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

File: <base>/training/georgia/g7/E06934.hea (727 bytes) 
E06934 12 500 5000
E06934.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31896 0 I
E06934.mat 16x1+24 1000.0(0)/mV 16 0 19 -6250 0 II
E06934.mat 16x1+24 1000.0(0)/mV 16 0 39 24619 0 III
E06934.mat 16x1+24 1000.0(0)/mV 16 0 0 19076 0 aVR
E06934.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28144 0 aVL
E06934.mat 16x1+24 1000.0(0)/mV 16 0 29 9586 0 aVF
E06934.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19991 0 V1
E06934.mat 16x1+24 1000.0(0)/mV 16 0 97 -17933 0 V2
E06934.mat 16x1+24 1000.0(0)/mV 16 0 78 29356 0 V3
E06934.mat 16x1+24 1000.0(0)/mV 16 0 19 10346 0 V4
E06934.mat 16x1+24 1000.0(0)/mV 16 0 19 -12088 0 V5
E06934.mat 16x1+24 1000.0(0)/mV 16 0 29 4731 0 V6
# Age: 73
# Sex: Female
# Dx: 164873001,284470004,284470004
# Rx: Unknown
# Hx: Unknown