0 V2
E01262.mat 16x1+24 1000.0(0)/mV 16 0 107 -25587 0 V3
E01262.mat 16x1+24 1000.0(0)/mV 16 0 48 -19010 0 V4
E01262.mat 16x1+24 1000.0(0)/mV 16 0 9 -13734 0 V5
E01262.mat 16x1+24 1000.0(0)/mV 16 0 0 -21270 0 V6
# Age: 64
# Sex: Female
# Dx: 164889003,425419005,164934002
# Rx: Unknown
# Hx: Unknown