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

File: <base>/training/georgia/g2/E01906.hea (729 bytes) 
E01906 12 500 5000
E01906.mat 16x1+24 1000.0(0)/mV 16 0 -9 -18149 0 I
E01906.mat 16x1+24 1000.0(0)/mV 16 0 34 1189 0 II
E01906.mat 16x1+24 1000.0(0)/mV 16 0 43 20455 0 III
E01906.mat 16x1+24 1000.0(0)/mV 16 0 -12 8369 0 aVR
E01906.mat 16x1+24 1000.0(0)/mV 16 0 -26 -19438 0 aVL
E01906.mat 16x1+24 1000.0(0)/mV 16 0 39 10754 0 aVF
E01906.mat 16x1+24 1000.0(0)/mV 16 0 4 -11892 0 V1
E01906.mat 16x1+24 1000.0(0)/mV 16 0 -73 -27403 0 V2
E01906.mat 16x1+24 1000.0(0)/mV 16 0 0 29204 0 V3
E01906.mat 16x1+24 1000.0(0)/mV 16 0 -9 27874 0 V4
E01906.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23879 0 V5
E01906.mat 16x1+24 1000.0(0)/mV 16 0 -63 -22558 0 V6
# Age: 44
# Sex: Female
# Dx: 428750005,111975006,164930006
# Rx: Unknown
# Hx: Unknown